PLOS Digital Health

2022 - 2025

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Volume 4, issue 5, 2025

From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities pp. 1-29

Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen and Andra V Krauze

Comparing the predictive discrimination of machine learning models for ordinal outcomes: A case study of dehydration prediction in patients with acute diarrhea pp. 1-13

Kexin Qu, Monique Gainey, Samika S Kanekar, Sabiha Nasrim, Eric J Nelson, Stephanie C Garbern, Mahmuda Monjory, Nur H Alam, Adam C Levine and Christopher H Schmid

Assessing perioperative risks in a mixed elderly surgical population using machine learning: A multi-objective symbolic regression approach to cardiorespiratory fitness derived from cardiopulmonary exercise testing pp. 1-18

Pietro Arina, Davide Ferrari, Maciej R Kaczorek, Nicholas Tetlow, Amy Dewar, Robert Stephens, Daniel Martin, Ramani Moonesinghe, Mervyn Singer, John Whittle and Evangelos B Mazomenos

AI-driven healthcare: Fairness in AI healthcare: A survey pp. 1-27

Sribala Vidyadhari Chinta, Zichong Wang, Avash Palikhe, Xingyu Zhang, Ayesha Kashif, Monique Antoinette Smith, Jun Liu and Wenbin Zhang

Utilizing process mining in quality management: A case study in radiation oncology pp. 1-32

Mohammad Bakhtiari

Volume 4, issue 4, 2025

A comparative study of explainability methods for whole slide classification of lymph node metastases using vision transformers pp. 1-21

Jens Rahnfeld, Mehdi Naouar, Gabriel Kalweit, Joschka Boedecker, Estelle Dubruc and Maria Kalweit

Byte-sized progress: Will the current economic crisis in Sri Lanka impede the advancement of digital health citizenship in the country? pp. 1-5

Udani De Silva, Mithara Fonseka and Sanduni Kotinkaduwa

Unsupervised machine learning identifies opioid taper reversal patterns in a longitudinal cohort (2008–2018) pp. 1-13

Monika Ray, Joshua J Fenton and Patrick S Romano

Using machine learning and single nucleotide polymorphisms for improving rheumatoid arthritis risk Prediction in postmenopausal women pp. 1-13

Yingke Xu and Qing Wu

Perinatal mental health care goes digital: Opportunities for digital health to revolutionize the care delivery for healthier pregnancies and outcomes pp. 1-7

Bindu Chanagala, Suneet P Chauhan, Sheehan D Fisher, Matthew Hoffman and Martin G Frasch

Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice pp. 1-12

Ellison B Weiner, Irene Dankwa-Mullan, William A Nelson and Saeed Hassanpour

The effect of software and hardware version on Apple Watch activity measurement: A secondary analysis of the COVFIT retrospective cohort study pp. 1-14

Shelby L Sturrock, Rahim Moineddin, Dionne Gesink, Sarah Woodruff and Daniel Fuller

GPS navigation assistance is associated with driving mobility in older drivers pp. 1-14

Sol Morrissey, Stephen Jeffs, Rachel Gillings, Mizanur Khondoker, Anuraj Varshney, Mary Fisher-Morris, Ed Manley and Michael Hornberger

Implementation and impact of mhealth in the management of diabetes mellitus in Africa: A systematic review and meta-analysis pp. 1-14

Franklin Okechukwu Dike, Jean Claude Mutabazi, Ezekiel Musa, Blessing Chinenye Ubani, Ahmed Sherif Isa, Chidiebele Malachy Ezeude, Henry Iheonye and Isah Idris Ainavi

Preclinical usability evaluation of the Liveborn app: A mobile health application that provides feedback for neonatal resuscitation pp. 1-14

Daniel Ishoso, Eric Mafuta, Kourtney Bettinger, Carl Bose, Benjamin H Chi, Ingunn Haug, Patricia Gomez, Joar Eilevstjønn, Abigail McRea, Helge Myklebust, Antoinette Tshefu and Jackie K Patterson

Association of the child opportunity index with in-hospital mortality and persistence of organ dysfunction at one week after onset of Phoenix Sepsis among children admitted to the pediatric intensive care unit with suspected infection pp. 1-15

Ronald Moore, Daniela Chanci, Stephanie R Brown, Michael J Ripple, Natalie R Bishop, Jocelyn Grunwell and Rishikesan Kamaleswaran

Chronobiologically-informed features from CGM data provide unique information for XGBoost prediction of longer-term glycemic dysregulation in 8,000 individuals with type-2 diabetes pp. 1-15

Jamison H Burks, Leslie Joe, Karina Kanjaria, Carlos Monsivais, Kate O'laughlin and Benjamin L Smarr

Design and implementation of digital literacy training programme: Findings of a quasi- experimental study from rural India pp. 1-16

Aparajita Gogoi, Mercy Manoranjini and Mamta Gupta

Navigating digital frontiers in UAE healthcare: A qualitative exploration of healthcare professionals’ and patients’ experiences with AI and telemedicine pp. 1-29

Azza Alkaabi and Deena Elsori

Evaluating the feasibility, adoption, cost-effectiveness, and sustainability of telemedicine interventions in managing COVID-19 within low-and-middle-income countries (LMICs): A systematic review pp. 1-17

Nonye M Okafor, Imani Thompson, Vandana Venkat, Courtney Robinson, Aishwarya Rao, Sumedha Kulkarni, Leah Frerichs, Khady Ndiaye, Deborah Adenikinju, Chukwuemeka Iloegbu, John Pateña, Hope Lappen, Dorice Vieira, Joyce Gyamfi and Emmanuel Peprah

Digital technology as a tool to provide social support to individuals with cancer in low- and middle-income countries: A scoping review pp. 1-11

Hallie Dau, Fazila Kassam, Beth A Payne, Hana Miller and Gina Ogilvie

Combating noncommunicable diseases in a digital world: Youth shaping the future through digital citizenship for health pp. 1-3

Salman Fitrat Khan and Aditi Jhaveri

Volume 4, issue 3, 2025

Evaluating fairness of machine learning prediction of prolonged wait times in Emergency Department with Interpretable eXtreme gradient boosting pp. 1-15

Hao Wang, Nethra Sambamoorthi, Nathan Hoot, David Bryant and Usha Sambamoorthi

Systemic transphobia and ongoing barriers to healthcare for transgender and nonbinary people: A historical analysis of #TransHealthFail pp. 1-28

Allison J McLaughlin, Saren Nonoyama, Lauren Glupe and Jordon D Bosse

Volume 4, issue 2, 2025

Diabetes-focused food recommender system (DFRS) to enabling digital health pp. 1-10

Esmael Ahmed, Mohammed Oumer and Medina Hassan

Digital health equity: Crafting sustainable pathways pp. 1-10

Robin Pierce

Forecasting mental states in schizophrenia using digital phenotyping data pp. 1-20

Thierry Jean, Rose Guay Hottin and Pierre Orban

An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers pp. 1-19

Michael Owusu-Adjei, James Ben Hayfron-Acquah, Twum Frimpong and Abdul-Salaam Gaddafi

Comparison of anonymization techniques regarding statistical reproducibility pp. 1-19

David Pau, Camille Bachot, Charles Monteil, Laetitia Vinet, Mathieu Boucher, Nadir Sella and Romain Jegou

Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings pp. 1-17

Ioana Duta, Symon M Kariuki, Anthony K Ngugi, Angelina Kakooza Mwesige, Honorati Masanja, Daniel M Mwanga, Seth Owusu-Agyei, Ryan Wagner, J Helen Cross, Josemir W Sander, Charles R Newton, Arjune Sen and Gabriel Davis Jones

Volume 4, issue 1, 2025

Comparing imputation approaches to handle systematically missing inputs in risk calculators pp. 1-26

Anja Mühlemann, Philip Stange, Antoine Faul, Serena Lozza-Fiacco, Rowan Iskandar, Manuela Moraru, Susanne Theis, Petra Stute, Ben D Spycher and David Ginsbourger

Performance evaluation and comparative analysis of different machine learning algorithms in predicting postnatal care utilization: Evidence from the ethiopian demographic and health survey 2016 pp. 1-25

Daniel Niguse Mamo, Agmasie Damtew Walle, Eden Ketema Woldekidan, Jibril Bashir Adem, Yosef Haile Gebremariam, Meron Asmamaw Alemayehu, Ermias Bekele Enyew and Shimels Derso Kebede

Synthetic data as external control arms in scarce single-arm clinical trials pp. 1-13

Severin Elvatun, Daan Knoors, Simon Brant, Christian Jonasson and Jan F Nygård

Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms pp. 1-22

Jo-Wai Douglas Wang

Epidemiological methods in transition: Minimizing biases in classical and digital approaches pp. 1-18

Sara Mesquita, Lília Perfeito, Daniela Paolotti and Joana Gonçalves-Sá

Post-concussion symptom burden and dynamics: Insights from a digital health intervention and machine learning pp. 1-15

Rebecca Blundell, Christine d’Offay, Charles Hand, Daniel Tadmor, Alan Carson, David Gillespie, Matthew Reed and Aimun A B Jamjoom

A data management system for precision medicine pp. 1-21

John J L Jacobs, Inés Beekers, Inge Verkouter, Levi B Richards, Alexandra Vegelien, Lizan D Bloemsma, Vera A M C Bongaerts, Jacqueline Cloos, Frederik Erkens, Patrycja Gradowska, Simon Hort, Michael Hudecek, Manel Juan, Anke H Maitland- van der Zee, Sergio Navarro-Velázquez, Lok Lam Ngai, Qasim A Rafiq, Carmen Sanges, Jesse Tettero, Hendrikus J A van Os, Rimke C Vos, Yolanda de Wit and Steven van Dijk

A scoping review of the electronic collection and capture of patient reported outcome measures for children and young people in the hospital setting pp. 1-21

Anne Alarilla, Neil J Sebire, Josh Keith, Mario Cortina-Borja, Jo Wray and Gwyneth Davies

Quality of life disparities among Mexican people with systemic lupus erythematosus pp. 1-14

Ana Laura Hernández-Ledesma, Domingo Martínez, Elizabeth Fajardo-Brigido, Talía V Román-López, Karen J Nuñez-Reza, Andrea Y Tapia-Atilano, Sandra V Vera del Valle, Donají Domínguez-Zúñiga, Lizbet Tinajero-Nieto, Angélica Peña-Ayala, Estefania Torres-Valdez, Gabriel Frontana-Vázquez, María Gutiérrez-Arcelus, Florencia Rosetti, Sarael Alcauter, Miguel E Rentería, Alejandra E Ruiz-Contreras, Deshiré Alpízar-Rodríguez and Alejandra Medina-Rivera

Volume 3, issue 12, 2024

Neural network-based arterial diameter estimation from ultrasound data pp. 1-19

Zhuangzhuang Yu, Manolis Sifalakis, Borbála Hunyadi and Fabian Beutel

A voice-based algorithm can predict type 2 diabetes status in USA adults: Findings from the Colive Voice study pp. 1-14

Abir Elbéji, Mégane Pizzimenti, Gloria Aguayo, Aurélie Fischer, Hanin Ayadi, Franck Mauvais-Jarvis, Jean-Pierre Riveline, Vladimir Despotovic and Guy Fagherazzi

From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven cardiac auscultation research for low-income settings pp. 1-27

Felix Krones and Benjamin Walker

Automated craniofacial biometry with 3D T2w fetal MRI pp. 1-27

Jacqueline Matthew, Alena Uus, Alexia Egloff Collado, Aysha Luis, Sophie Arulkumaran, Abi Fukami-Gartner, Vanessa Kyriakopoulou, Daniel Cromb, Robert Wright, Kathleen Colford, Maria Deprez, Jana Hutter, Jonathan O’Muircheartaigh, Christina Malamateniou, Reza Razavi, Lisa Story, Joseph V Hajnal and Mary A Rutherford

CPLLM: Clinical prediction with large language models pp. 1-15

Ofir Ben Shoham and Nadav Rappoport

Views and experiences of young people on using mHealth platforms for sexual and reproductive health services in rural low-and middle-income countries: A qualitative systematic review pp. 1-20

Alexander S Laar, Melissa L Harris, Md N Khan and Deborah Loxton

EXAM: Ex-vivo allograft monitoring dashboard for the analysis of hypothermic machine perfusion data in deceased-donor kidney transplantation pp. 1-11

Simon Schwab, Hélène Steck, Isabelle Binet, Andreas Elmer, Wolfgang Ender, Nicola Franscini, Fadi Haidar, Christian Kuhn, Daniel Sidler, Federico Storni, Nathalie Krügel and Franz Immer

Multicenter comparative analysis of local and aggregated data training strategies in COVID-19 outcome prediction with Machine learning pp. 1-13

Carine Savalli, Roberta Moreira Wichmann, Fabiano Barcellos Filho, Fernando Timoteo Fernandes, Alexandre Dias Porto Chiavegatto Filho and on behalf of IACOV-BR Network

Volume 3, issue 11, 2024

How can digital citizen science approaches improve ethical smartphone use surveillance among youth: Traditional surveys versus ecological momentary assessments pp. 1-17

Sarah Al-akshar, Sheriff Tolulope Ibrahim and Tarun Reddy Katapally

A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms pp. 1-20

Andrew McDonald, Mark J F Gales and Anurag Agarwal

A feature-based qualitative assessment of smoking cessation mobile applications pp. 1-20

Lydia Tesfaye, Michael Wakeman, Gunnar Baskin, Greg Gruse, Tim Gregory, Erin Leahy, Brandon Kendrick and Sherine El-Toukhy

A transparent and standardized performance measurement platform is needed for on-prescription digital health apps to enable ongoing performance monitoring pp. 1-15

Cindy Welzel, Stefanie Brückner, Celia Brightwell, Matthew Fenech and Stephen Gilbert

Early identification of children with Attention-Deficit/Hyperactivity Disorder (ADHD) pp. 1-16

Yang S Liu, Fernanda Talarico, Dan Metes, Yipeng Song, Mengzhe Wang, Lawrence Kiyang, Dori Wearmouth, Shelly Vik, Yifeng Wei, Yanbo Zhang, Jake Hayward, Ghalib Ahmed, Ashley Gaskin, Russell Greiner, Andrew Greenshaw, Alex Alexander, Magdalena Janus and Bo Cao

Deep learning-based screening for locomotive syndrome using single-camera walking video: Development and validation study pp. 1-16

Junichi Kushioka, Satoru Tada, Noriko Takemura, Taku Fujimoto, Hajime Nagahara, Masahiko Onoe, Keiko Yamada, Rodrigo Navarro-Ramirez, Takenori Oda, Hideki Mochizuki, Ken Nakata, Seiji Okada and Yu Moriguchi

New colleague or gimmick hurdle? A user-centric scoping review of the barriers and facilitators of robots in hospitals pp. 1-30

Mathias Kofoed Rasmussen, Anna Schneider-Kamp, Tobias Hyrup and Alessandro Godono

Diagnostic accuracy of a smartphone-based device (VistaView) for detection of diabetic retinopathy: A prospective study pp. 1-12

Rida Shahzad, Arshad Mehmood, Danish Shabbir and M A Rehman Siddiqui

Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records pp. 1-32

Rajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, Birgitta Ehrnström, Jan Kristian Damås and Øystein Nytrø

Bias in medical AI: Implications for clinical decision-making pp. 1-19

James L Cross, Michael A Choma and John A Onofrey

Combining OpenStreetMap mapping and route optimization algorithms to inform the delivery of community health interventions at the last mile pp. 1-21

Mauricianot Randriamihaja, Felana Angella Ihantamalala, Feno H. Rafenoarimalala, Karen E Finnegan, Luc Rakotonirina, Benedicte Razafinjato, Matthew H. Bonds, Michelle V. Evans and Andres Garchitorena

Real-world patterns in remote longitudinal study participation: A study of the Swiss Multiple Sclerosis Registry pp. 1-18

Paola Daniore, Chuqiao Yan, Mina Stanikic, Stefania Iaquinto, Sabin Ammann, Christian P Kamm, Chiara Zecca, Pasquale Calabrese, Nina Steinemann and Viktor von Wyl

Meeting people where they are: Crowdsourcing goal-specific personalized wellness practices pp. 1-18

Johanna E Hidalgo, Julia Kim, Jordan Llorin, Kathryn Stanton, Josh Cherian, Laura Bloomfield, Mikaela Fudolig, Matthew Price, Jennifer Ha, Natalie Noble, Christopher M Danforth, Peter Sheridan Dodds, Jason Fanning, Ryan S McGinnis and Ellen W McGinnis

Volume 3, issue 10, 2024

Unsupervised clustering of longitudinal clinical measurements in electronic health records pp. 1-20

Arshiya Mariam, Hamed Javidi, Emily C Zabor, Ran Zhao, Tomas Radivoyevitch and Daniel M Rotroff

Derivation and validation of an algorithm to predict transitions from community to residential long-term care among persons with dementia—A retrospective cohort study pp. 1-13

Wenshan Li, Luke Turcotte, Amy T Hsu, Robert Talarico, Danial Qureshi, Colleen Webber, Steven Hawken, Peter Tanuseputro, Douglas G Manuel and Greg Huyer

Socioeconomic and demographic patterning of family uptake of a paediatric electronic patient portal innovation pp. 1-13

Ameenat Lola Solebo, Lisanne Horvat-Gitsels, Christine Twomey, Siegfried Karl Wagner and Jugnoo S Rahi

Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship pp. 1-13

Davide Ferrari, Pietro Arina, Jonathan Edgeworth, Vasa Curcin, Veronica Guidetti, Federica Mandreoli and Yanzhong Wang

Automated image transcription for perinatal blood pressure monitoring using mobile health technology pp. 1-17

Nasim Katebi, Whitney Bremer, Tony Nguyen, Daniel Phan, Jamila Jeff, Kirkland Armstrong, Paula Phabian-Millbrook, Marissa Platner, Kimberly Carroll, Banafsheh Shoai, Peter Rohloff, Sheree L Boulet, Cheryl G Franklin and Gari D Clifford

Machine Learning For Risk Prediction After Heart Failure Emergency Department Visit or Hospital Admission Using Administrative Health Data pp. 1-17

Nowell M Fine, Sunil V Kalmady, Weijie Sun, Russ Greiner, Jonathan G Howlett, James A White, Finlay A McAlister, Justin A Ezekowitz and Padma Kaul

Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifier pp. 1-17

Elizabeth A Campbell, Saurav Bose and Aaron J Masino

Data as scientific currency: Challenges experienced by researchers with sharing health data in sub-Saharan Africa pp. 1-24

Jyothi Chabilall, Qunita Brown, Nezerith Cengiz and Keymanthri Moodley

Exploring the relationship between telehealth utilization and treatment burden among patients with chronic conditions: A cross-sectional study in Ontario, Canada pp. 1-18

Farah Tahsin, Carolyn Steele Gray, Jay Shaw and Aviv Shachak

Learning and diSentangling patient static information from time-series Electronic hEalth Records (STEER) pp. 1-18

Wei Liao and Joel Voldman

Inferring gender from first names: Comparing the accuracy of Genderize, Gender API, and the gender R package on authors of diverse nationality pp. 1-15

Alexander D VanHelene, Ishaani Khatri, C Beau Hilton, Sanjay Mishra, Ece D Gamsiz Uzun and Jeremy L Warner

Attitudes towards digital health technology for the care of people with chronic kidney disease: A technology acceptance model exploration pp. 1-15

Daphne Kaklamanou, Le Nguyen, Miznah Al-Abbadey, Nick Sangala and Robert Lewis

A novel digital health approach to improving global pediatric sepsis care in Bangladesh using wearable technology and machine learning pp. 1-19

Stephanie C Garbern, Gazi Md Salahuddin Mamun, Shamsun Nahar Shaima, Nicole Hakim, Stephan Wegerich, Srilakshmi Alla, Monira Sarmin, Farzana Afroze, Jadranka Sekaric, Alicia Genisca, Nidhi Kadakia, Kikuyo Shaw, Abu Sayem Mirza Md Hasibur Rahman, Monique Gainey, Tahmeed Ahmed, Mohammod Jobayer Chisti and Adam C Levine

Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative review pp. 1-14

Luis Filipe Nakayama, João Matos, Justin Quion, Frederico Novaes, William Greig Mitchell, Rogers Mwavu, Claudia Ju-Yi Ji Hung, Alvina Pauline Dy Santiago, Warachaya Phanphruk, Jaime S Cardoso and Leo Anthony Celi

Impact of observability period on the classification of COPD diagnosis timing among Medicare beneficiaries with lung cancer pp. 1-14

Eman Metwally, Sarah E Soppe, Jennifer L Lund, Sharon Peacock Hinton and Caroline A Thompson

Volume 3, issue 9, 2024

Economic impact of a vision-based patient monitoring system across five NHS mental health trusts pp. 1-14

Ciara Buckley, Robert Malcolm and Jo Hanlon

Automatic detection of problem-gambling signs from online texts using large language models pp. 1-21

Elke Smith, Jan Peters and Nils Reiter

Six-year (2016–2022) longitudinal patterns of mental health service utilization rates among children developmentally vulnerable in kindergarten and the COVID-19 pandemic disruption pp. 1-15

Fernanda Talarico, Dan Metes, Mengzhe Wang, Jake Hayward, Yang S Liu, Julie Tian, Yanbo Zhang, Andrew J Greenshaw, Ashley Gaskin, Magdalena Janus and Bo Cao

Short-term vital parameter forecasting in the intensive care unit: A benchmark study leveraging data from patients after cardiothoracic surgery pp. 1-18

Nils Hinrichs, Tobias Roeschl, Pia Lanmueller, Felix Balzer, Carsten Eickhoff, Benjamin O’Brien, Volkmar Falk and Alexander Meyer

Aspiring to clinical significance: Insights from developing and evaluating a machine learning model to predict emergency department return visit admissions pp. 1-18

Yiye Zhang, Yufang Huang, Anthony Rosen, Lynn G Jiang, Matthew McCarty, Arindam RoyChoudhury, Jin Ho Han, Adam Wright, Jessica S Ancker and Peter AD Steel

Boosting efficiency in a clinical literature surveillance system with LightGBM pp. 1-16

Cynthia Lokker, Wael Abdelkader, Elham Bagheri, Rick Parrish, Chris Cotoi, Tamara Navarro, Federico Germini, Lori-Ann Linkins, R Brian Haynes, Lingyang Chu, Muhammad Afzal and Alfonso Iorio

Impact of electronic medical records on healthcare delivery in Nigeria: A review pp. 1-12

Sarah Oreoluwa Olukorode, Oluwakorede Joshua Adedeji, Adetayo Adetokun and Ajibola Ibraheem Abioye

Volume 3, issue 8, 2024

Personalizing the empiric treatment of gonorrhea using machine learning models pp. 1-14

Rachel E Murray-Watson, Yonatan H Grad, Sancta B St. Cyr and Reza Yaesoubi

Applied artificial intelligence for global child health: Addressing biases and barriers pp. 1-14

Vijaytha Muralidharan, Joel Schamroth, Alaa Youssef, Leo A Celi and Roxana Daneshjou

QRS detection in single-lead, telehealth electrocardiogram signals: Benchmarking open-source algorithms pp. 1-19

Florian Kristof, Maximilian Kapsecker, Leon Nissen, James Brimicombe, Martin R Cowie, Zixuan Ding, Andrew Dymond, Stephan M Jonas, Hannah Clair Lindén, Gregory Y H Lip, Kate Williams, Jonathan Mant, Peter H Charlton and on behalf of the SAFER Investigators

Predicting postoperative delirium assessed by the Nursing Screening Delirium Scale in the recovery room for non-cardiac surgeries without craniotomy: A retrospective study using a machine learning approach pp. 1-21

Niklas Giesa, Stefan Haufe, Mario Menk, Björn Weiß, Claudia D Spies, Sophie K Piper, Felix Balzer and Sebastian D Boie

Improving sepsis prediction in intensive care with SepsisAI: A clinical decision support system with a focus on minimizing false alarms pp. 1-16

Ankit Gupta, Ruchi Chauhan, Saravanan G and Ananth Shreekumar

Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study pp. 1-16

Masao Iwagami, Ryota Inokuchi, Eiryo Kawakami, Tomohide Yamada, Atsushi Goto, Toshiki Kuno, Yohei Hashimoto, Nobuaki Michihata, Tadahiro Goto, Tomohiro Shinozaki, Yu Sun, Yuta Taniguchi, Jun Komiyama, Kazuaki Uda, Toshikazu Abe and Nanako Tamiya

Cutting consumption without diluting the experience: Preferences for different tactics for reducing alcohol consumption among increasing-and-higher-risk drinkers based on drinking context pp. 1-18

Melissa Oldham, Tosan Okpako, Corinna Leppin, Claire Garnett, Larisa-Maria Dina, Abigail Stevely, Andrew Jones and John Holmes

Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development pp. 1-29

Olga Perski, Dimitra Kale, Corinna Leppin, Tosan Okpako, David Simons, Stephanie P Goldstein, Eric Hekler and Jamie Brown

How to design equitable digital health tools: A narrative review of design tactics, case studies, and opportunities pp. 1-26

Amy Bucher, Beenish M Chaudhry, Jean W Davis, Katharine Lawrence, Emily Panza, Manal Baqer, Rebecca T Feinstein, Sherecce A Fields, Jennifer Huberty, Deanna M Kaplan, Isabelle S Kusters, Frank T Materia, Susanna Y Park and Maura Kepper

Synergistic patient factors are driving recent increased pediatric urgent care demand pp. 1-12

Emily Lehan, Peyton Briand, Eileen O’Brien, Aleena Amjad Hafeez and Daniel J Mulder

Volume 3, issue 7, 2024

Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study pp. 1-25

Edward De Brouwer, Thijs Becker, Lorin Werthen-Brabants, Pieter Dewulf, Dimitrios Iliadis, Cathérine Dekeyser, Guy Laureys, Bart Van Wijmeersch, Veronica Popescu, Tom Dhaene, Dirk Deschrijver, Willem Waegeman, Bernard De Baets, Michiel Stock, Dana Horakova, Francesco Patti, Guillermo Izquierdo, Sara Eichau, Marc Girard, Alexandre Prat, Alessandra Lugaresi, Pierre Grammond, Tomas Kalincik, Raed Alroughani, Francois Grand’Maison, Olga Skibina, Murat Terzi, Jeannette Lechner-Scott, Oliver Gerlach, Samia J Khoury, Elisabetta Cartechini, Vincent Van Pesch, Maria José Sà, Bianca Weinstock-Guttman, Yolanda Blanco, Radek Ampapa, Daniele Spitaleri, Claudio Solaro, Davide Maimone, Aysun Soysal, Gerardo Iuliano, Riadh Gouider, Tamara Castillo-Triviño, José Luis Sánchez-Menoyo, Guy Laureys, Anneke van der Walt, Jiwon Oh, Eduardo Aguera-Morales, Ayse Altintas, Abdullah Al-Asmi, Koen de Gans, Yara Fragoso, Tunde Csepany, Suzanne Hodgkinson, Norma Deri, Talal Al-Harbi, Bruce Taylor, Orla Gray, Patrice Lalive, Csilla Rozsa, Chris McGuigan, Allan Kermode, Angel Pérez Sempere, Simu Mihaela, Magdolna Simo, Todd Hardy, Danny Decoo, Stella Hughes, Nikolaos Grigoriadis, Attila Sas, Norbert Vella, Yves Moreau and Liesbet Peeters

Work-related smartphone use during off-job hours and work-life conflict: A scoping review pp. 1-25

Holly Blake, Juliet Hassard, Jasmeet Singh and Kevin Teoh

Diversity and inclusion: A hidden additional benefit of Open Data pp. 1-17

Marie-Laure Charpignon, Leo Anthony Celi, Marisa Cobanaj, Rene Eber, Amelia Fiske, Jack Gallifant, Chenyu Li, Gurucharan Lingamallu, Anton Petushkov and Robin Pierce

Predicting sexually transmitted infections among men who have sex with men in Zimbabwe using deep learning and ensemble machine learning models pp. 1-17

Owen Mugurungi, Elliot Mbunge, Rutendo Birri-Makota, Innocent Chingombe, Munyaradzi Mapingure, Brian Moyo, Amon Mpofu, John Batani, Benhildah Muchemwa, Chesterfield Samba, Delight Murigo, Musa Sibindi, Enos Moyo, Tafadzwa Dzinamarira and Godfrey Musuka

Variable importance analysis with interpretable machine learning for fair risk prediction pp. 1-15

Yilin Ning, Siqi Li, Yih Yng Ng, Michael Yih Chong Chia, Han Nee Gan, Ling Tiah, Desmond Renhao Mao, Wei Ming Ng, Benjamin Sieu-Hon Leong, Nausheen Doctor, Marcus Eng Hock Ong and Nan Liu

Key considerations in the adoption of Artificial Intelligence in public health pp. 1-5

Itai Bavli and Sandro Galea

Geographical validation of the Smart Triage Model by age group pp. 1-18

Cherri Zhang, Matthew O Wiens, Dustin Dunsmuir, Yashodani Pillay, Charly Huxford, David Kimutai, Emmanuel Tenywa, Mary Ouma, Joyce Kigo, Stephen Kamau, Mary Chege, Nathan Kenya-Mugisha, Savio Mwaka, Guy A Dumont, Niranjan Kissoon, Samuel Akech, J Mark Ansermino and on behalf of the Pediatric Sepsis CoLab

Volume 3, issue 6, 2024

External validation of a paediatric Smart triage model for use in resource limited facilities pp. 1-16

Joyce Kigo, Stephen Kamau, Alishah Mawji, Paul Mwaniki, Dustin Dunsmuir, Yashodani Pillay, Cherri Zhang, Katija Pallot, Morris Ogero, David Kimutai, Mary Ouma, Ismael Mohamed, Mary Chege, Lydia Thuranira, Niranjan Kissoon, J Mark Ansermino and Samuel Akech

Empowering US healthcare delivery organizations: Cultivating a community of practice to harness AI and advance health equity pp. 1-10

Mark P Sendak, Jee Young Kim, Alifia Hasan, Will Ratliff, Mark A Lifson, Manesh Patel, Iniouluwa Deborah Raji, Ajai Sehgal, Keo Shaw, Danny Tobey, Alexandra Valladares, David E Vidal and Suresh Balu

Detection of honey adulteration using machine learning pp. 1-25

Esmael Ahmed

Volume 3, issue 5, 2024

An interpretable framework to identify responsive subgroups from clinical trials regarding treatment effects: Application to treatment of intracerebral hemorrhage pp. 1-17

Yaobin Ling, Muhammad Bilal Tariq, Kaichen Tang, Jaroslaw Aronowski, Yang Fann, Sean I Savitz, Xiaoqian Jiang and Yejin Kim

Patient informed consent, ethical and legal considerations in the context of digital vulnerability with smart, cardiac implantable electronic devices pp. 1-17

Leanne N S Torgersen, Stefan M Schulz, Ricardo G Lugo and Stefan Sütterlin

Frameworks for procurement, integration, monitoring, and evaluation of artificial intelligence tools in clinical settings: A systematic review pp. 1-17

Sarim Dawar Khan, Zahra Hoodbhoy, Mohummad Hassan Raza Raja, Jee Young Kim, Henry David Jeffry Hogg, Afshan Anwar Ali Manji, Freya Gulamali, Alifia Hasan, Asim Shaikh, Salma Tajuddin, Nida Saddaf Khan, Manesh R Patel, Suresh Balu, Zainab Samad and Mark P Sendak

A pilot acceptability evaluation of MomMind: A digital health intervention for Peripartum Depression prevention and management focused on health disparities pp. 1-13

Alexandra Zingg, Amy Franklin, Angela Ross and Sahiti Myneni

Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings pp. 1-27

Daniel M Low, Vishwanatha Rao, Gregory Randolph, Phillip C Song and Satrajit S Ghosh

Construction of the Digital Health Equity-Focused Implementation Research Conceptual Model - Bridging the Divide Between Equity-focused Digital Health and Implementation Research pp. 1-21

Lisa L Groom, Antoinette M Schoenthaler, Devin M Mann and Abraham A Brody

Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population pp. 1-23

Naotoshi Nakamura, Yurie Kobashi, Kwang Su Kim, Hyeongki Park, Yuta Tani, Yuzo Shimazu, Tianchen Zhao, Yoshitaka Nishikawa, Fumiya Omata, Moe Kawashima, Makoto Yoshida, Toshiki Abe, Yoshika Saito, Yuki Senoo, Saori Nonaka, Morihito Takita, Chika Yamamoto, Takeshi Kawamura, Akira Sugiyama, Aya Nakayama, Yudai Kaneko, Yong Dam Jeong, Daiki Tatematsu, Marwa Akao, Yoshitaka Sato, Shoya Iwanami, Yasuhisa Fujita, Masatoshi Wakui, Kazuyuki Aihara, Tatsuhiko Kodama, Kenji Shibuya, Shingo Iwami and Masaharu Tsubokura

Addressing the affordability gap of novel cancer treatments in developing countries pp. 1-4

Gavin Miyasato, Chitrang Shah, Todd Gorsuch, Ramnath Venkateswaran, Vamsi Chandra Kasivajjala and Mohit Misra

Outlier analysis for accelerating clinical discovery: An augmented intelligence framework and a systematic review pp. 1-22

Ghayath Janoudi, Mara Uzun (Rada), Deshayne B Fell, Joel G Ray, Angel M Foster, Randy Giffen, Tammy Clifford and Mark C Walker

Volume 3, issue 4, 2024

Implementation of mobile-health technology is associated with five-year survival among individuals in rural areas of Indonesia pp. 1-11

Asri Maharani, Sujarwoto, Devarsetty Praveen, Delvac Oceandy, Gindo Tampubolon and Anushka Patel

Predictive modeling of skin permeability for molecules: Investigating FDA-approved drug permeability with various AI algorithms pp. 1-20

Rami M Abdallah, Hisham E Hasan and Ahmad Hammad

Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study pp. 1-26

Meghan R Hutch, Jiyeon Son, Trang T Le, Chuan Hong, Xuan Wang, Zahra Shakeri Hossein Abad, Michele Morris, Alba Gutiérrez-Sacristán, Jeffrey G Klann, Anastasia Spiridou, Ashley Batugo, Riccardo Bellazzi, Vincent Benoit, Clara-Lea Bonzel, William A Bryant, Lorenzo Chiudinelli, Kelly Cho, Priyam Das, Tomás González González, David A Hanauer, Darren W Henderson, Yuk-Lam Ho, Ne Hooi Will Loh, Adeline Makoudjou, Simran Makwana, Alberto Malovini, Bertrand Moal, Danielle L Mowery, Antoine Neuraz, Malarkodi Jebathilagam Samayamuthu, Fernando J Sanz Vidorreta, Emily R Schriver, Petra Schubert, Jeffery Talbert, Amelia L M Tan, Byorn W L Tan, Bryce W Q Tan, Valentina Tibollo, Patric Tippman, Guillaume Verdy, William Yuan, Paul Avillach, Nils Gehlenborg, Gilbert S Omenn, The Consortium for Clinical Characterization of COVID-19 by EHR (4ce), Shyam Visweswaran, Tianxi Cai, Yuan Luo and Zongqi Xia

Deep learning to predict rapid progression of Alzheimer’s disease from pooled clinical trials: A retrospective study pp. 1-19

Xiaotian Ma, Madison Shyer, Kristofer Harris, Dulin Wang, Yu-Chun Hsu, Christine Farrell, Nathan Goodwin, Sahar Anjum, Avram S Bukhbinder, Sarah Dean, Tanveer Khan, David Hunter, Paul E Schulz, Xiaoqian Jiang and Yejin Kim

Automated reporting of cervical biopsies using artificial intelligence pp. 1-27

Mahnaz Mohammadi, Christina Fell, David Morrison, Sheeba Syed, Prakash Konanahalli, Sarah Bell, Gareth Bryson, Ognjen Arandjelović, David J Harrison and David Harris-Birtill

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact pp. 1-22

Aparna Balagopalan, Ioana Baldini, Leo Anthony Celi, Judy Gichoya, Liam G McCoy, Tristan Naumann, Uri Shalit, Mihaela van der Schaar and Kiri L Wagstaff

Volume 3, issue 3, 2024

Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records pp. 1-16

Maximiliano Mollura, Davide Chicco, Alessia Paglialonga and Riccardo Barbieri

Quantitative evaluation model of variable diagnosis for chest X-ray images using deep learning pp. 1-17

Shota Nakagawa, Naoaki Ono, Yukichika Hakamata, Takashi Ishii, Akira Saito, Shintaro Yanagimoto and Shigehiko Kanaya

Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning pp. 1-17

Seyedmostafa Sheikhalishahi, Mathias Kaspar, Sarra Zaghdoudi, Julia Sander, Philipp Simon, Benjamin P Geisler, Dorothea Lange and Ludwig Christian Hinske

Volume 3, issue 2, 2024

Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic pp. 1-19

Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Maciej Kos, Filippo Privitera, Brennan Lake, Moritz U G Kraemer, John S Brownstein, Richard Gonzalez, David Lazer, Tina Eliassi-Rad, Samuel V Scarpino, Alessandro Vespignani and Matteo Chinazzi

Ethical issues in direct-to-consumer healthcare: A scoping review pp. 1-18

Ashwini Nagappan, Louiza Kalokairinou and Anna Wexler

Use of mHealth in promoting maternal and child health in “BIMARU” states of India “A health system strengthening strategy”: Systematic literature review pp. 1-26

Khushbu Singh and Matthew R Walters

Volume 3, issue 1, 2024

An introduction to digital determinants of health pp. 1-14

Swathikan Chidambaram, Bhav Jain, Urvish Jain, Rogers Mwavu, Rama Baru, Beena Thomas, Felix Greaves, Shruti Jayakumar, Pankaj Jain, Marina Rojo, Marina Ridao Battaglino, John G Meara, Viknesh Sounderajah, Leo Anthony Celi and Ara Darzi

Peer review of GPT-4 technical report and systems card pp. 1-15

Jack Gallifant, Amelia Fiske, Yulia A Levites Strekalova, Juan S Osorio-Valencia, Rachael Parke, Rogers Mwavu, Nicole Martinez, Judy Wawira Gichoya, Marzyeh Ghassemi, Dina Demner-Fushman, Liam G McCoy, Leo Anthony Celi and Robin Pierce

Artificial intelligence in fracture detection with different image modalities and data types: A systematic review and meta-analysis pp. 1-22

Jongyun Jung, Jingyuan Dai, Bowen Liu and Qing Wu