PLOS Digital Health

2022 - 2025

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Volume 2, issue 12, 2023

The epidemiological impact of digital and manual contact tracing on the SARS-CoV-2 epidemic in the Netherlands: Empirical evidence pp. 1-17

Wianne Ter Haar, Jizzo Bosdriesz, Roderick P Venekamp, Ewoud Schuit, Susan van den Hof, Wolfgang Ebbers, Mirjam Kretzschmar, Jan Kluijtmans, Carl Moons, Maarten Schim van der Loeff, Amy Matser and Janneke H H M van de Wijgert

The effects of weather and mobility on respiratory viruses dynamics before and during the COVID-19 pandemic in the USA and Canada pp. 1-26

Irma Varela-Lasheras, Lilia Perfeito, Sara Mesquita and Joana Gonçalves-Sá

AI-based approach for transcribing and classifying unstructured emergency call data: A methodological proposal pp. 1-12

Dalton Breno Costa, Felipe Coelho de Abreu Pinna, Anjni Patel Joiner, Brian Rice, João Vítor Perez de Souza, Júlia Loverde Gabella, Luciano Andrade, João Ricardo Nickenig Vissoci and João Carlos Néto

Machine learning to predict mortality for aneurysmal subarachnoid hemorrhage (aSAH) using a large nationwide EHR database pp. 1-10

Gen Zhu, Anthony Yuan, Duo Yu, Alicia Zha and Hulin Wu

Volume 2, issue 11, 2023

A Framework for Digital Health Policy: Insights from Virtual Primary Care Systems Across Five Nations pp. 1-13

Divya Srivastava, Robin Van Kessel, Marine Delgrange, Avi Cherla, Harpreet Sood and Elias Mossialos

Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits pp. 1-17

Ghadeer O Ghosheh, Terrence Lee St John, Pengyu Wang, Vee Nis Ling, Lelan R Orquiola, Nasir Hayat, Farah E Shamout and Y Zaki Almallah

Digital determinants of health: Editorial pp. 1-4

Hamish S Fraser, Alvin Marcelo, Mahima Kalla, Khumbo Kalua, Leo A Celi and Jennifer Ziegler

Assessing a digital technology-supported community child health programme in India using the Social Return on Investment framework pp. 1-14

Manasi Patil, Athar Qureshi, Elina Naydenova, Anand Bang, Jay Halbert, Maarten De Vos, Poornima Nair, Madhumita Patil and Melissa M Medvedev

Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection pp. 1-15

Varesh Prasad, Baturay Aydemir, Iain E Kehoe, Chaya Kotturesh, Abigail O’Connell, Brett Biebelberg, Yang Wang, James C Lynch, Jeremy A Pepino, Michael R Filbin, Thomas Heldt and Andrew T Reisner

Developing a patient flow visualization and prediction model using aggregated data for a healthcare network cluster in Southwest Ethiopia pp. 1-15

Balew Ayalew Kassie and Geletaw Sahle Tegenaw

Fairness as an afterthought: An American perspective on fairness in model developer-clinician user collaborations pp. 1-15

John Banja, Judy Wawira Gichoya, Nicole Martinez-Martin, Lance A Waller and Gari D Clifford

Exploring factors affecting the adoption and continuance usage of drone in healthcare: The role of the environment pp. 1-23

John Serbe Marfo, Kwadwo Kyeremeh, Pasty Asamoah, Matilda Kokui Owusu-Bio and Afia Frimpomaa Asare Marfo

Volume 2, issue 10, 2023

An experimental machine learning study investigating the decision-making process of students and qualified radiographers when interpreting radiographic images pp. 1-14

Clare Rainey, Angelina T Villikudathil, Jonathan McConnell, Ciara Hughes, Raymond Bond and Sonyia McFadden

A standardised differential privacy framework for epidemiological modeling with mobile phone data pp. 1-15

Merveille Koissi Savi, Akash Yadav, Wanrong Zhang, Navin Vembar, Andrew Schroeder, Satchit Balsari, Caroline O Buckee, Salil Vadhan and Nishant Kishore

Recognizing hand use and hand role at home after stroke from egocentric video pp. 1-23

Meng-Fen Tsai, Rosalie H Wang and José Zariffa

Digital Determinants of Health: Health data poverty amplifies existing health disparities—A scoping review pp. 1-16

Kenneth Eugene Paik, Rachel Hicklen, Fred Kaggwa, Corinna Victoria Puyat, Luis Filipe Nakayama, Bradley Ashley Ong, Jeremey N I Shropshire and Cleva Villanueva

Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study pp. 1-16

Fabian Borst, Monika Reuss-Borst, Johannes Boschmann and Peter Schwarz

Healthcare provider-targeted mobile applications to diagnose, screen, or monitor communicable diseases of public health importance in low- and middle-income countries: A systematic review pp. 1-17

Pascal Geldsetzer, Sergio Flores, Blanca Flores, Abu Bakarr Rogers and Andrew Y Chang

Strategies and solutions to address Digital Determinants of Health (DDOH) across underinvested communities pp. 1-17

Casey Holmes Fee, Rachel Scarlett Hicklen, Sidney Jean, Nebal Abu Hussein, Lama Moukheiber, Michelle Foronda de Lota, Mira Moukheiber, Dana Moukheiber, Leo Anthony Celi and Irene Dankwa-Mullan

Machine learning modeling for identifying predictors of unmet need for family planning among married/in-union women in Ethiopia: Evidence from performance monitoring and accountability (PMA) survey 2019 dataset pp. 1-17

Shimels Derso Kebede, Daniel Niguse Mamo, Jibril Bashir Adem, Birhan Ewunu Semagn and Agmasie Damtew Walle

Artificial intelligence with temporal features outperforms machine learning in predicting diabetes pp. 1-17

Iqra Naveed, Muhammad Farhat Kaleem, Karim Keshavjee and Aziz Guergachi

The NeoRoo mobile app: Initial design and prototyping of an Android-based digital health tool to support Kangaroo Mother Care in low/middle-income countries (LMICs) pp. 1-25

Sherri Lynn Bucher, Allison Young, Madison Dolan, Geetha Priya Padmanaban, Khushboo Chandnani and Saptarshi Purkayastha

Centering health equity in large language model deployment pp. 1-5

Nina Singh, Katharine Lawrence, Safiya Richardson and Devin M Mann

Volume 2, issue 9, 2023

Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting pp. 1-18

Gordon Ward Fuller, Madina Hasan, Peter Hodkinson, David McAlpine, Steve Goodacre, Peter A Bath, Laura Sbaffi, Yasein Omer, Lee Wallis and Carl Marincowitz

A population-based study exploring phenotypic clusters and clinical outcomes in stroke using unsupervised machine learning approach pp. 1-16

Ralph K Akyea, George Ntaios, Evangelos Kontopantelis, Georgios Georgiopoulos, Daniele Soria, Folkert W Asselbergs, Joe Kai, Stephen F Weng and Nadeem Qureshi

Evidence for an adverse impact of remote readouts on radiology resident productivity: Implications for training and clinical practice pp. 1-14

Emile B Gordon, Peter Wingrove, Barton F Branstetter Iv and Marion A Hughes

Reliability of gamified reinforcement learning in densely sampled longitudinal assessments pp. 1-21

Monja P Neuser, Anne Kühnel, Franziska Kräutlein, Vanessa Teckentrup, Jennifer Svaldi and Nils B Kroemer

Machine learning prediction of the total duration of invasive and non-invasive ventilation During ICU Stay pp. 1-11

Emma Schwager, Xinggang Liu, Mohsen Nabian, Ting Feng, Robin MacDonald French, Pam Amelung, Louis Atallah and Omar Badawi

Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022 pp. 1-22

Matthew A Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick A Perez Alday, Nadi Sadr, Ashish Sharma, Jacques Kpodonu, Sandra Mattos, Miguel T Coimbra, Reza Sameni, Ali Bahrami Rad and Gari D Clifford

Volume 2, issue 8, 2023

MapperPlus: Agnostic clustering of high-dimension data for precision medicine pp. 1-16

Esha Datta, Aditya Ballal, Javier E López and Leighton T Izu

Validation of a tool for estimating clinician recognition of ARDS using data from the international LUNG SAFE study pp. 1-14

Meagan A Bechel, Fabiana Madotto, Adam R Pah, Giacomo Bellani, John G Laffey, Tài Pham, Luís A Nunes Amaral and Curtis H Weiss

Virtual care use among older immigrant adults in Ontario, Canada during the COVID-19 pandemic: A repeated cross-sectional analysis pp. 1-15

Janette Brual, Cherry Chu, Jiming Fang, Cathleen Fleury, Vess Stamenova, Onil Bhattacharyya and Mina Tadrous

Unlock digital health promotion in LMICs to benefit the youth pp. 1-17

Agata Ferretti, Effy Vayena and Alessandro Blasimme

Volume 2, issue 7, 2023

EEG classification of traumatic brain injury and stroke from a nonspecific population using neural networks pp. 1-22

Michael Caiola, Avaneesh Babu and Meijun Ye

Disparities in mobile phone ownership reflect inequities in access to healthcare pp. 1-16

Alexandre Blake, Ashley Hazel, John Jakurama, Justy Matundu and Nita Bharti

Analysis of lung cancer risk factors from medical records in Ethiopia using machine learning pp. 1-16

Demeke Endalie and Wondmagegn Taye Abebe

The potential use of non-fungible tokens (NFTs) in healthcare and medical research pp. 1-5

Antonio Yaghy, Nicole Rose I Alberto, Isabelle Rose I Alberto, Rene S Bermea, Ljubica Ristovska, Maria Yaghy, Sandra Hoyek, Nimesh A Patel and Leo Anthony Celi

A comprehensive wireless neurological and cardiopulmonary monitoring platform for pediatrics pp. 1-19

Jeremy N Wong, Jessica R Walter, Erin C Conrad, Dhruv R Seshadri, Jong Yoon Lee, Husein Gonzalez, William Reuther, Sue J Hong, Nicolò Pini, Lauren Marsillio, Khrystyna Moskalyk, Mariana Vicenteno, Erik Padilla, Olivia Gann, Ha Uk Chung, Dennis Ryu, Carlie du Plessis, Hein J Odendaal, William P Fifer, Joyce Y Wu and Shuai Xu

Volume 2, issue 6, 2023

Healthcare inequity and digital health–A bridge for the divide, or further erosion of the chasm? pp. 1-5

Yacine Hadjiat

Using medicare claims to estimate risk-adjusted performance of Pennsylvania trauma centers pp. 1-11

Alexis M Zebrowski, Phillipe Loher, David G Buckler, Isidore Rigoutsos, Brendan G Carr and Douglas J Wiebe

Increasing efficiency of SVMp+ for handling missing values in healthcare prediction pp. 1-17

Yufeng Zhang, Zijun Gao, Emily Wittrup, Jonathan Gryak and Kayvan Najarian

Can the application of machine learning to electronic health records guide antibiotic prescribing decisions for suspected urinary tract infection in the Emergency Department? pp. 1-16

Patrick Rockenschaub, Martin J Gill, Dave McNulty, Orlagh Carroll, Nick Freemantle and Laura Shallcross

Classification of blood pressure during sleep impacts designation of nocturnal nondipping pp. 1-16

Bobak J Mortazavi, Josefa L Martinez-Brockman, Baylah Tessier-Sherman, Matthew Burg, Mary Miller, Zhale Nowroozilarki, O Peter Adams, Rohan Maharaj, Cruz M Nazario, Maxine Nunez, Marcella Nunez-Smith and Erica S Spatz

Community perspectives on AI/ML and health equity: AIM-AHEAD nationwide stakeholder listening sessions pp. 1-18

Jamboor K Vishwanatha, Allison Christian, Usha Sambamoorthi, Erika L Thompson, Katie Stinson and Toufeeq Ahmed Syed

Predicting HIV infection in the decade (2005–2015) pre-COVID-19 in Zimbabwe: A supervised classification-based machine learning approach pp. 1-20

Rutendo Beauty Birri Makota and Eustasius Musenge

The Role of Aesthetics in Intentions to Use Digital Health Interventions pp. 1-19

James L Denison-Day, Sarah Muir, Ciaran Newell and Katherine M Appleton

AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning pp. 1-21

Fergus Imrie, Bogdan Cebere, Eoin F McKinney and Mihaela van der Schaar

Bias in artificial intelligence algorithms and recommendations for mitigation pp. 1-14

Lama H Nazer, Razan Zatarah, Shai Waldrip, Janny Xue Chen Ke, Mira Moukheiber, Ashish K Khanna, Rachel S Hicklen, Lama Moukheiber, Dana Moukheiber, Haobo Ma and Piyush Mathur

Volume 2, issue 5, 2023

Diverse patients’ attitudes towards Artificial Intelligence (AI) in diagnosis pp. 1-16

Christopher Robertson, Andrew Woods, Kelly Bergstrand, Jess Findley, Cayley Balser and Marvin J Slepian

Factors associated with use of wearable technology to support activity, well-being, or a healthy lifestyle in the adult population and among older adults pp. 1-16

Maiju Kyytsönen, Tuulikki Vehko, Heidi Anttila and Jonna Ikonen

Work unit level personnel working hours and the patients’ length of in-hospital stay–An administrative data approach pp. 1-11

Oxana Krutova, Jenni Ervasti, Marianna Virtanen, Laura Peutere, Mikko Härmä and Annina Ropponen

Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions pp. 1-17

Katja Hoffmann, Anne Pelz, Elena Karg, Andrea Gottschalk, Thomas Zerjatke, Silvio Schuster, Heiko Böhme, Ingmar Glauche and Ingo Roeder

Using the app “Injurymap” to provide exercise rehabilitation for people with acute lateral ankle sprains seen at the Hospital Emergency Department–A mixed-method pilot study pp. 1-21

Jonas Bak, Kristian Thorborg, Mikkel Bek Clausen, Finn Elkjær Johannsen, Jeanette Wassar Kirk and Thomas Bandholm

Volume 2, issue 4, 2023

A profile of patients’ and doctors’ perceptions, acceptance, and utilization of e-health in a deprived region in southwestern China pp. 1-20

Xuechen Xiong, Li Luo, Shuai Zhou, Victor Jing Li, Yinan Zhou and Zhaohua Huo

Equity should be fundamental to the emergence of innovation pp. 1-5

Jack Gallifant, Luis Filipe Nakayama, Judy Wawira Gichoya, Robin Pierce and Leo Anthony Celi

Volume 2, issue 3, 2023

Explainable AI identifies diagnostic cells of genetic AML subtypes pp. 1-17

Matthias Hehr, Ario Sadafi, Christian Matek, Peter Lienemann, Christian Pohlkamp, Torsten Haferlach, Karsten Spiekermann and Carsten Marr

Moving beyond algorithmic accuracy to improving user interaction with clinical AI pp. 1-3

Shlomo Berkovsky and Enrico Coiera

Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care pp. 1-26

Suraj Rajendran, Zhenxing Xu, Weishen Pan, Arnab Ghosh and Fei Wang

Knowledge of Australia’s My Health Record and factors associated with opting out: Results from a national survey of the Australian general population and communities affected by HIV and sexually transmissible infections pp. 1-16

Martin Holt, James MacGibbon, Anthony K J Smith, Timothy R Broady, Mark D M Davis and Christy E Newman

Modelling and classifying joint trajectories of self-reported mood and pain in a large cohort study pp. 1-16

Rajenki Das, Mark Muldoon, Mark Lunt, John McBeth, Belay Birlie Yimer and Thomas House

Proactive Contact Tracing pp. 1-19

Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Nanor Minoyan, Soren Harnois-Leblanc, Joanna Merckx, Andrew Williams, Victor Schmidt, Pierre-Luc St-Charles, Akshay Patel, Yang Zhang, David L Buckeridge, Christopher Pal, Bernhard Schölkopf and Yoshua Bengio

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge pp. 1-19

Solveig K Sieberts, Henryk Borzymowski, Yuanfang Guan, Yidi Huang, Ayala Matzner, Alex Page, Izhar Bar-Gad, Brett Beaulieu-Jones, Yuval El-Hanani, Jann Goschenhofer, Monica Javidnia, Mark S Keller, Yan-chak Li, Mohammed Saqib, Greta Smith, Ana Stanescu, Charles S Venuto, Robert Zielinski, the BEAT-PD DREAM Challenge Consortium, Arun Jayaraman, Luc J W Evers, Luca Foschini, Alex Mariakakis, Gaurav Pandey, Nicholas Shawen, Phil Synder and Larsson Omberg

Volume 2, issue 2, 2023

Multicenter automatic detection of invasive carcinoma on breast whole slide images pp. 1-13

Rémy Peyret, Nicolas Pozin, Stéphane Sockeel, Solène-Florence Kammerer-Jacquet, Julien Adam, Claire Bocciarelli, Yoan Ditchi, Christophe Bontoux, Thomas Depoilly, Loris Guichard, Elisabeth Lanteri, Marie Sockeel and Sophie Prévot

Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers pp. 1-17

Akos Rudas, Jeffrey N Chiang, Giulia Corradetti, Nadav Rakocz, Oren Avram, Eran Halperin and Srinivas R Sadda

Application of ARIMA, and hybrid ARIMA Models in predicting and forecasting tuberculosis incidences among children in Homa Bay and Turkana Counties, Kenya pp. 1-19

Stephen Siamba, Argwings Otieno and Julius Koech

From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning pp. 1-15

Zhi Da Soh, Yixing Jiang, Sakthi Selvam S/O Ganesan, Menghan Zhou, Monisha Nongiur, Shivani Majithia, Yih Chung Tham, Tyler Hyungtaek Rim, Chaoxu Qian, Victor Koh, Tin Aung, Tien Yin Wong, Xinxing Xu, Yong Liu and Ching-Yu Cheng

Improving web-based respondent-driven sampling performance among men who have sex with men in the Netherlands pp. 1-14

Sophie Diexer, Alexandra Teslya, Vincent Buskens, Amy Matser, Mart Stein and Mirjam E Kretzschmar

Volume 2, issue 1, 2023

Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging pp. 1-19

Vasileios Nittas, Paola Daniore, Constantin Landers, Felix Gille, Julia Amann, Shannon Hubbs, Milo Alan Puhan, Effy Vayena and Alessandro Blasimme

Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis pp. 1-12

Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Hajime Nagahara and Ryo Kawasaki

ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries pp. 1-17

Rainer Tan, Ludovico Cobuccio, Fenella Beynon, Gillian A Levine, Nina Vaezipour, Lameck Bonaventure Luwanda, Chacha Mangu, Alan Vonlanthen, Olga De Santis, Nahya Salim, Karim Manji, Helga Naburi, Lulu Chirande, Lena Matata, Method Bulongeleje, Robert Moshiro, Andolo Miheso, Peter Arimi, Ousmane Ndiaye, Moctar Faye, Aliou Thiongane, Shally Awasthi, Kovid Sharma, Gaurav Kumar, Josephine Van De Maat, Alexandra Kulinkina, Victor Rwandarwacu, Théophile Dusengumuremyi, John Baptist Nkuranga, Emmanuel Rusingiza, Lisine Tuyisenge, Mary-Anne Hartley, Vincent Faivre, Julien Thabard, Kristina Keitel and Valérie D’Acremont

Synthetic data in health care: A narrative review pp. 1-16

Aldren Gonzales, Guruprabha Guruswamy and Scott R Smith

Wearable sensor-based performance status assessment in cancer: A pilot multicenter study from the Alliance for Clinical Trials in Oncology (A19_Pilot2) pp. 1-16

William A Wood, Deepika Dilip, Andriy Derkach, Natalie S Grover, Olivier Elemento, Ross Levine, Gita Thanarajasingam, John A Batsis, Charlotte Bailey, Arun Kannappan, Steven M Devine, Andrew S Artz, Jennifer A Ligibel, Ethan Basch, Erin Kent and Jacob Glass