SAP Artificial Intelligence in Dentistry
2025 - 2027
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2027
- Adversarial robustness of dental panoramic radiograph classifiers against gradient-based perturbations

- Wenya Long, Teng He and Yingjuan Xie
2026
- Accuracy, completeness and readability of large language model chatbots answering dental patient questions: a systematic review

- Ernesto Learsys Campello Trujillo, Ernestocampello@infomed.sld.cu, Lourdes Hernandez Cuetara, Luly@infomed.sld.cu, Yivelin Fernandez Queija and Yivelin@infomed.sld.cu
- Artificial intelligence in oral microbiome and dental genomics research: an evidence matrix review

- Ana María Chaves Cano and Anamacano25@gmail.com
- Generative artificial intelligence in dentistry: a bibliometric analysis

- Cristina Valeria Zambrano-Olvera and Rosaria Perez-Rizzo
- Learning curves in transfer-learning dental radiograph classification with pre-trained and random features

- Verónica Karina Arias Murillo, Melissa Castillo Jimenez and Melissacj981223@gmail.com
- Robotic dentistry and autonomous implant placement: an evolutionary review from computer-assisted surgery to artificial intelligence

- Nelly Méndez Hernández, Carmen Graciela González, Marcelo Alejandro Enriquez Hernández and María Elena Aguilera Eguía
- Electrical shock as the predominant adverse event in reports of intraoral scanners and computer-aided design and manufacturing dental devices

- Omar Patricio Infante Miranda, María Esperanza Freire Muñoz and Mario Javier Rodríguez Cobeña
- Genetic architecture of dental traits: mapping and pathway enrichment of genome-wide associations

- Nairobi Hernández Bridon and Nairobi25hb@gmail.com
- Artificial intelligence in implant dentistry and prosthodontics: a bibliometric analysis

- Greta Cordovi Vallongo, Gretacordovi@gmail.com and Youris Samón Mayan
- Artificial intelligence in dentistry: clinical applications, ethical challenges and future perspectives

- Isis Scarleth Funes Galindo, Carlos Daniel Echazú Torres, Leonel Rivero Castedo, Jaykel Evelio Gómez Triana, Fidel Aguilar Medrano, Jose Daniel Vargas-Jimenez, Blas Apaza-Huanca, Jhossmar Cristians Auza-Santivañez, Freddy Ednildon Bautista-Vanegas and Yenny Cruz Nuñez
- Diagnostic accuracy of artificial intelligence for detecting oral cancer and potentially malignant disorders on clinical photographs

- Sandra Ivette López Romo, Olga Peña Silva and Luis Fabián Enríquez Jácome
- Disparidades lingüísticas en el rendimiento de un modelo de lenguaje grande en preguntas dentales en siete idiomas

- Maikro Osvaldo Chávez Moya, Maikroilv@gmail.com, Leodanis Hernández Cabrera, Leodanishernandezcabrera1@gmail.com, Neisy Pérez Ramos and Neisyperezramos@gmail.com
- Faithfulness of saliency explanations in a deep learning classifier for panoramic dental radiographs

- Teng He, Wenya Long and Yingjuan Xie
- Growth, design, size and completion of registered clinical trials of artificial intelligence in dentistry

- Leonardo Nunes, Paulo Barbosa and Leonardo Araújo
- Membership inference vulnerability and the mitigating influence of regularization and differential privacy in dental radiograph classifiers

- Teng He, Wenya Long and Yingjuan Xie
- Transcriptomic features add little to staging for oral cavity squamous cell carcinoma prognosis

- Arlin Castro Diaz, Arlincastrodiaz02@gmail.com, Rigel Ramirez Fritze and Rigelramirezf1021@gmail.com
- Diagnostic accuracy of artificial intelligence for detecting dental caries in camera and smartphone photographs

- Natalia Rincón Gómez, Rolando Andrés Figueroa Andrade and Diana Vélez Santana
- Reproducibility of open-source software for dental artificial intelligence

- Flor M Escalante Freitez, Drflorescalante@gmail.com, Roberto Antonio Vega Bonilla and Diana Belkis Moreno Benítez
- Sensitivity and calibration disparities of a race-blind machine learning model for periodontitis across racial and ethnic groups

- Maria Fernanda Escalante Freitez and Mafefreitez@gmail.com
- Documentation completeness and demographic representativeness of public dental imaging datasets: a cross-sectional analysis of repository metadata

- Diana Belkis Moreno Benítez, Roberto Antonio Vega Bonilla, Flor M Escalante Freitez and Drflorescalante@gmail.com
- Evaluation of the accuracy and robustness of large language models in dental examinations: sensitivity analysis of question format and evaluation parameters

- Andrea Atassi, Shachar Stewart, Carrie Brackenridge and Eliza Kamin
- Federated learning for patient data privacy in dental artificial intelligence

- Ana Rodríguez Yanes and Anarodriguez@infomed.sld.cu
- Explainable artificial intelligence and clinician trust in dentistry: a contested claim

- Ayu Hidayat and Sari Nasution
- Untreated dental caries in children and adolescents: a cross-sectional analysis of sociodemographic correlates and an explainable machine-learning model

- Rigel Ramirez Fritze and Rigelramirezf1021@gmail.com
- A framework for natural language processing of electronic dental records

- Leodanis Hernández Cabrera, Leodanishernandezcabrera1@gmail.com, Maikro Osvaldo Chávez Moya, Maikroilv@gmail.com, Neisy Pérez Ramos and Neisyperezramos@gmail.com
- Edge computing, Internet of Things and cybersecurity in the deployment of dental artificial intelligence

- Diana Anselmo and Stacey Estefan
- Accuracy of artificial intelligence for dental age and sex estimation from panoramic radiographs: a systematic review

- Zuzel Salazar Duany, Tamara Torres Fernández, Yoandra Muro Valle, Jaquelin Virginia Junco Arevalo and Jhossmar Cristians Auza-Santivañez
- Diagnostic accuracy of deep learning for detecting periapical lesions on radiographs and cone-beam computed tomography: a systematic review

- Sandra Ivette López Romo, Olga Peña Silva and Luis Fabián Enríquez Jácome
2025
- Deep learning segmentation of the mandibular canal on cone-beam computed tomography: a systematic review

- Greta Cordovi Vallongo, Gretacordovi@gmail.com and Youris Samón Mayan
- Privación y baja actividad dental persistente del Servicio Nacional de Salud en los distritos de Inglaterra

- Jane E Wainwright and Jewainwright3@gmail.com
- Generative artificial intelligence for synthetic dental data: opportunities, privacy, and validation

- Nairobi Hernández Bridon and Nairobi25hb@gmail.com
- Health economic evaluation of artificial intelligence in dentistry

- Rolando Eslava Zapata, Rolandoa.eslavaz@unilibre.edu.co, Rómulo Esteban Montilla, Rmontilla@stmarytx.edu, Edixon Chacón Guerrero and Echaconguerrer@stmarytx.edu
- Artificial intelligence for oral health in low- and middle-income countries: mobile health, teledentistry, and frugal innovation

- Ana María Chaves Cano and Anamacano25@gmail.com
- Machine learning models for dental caries risk prediction: a systematic review with risk-of-bias appraisal

- Yivelin Fernandez Queija, Yivelin@infomed.sld.cu, Ernesto Learsys Campello Trujillo, Ernestocampello@infomed.sld.cu, Lourdes Hernandez Cuetara and Luly@infomed.sld.cu
- Geographic and gender diversity in dental artificial-intelligence research authorship: a bibliometric analysis

- Zuzel Salazar Duany, Tamara Torres Fernández, Yoandra Muro Valle, Jaquelin Virginia Junco Arevalo and Jhossmar Cristians Auza-Santivañez
- Inteligencia artificial para el cribado de osteoporosis en radiografías panorámicas dentales: una revisión sistemática

- Neisy Pérez Ramos and Neisyperezramos@gmail.com
- Energy and carbon cost of training dental image classifiers: how model size affects efficiency

- Leodanis Hernández Cabrera, Leodanishernandezcabrera1@gmail.com, Maikro Osvaldo Chávez Moya, Maikroilv@gmail.com, Neisy Pérez Ramos and Neisyperezramos@gmail.com
- Un marco de adherencia de reporte para estudios odontológicos de inteligencia artificial: un análisis automatizado de minería de texto

- Ana Rodríguez Yanes and Anarodriguez@infomed.sld.cu
- Artificial intelligence in implant dentistry: diagnostic performance, prediction, and design optimization

- Jadier Wong Silva and Maria Isabel Brusca
- Clearance pathways and intended uses of FDA-authorized artificial intelligence devices in dentistry, 2018-2025

- Rigel Ramirez Fritze and Rigelramirezf1021@gmail.com
- Predictive performance of gradient boosting, random forest, and logistic regression for periodontitis in adults in the United States

- Maria Fernanda Escalante Freitez and Mafefreitez@gmail.com
- Do patients consent to the use of their panoramic radiographs for AI training? Ethical and clinical implications in dentistry

- Youris Samón Mayán, Ana Rodríguez Yanes, Yivelin Fernández Queija, Lourdes Hernández Cuétara and Arlin Castro Diaz
- Artificial intelligence integrated with CAD/CAM for automated design of dental restorations

- Rigel Ramirez Fritze, Rigelramirezf1021@gmail.com, Arlin Castro Diaz and Arlincastrodiaz02@gmail.com
- Artificial intelligence in dental education: applications, evidence and curricular challenges

- Maylon Felix Guerra Reyes, Guerramaylon6@gmail.com, Ernesto Learsys Campello Trujillo and Ernestocampello@infomed.sld.cu
- How is artificial intelligence implemented in dentistry, and what are its applications, performance, and benefits compared to traditional methods in recent studies?

- Rohan Sharma, Dewi Lestari, Ahmad Rizky Pratama and Arjun Patel
- Ethics, bias and regulation of artificial intelligence in dentistry

- Youris Samón Mayan and Marta María Capote Fernández
- Deep learning for tooth segmentation in cone-beam computed tomography: a systematic review

- Maria Fernanda Escalante Freitez and Mafefreitez@gmail.com
- Critical and Structured Analysis of AI Development in Dentistry

- Marta González Herrera, Jany Murguia Martínez and Felipe Andrade Santos
- Social determinants and machine learning prediction of complete tooth loss in older adults across United States counties

- Rómulo Esteban Montilla, Rmontilla@stmarytx.edu, Rolando Eslava Zapata, Rolandoa.eslavaz@unilibre.edu.co, Edixon Chacón Guerrero and Echaconguerrer@stmarytx.edu
- Robustness of a deep-learning dental radiograph classifier to compression and resolution loss for teledentistry

- Nairobi Hernández Bridon and Nairobi25hb@gmail.com
- A gene expression signature for periodontitis and its cross-cohort validation in public transcriptomic datasets

- Flor M Escalante Freitez and Drflorescalante@gmail.com
- Accuracy of automated cephalometric landmark detection with artificial intelligence: a systematic review

- Melissa Castillo Jimenez, Melissacj981223@gmail.com, Maylon Felix Guerra Reyes and Guerramaylon6@gmail.com
- Artificial intelligence for dental diagnosis and decision support in Latin America

- Jadier Wong Silva, Arian González Cruz and Jhossmar Cristians Auza Santiváñez
- Diagnostic accuracy of artificial intelligence for detecting periodontal bone loss on dental radiographs: a systematic review

- Arlin Castro Diaz and Arlincastrodiaz02@gmail.com
- Diagnostic accuracy of deep learning for detecting dental caries on bitewing and periapical radiographs: a systematic review

- Greta Cordovi Vallongo and Marta María Capote Fernández
- Artificial Intelligence in Dentistry: Toward a New Architecture of Clinical Knowledge

- Thalia Garcia Contino
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