Machine Learning

Extracting Symptoms of Complex Conditions From Online Discourse (Subreddit to Symptomatology): Lexicon-Based Approach

Bushra Hossain, Sarah M Preum, Md Fazle Rabbi, Rifat Ara, Mohammed Eunus Ali

JMIR Med Inform 2025 (Sep 12); 13:e70940

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Enhancing Oral Health Diagnostics With Hyperspectral Imaging and Computer Vision: Clinical Dataset Study

Paul Römer, Jean-Jacques Ponciano, Katharina Kloster, Fabia Siegberg, Bastian Plaß, Shankeeth Vinayahalingam, Bilal Al-Nawas, Peer W Kämmerer, Thomas Klauer, Daniel Thiem

JMIR Med Inform 2025 (Sep 11); 13:e76148

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Using Wearable Sensors to Measure and Predict Personal Circadian Lighting Exposure in Nursing Home Residents: Model Development and Validation

Shevvaa Beiglary, Yanxiao Feng, Nan Wang, Neda Ghaeili, Ying-Ling Jao, Yo-Jen Liao, Yuxin Li, Julian Wang

JMIR Aging 2025 (Sep 11); 8:e72338

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Identifying Adverse Drug Events in Clinical Text Using Fine-Tuned Clinical Language Models: Machine Learning Study

Elizaveta Kopacheva, Aron Henriksson, Hercules Dalianis, Tora Hammar, Alisa Lincke

JMIR Form Res 2025 (Sep 11); 9:e71949

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Reducing Hallucinations and Trade-Offs in Responses in Generative AI Chatbots for Cancer Information: Development and Evaluation Study

Sota Nishisako, Takahiro Higashi, Fumihiko Wakao

JMIR Cancer 2025 (Sep 11); 11:e70176

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Explainable AI for Depression Detection and Severity Classification From Activity Data: Development and Evaluation Study of an Interpretable Framework

Iftikhar Ahmed, Anushree Brahmacharimayum, Raja Hashim Ali, Talha Ali Khan, Muhammad Ovais Ahmad

JMIR Ment Health 2025 (Sep 11); 12:e72038

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Authors’ Reply to: Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients”

Jose Manuel Ruiz Giardin, Óscar Garnica Alcázar

J Med Internet Res 2025 (Sep 11); 27:e82112

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Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients”

Aymen Boud, Ishraq Hussein

J Med Internet Res 2025 (Sep 11); 27:e81251

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Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study

Johnathan R Lex, Aazad Abbas, Jacob Mosseri, Jay Singh Toor, Michael Simone, Bheeshma Ravi, Cari Whyne, Elias B Khalil

JMIR Med Inform 2025 (Sep 10); 13:e70857

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Biological Age Estimation From the Age Gap Using Deep Learning Integrating Morbidity and Mortality: Model Development and Validation Study

Seong-Eun Moon, Ji Won Yoon, Jae Hyun Bae, Shinyoung Joo, Yoo Hyung Kim, Bon Hyang Lee, Seokho Yoon, Haanju Yoo, Young Min Cho

J Med Internet Res 2025 (Sep 10); 27:e71592

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Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility

Irfan Wahyudi, Chandra Prasetyo Utomo, Samsuridjal Djauzi, Muhamad Fathurahman, Gerhard Reinaldi Situmorang, Arry Rodjani, Putu Angga Risky Raharja, Kevin Yonathan, Budi Santoso, Dwidian Khresna, Marco Raditya

JMIR Res Protoc 2025 (Sep 10); 14:e65811

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Predicting Unplanned Readmission Risk in Patients With Cirrhosis: Complication-Aware Dynamic Classifier Selection Approach

Zixin Shi, Linjun Huang, Xiaomei Xu, Kexue Pu, Qingpeng Zhang, Haolin Wang

JMIR Med Inform 2025 (Sep 10); 13:e63581

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Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review

Mina Attin, Bryar Shareef, Nelson Appiah-Agyei, Farzana Mahamud Rini, Xan Goodman, Lauren Bredesky, Jonathan A Chavez, Rawa Mohammed, Kavita Batra

JMIR Res Protoc 2025 (Sep 09); 14:e69716

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AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study

Feier Song, Huazhang Liu, Huan Ma, Xuanhui Chen, Shouhong Wang, Tiehe Qin, Huiying Liang, Daozheng Huang

JMIR Form Res 2025 (Sep 08); 9:e72482

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Applications of Federated Large Language Model for Adverse Drug Reactions Prediction: Scoping Review

David Guo, Kim-Kwang Raymond Choo

J Med Internet Res 2025 (Sep 08); 27:e68291

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Exploring Named Entity Recognition Potential and the Value of Tailored Natural Language Processing Pipelines for Radiology, Pathology, and Progress Notes in Clinical Decision Support: Quantitative Study

Veysel Kocaman, Fu-Yuan Cheng, Julio Bonis, Ganesh Raut, Prem Timsina, David Talby, Arash Kia

JMIR AI 2025 (Sep 05); 4:e59251

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Identifying Firearm Violence Exposure in Primary Care Clinical Notes: Protocol for Developing a National Language Processing Text Classifier

Natalie Carwright, Frances M Biel, Megan Hoopes, Ali Al Bataineh, Pedro Rivera, Kerry Bet, Nicole Cook

JMIR Res Protoc 2025 (Sep 05); 14:e76681

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Development of a Clinical Clerkship Mentor Using Generative AI and Evaluation of Its Effectiveness in a Medical Student Trial Compared to Student Mentors: 2-Part Comparative Study

Hayato Ebihara, Hajime Kasai, Ikuo Shimizu, Kiyoshi Shikino, Hiroshi Tajima, Yasuhiko Kimura, Shoichi Ito

JMIR Med Educ 2025 (Sep 04); 11:e76702

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Analyzing Health Care Professionals’ Resilience and Emotional Responses to COVID-19 via Twitter: Retrospective Cohort and Matched Comparison Group Study

Noa Tal, Idan-Chaim Cohen, Aviad Elyashar, Nir Grinberg, Rami Puzis, Odeya Cohen

J Med Internet Res 2025 (Sep 03); 27:e72521

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Interpretable Artificial Intelligence Analysis of Functional Magnetic Resonance Imaging for Migraine Classification: Quantitative Study

Guohao Li, Hao Yang, Li He, Guojun Zeng

JMIR Med Inform 2025 (Sep 03); 13:e72155

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