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Impact of Clinical Decision Support Systems on Medical Students’ Case-Solving Performance: Comparison Study with a Focus Group

Marco Montagna, Filippo Chiabrando, Rebecca De Lorenzo, Patrizia Rovere Querini, Medical Students

JMIR Med Educ 2025;11:e55709

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Deep Learning Models to Predict Diagnostic and Billing Codes Following Visits to a Family Medicine Practice: Development and Validation Study

Akshay Rajaram, Michael Judd, David Barber

JMIR AI 2025;4:e64279

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Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

Adriane Uihlein, Lisa Beissel, Anna Hanane Ajlani, Marcin Orzechowski, Christoph Leinert, Thomas Derya Kocar, Carlos Pankratz, Konrad Schuetze, Florian Gebhard, Florian Steger, Marina Liselotte Fotteler, Michael Denkinger

JMIR Aging 2024;7:e57899

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Developing Independent Living Support for Older Adults Using Internet of Things and AI-Based Systems: Co-Design Study

Claire M Timon, Emma Heffernan, Sophia Kilcullen, Louise Hopper, Hyowon Lee, Pamela Gallagher, Alan F Smeaton, Kieran Moran, Pamela Hussey, Catriona Murphy

JMIR Aging 2024;7:e54210

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Machine Learning–Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation

Joshua Kuan Tan, Le Quan, Nur Nasyitah Mohamed Salim, Jen Hong Tan, Su-Yen Goh, Julian Thumboo, Yong Mong Bee

JMIR AI 2024;3:e58463

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A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET–Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study

Ali Janbain, Andrea Farolfi, Armelle Guenegou-Arnoux, Louis Romengas, Sophia Scharl, Stefano Fanti, Francesca Serani, Jan C Peeken, Sandrine Katsahian, Iosif Strouthos, Konstantinos Ferentinos, Stefan A Koerber, Marco E Vogel, Stephanie E Combs, Alexis Vrachimis, Alessio Giuseppe Morganti, Simon KB Spohn, Anca-Ligia Grosu, Francesco Ceci, Christoph Henkenberens, Stephanie GC Kroeze, Matthias Guckenberger, Claus Belka, Peter Bartenstein, George Hruby, Louise Emmett, Ali Afshar Omerieh, Nina-Sophie Schmidt-Hegemann, Lucas Mose, Daniel M Aebersold, Constantinos Zamboglou, Thomas Wiegel, Mohamed Shelan

JMIR Cancer 2024;10:e60323

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Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study

Varsha D Badal, Jenna M Reinen, Elizabeth W Twamley, Ellen E Lee, Robert P Fellows, Erhan Bilal, Colin A Depp

JMIR Aging 2024;7:e54655

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Early Diagnosis of Hereditary Angioedema in Japan Based on a US Medical Dataset: Algorithm Development and Validation

Kouhei Yamashita, Yuji Nomoto, Tomoya Hirose, Akira Yutani, Akira Okada, Nayu Watanabe, Ken Suzuki, Munenori Senzaki, Tomohiro Kuroda

JMIR Med Inform 2024;12:e59858

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Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa

Lauren Gawey, Caitlyn B Dagenet, Khiem A Tran, Sarah Park, Jennifer L Hsiao, Vivian Shi

JMIR Dermatol 2024;7:e55204

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Use of Deep Neural Networks to Predict Obesity With Short Audio Recordings: Development and Usability Study

Jingyi Huang, Peiqi Guo, Sheng Zhang, Mengmeng Ji, Ruopeng An

JMIR AI 2024;3:e54885

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