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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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Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study

Ren Zhang, Yi Liu, Zhiwei Zhang, Rui Luo, Bin Lv

JMIR Med Inform 2025;13:e58649

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Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study

Salah Bouktif, Akib Mohi Ud Din Khanday, Ali Ouni

J Med Internet Res 2025;27:e65434

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Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis

Tianyi Wang, Ruiyuan Chen, Ning Fan, Lei Zang, Shuo Yuan, Peng Du, Qichao Wu, Aobo Wang, Jian Li, Xiaochuan Kong, Wenyi Zhu

J Med Internet Res 2024;26:e54676

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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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Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation

Hieu Minh Nguyen, William Anderson, Shih-Hsiung Chou, Andrew McWilliams, Jing Zhao, Nicholas Pajewski, Yhenneko Taylor

JMIR Med Inform 2024;12:e58732

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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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