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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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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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Decoding the Digital Pulse: Bibliometric Analysis of 25 Years in Digital Health Research Through the Journal of Medical Internet Research

Robert Kaczmarczyk, Theresa Isabelle Wilhelm, Jonas Roos, Ron Martin

J Med Internet Res 2024;26:e60057

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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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Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

Marieke Meija van Buchem, Ilse M J Kant, Liza King, Jacqueline Kazmaier, Ewout W Steyerberg, Martijn P Bauer

JMIR AI 2024;3:e60020

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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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Obtaining the Most Accurate, Explainable Model for Predicting Chronic Obstructive Pulmonary Disease: Triangulation of Multiple Linear Regression and Machine Learning Methods

Arnold Kamis, Nidhi Gadia, Zilin Luo, Shu Xin Ng, Mansi Thumbar

JMIR AI 2024;3:e58455

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