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An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study

Anthony Kelly, Esben Kjems Jensen, Eoin Martino Grua, Kim Mathiasen, Pepijn Van de Ven

JMIR Med Inform 2025;13:e64617

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Explainable AI for Intraoperative Motor-Evoked Potential Muscle Classification in Neurosurgery: Bicentric Retrospective Study

Qendresa Parduzi, Jonathan Wermelinger, Simon Domingo Koller, Murat Sariyar, Ulf Schneider, Andreas Raabe, Kathleen Seidel

J Med Internet Res 2025;27:e63937

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Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

J Med Internet Res 2025;27:e58021

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Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review

Dipak Gautam, Philipp Kellmeyer

JMIR Res Protoc 2025;14:e62865

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A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study

Hongbo Chen, Eldan Cohen, Dulaney Wilson, Myrtede Alfred

JMIR Hum Factors 2024;11:e53378

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The Role of Artificial Intelligence Model Documentation in Translational Science: Scoping Review

Tracey A Brereton, Momin M Malik, Mark Lifson, Jason D Greenwood, Kevin J Peterson, Shauna M Overgaard

Interact J Med Res 2023;12:e45903

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Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning–Driven Clinical Decision Support Tool

Georgios C Manikis, Nicholas J Simos, Konstantina Kourou, Haridimos Kondylakis, Paula Poikonen-Saksela, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Albino J Oliveira-Maia, Johanna Mattson, Ilan Roziner, Chiara Marzorati, Kostas Marias, Mikko Nuutinen, Evangelos Karademas, Dimitrios Fotiadis

J Med Internet Res 2023;25:e43838

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Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data

Arezoo Bozorgmehr, Birgitta Weltermann

JMIR AI 2023;2:e41868

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Levels of Autonomous Radiology

Suraj Ghuwalewala, Viraj Kulkarni, Richa Pant, Amit Kharat

Interact J Med Res 2022;11(2):e38655

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Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation

Ada Ng, Boyang Wei, Jayalakshmi Jain, Erin A Ward, S Darius Tandon, Judith T Moskowitz, Sheila Krogh-Jespersen, Lauren S Wakschlag, Nabil Alshurafa

JMIR Mhealth Uhealth 2022;10(8):e33850

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