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JMIR AI|June 14, 2024
A Trainable Open-Source Machine Learning Accelerometer Activity Recognition Toolbox: Deep Learning ApproachFluri Wieland, Claudio Nigg
JMIR AI|June 14, 2024
A Scalable Radiomics- and Natural Language Processing-Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation StudyHossein Naseri, Sonia Skamene, Marwan Tolba, et al.
JMIR AI|June 14, 2024
Momentary Depressive Feeling Detection Using X (Formerly Twitter) Data: Contextual Language ApproachAli Akbar Jamali, Corinne Berger, Raymond J Spiteri
JMIR AI|July 17, 2023
Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health CareAaron Edward Casey, Saba Ansari, Bahareh Nakisa, et al.
JMIR AI|August 20, 2025
A Real-Time Signal-Based Wavelet Long Short-Term Memory Method for Length-of-Stay Prediction for the Intensive Care Unit: Development and Evaluation StudyYiqun Jiang, Qing Li, Wenli Zhang
JMIR AI|August 21, 2025
Personalization of AI Using Personal Foundation Models Can Lead to More Precise Digital TherapeuticsPeter Washington
JMIR AI|December 11, 2025
Observer-Independent Assessment of Content Overlap in Mental Health Questionnaires: Large Language Model-Based StudyAnnkathrin Böke, Hannah Hacker, Millennia Chakraborty, et al.
JMIR AI|January 8, 2026
Explainable Multitask Burnout Prediction Using Adaptive Deep Learning (EMBRACE) for Resident Physicians: Algorithm Development and Validation StudySaima Alam, Mohammad Arif Ul Alam
JMIR AI|October 30, 2025
Balancing Innovation and Control: The European Union AI Act in an Era of Global UncertaintyElena Giovanna Bignami, Michele Russo, Federico Semeraro, et al.
JMIR AI|October 30, 2025
ETHICS of AI Adoption and Deployment in Health Care: Progress, Challenges, and Next StepsObinna O Oleribe, Andrew W Taylor-Robinson, Christian C Chimezie, et al.
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