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JMIR Medical Informatics|October 3, 2023
Large Language Models for Epidemiological Research via Automated Machine Learning: Case Study Using Data From the British National Child Development StudyRasmus Wibaek, Gregers Stig Andersen, Christina C Dahm, et al.
JMIR Medical Informatics|March 3, 2026
Evaluating GPT-4 Responses on Scars or Keloids for Patient Education: Large Language Model Evaluation StudyMingjun Rao, Tang Xiujun, Wang Haoyu
JMIR Medical Informatics|March 3, 2026
Core Elements, Development, and Implementation Strategies of the Nursing Minimum Data Set: Scoping ReviewPascal Müller, Annabell Gangnus, Katrin Gayen, et al.
JMIR Medical Informatics|February 23, 2026
Correction: Exploring the Potential of Claude 3 Opus in Renal Pathological Diagnosis: Performance EvaluationJmir Publications Editorial Office
JMIR Medical Informatics|February 26, 2026
Balancing Privacy and Utility in Child and Adolescent Mental Health Services Research: Retrospective Cohort Study on Synthetic Data GenerationMounir Haizoune, Bennett L Leventhal, Dipendra Pant, et al.
JMIR Medical Informatics|March 7, 2026
CO2 Laser Popularity in Germany: A Five-Year Google Trends Analysis (2020-2025)Michael Constantin Kirchberger, Andreas Eisenried
JMIR Medical Informatics|March 11, 2026
Tailoring Discharge Summaries to Health Care Providers' Needs (Part 1 of the Framework and Implementation of AI Tools Project): User-Centered Design ApproachMieke Deschepper, Helga Rogge, Mathias Syx, et al.
JMIR Medical Informatics|April 3, 2024
Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping ReviewAditya Singhal, Nikita Neveditsin, Hasnaat Tanveer, et al.
JMIR Medical Informatics|March 31, 2026
Impact of an Ambient AI Scribe Among Clinicians and Patients: Real-World Prospective Observational Time-Motion StudyJonathan Yue En Tan, Iffat Bin Mohammad Rafi, Gerald Gui Ren Sng, et al.
JMIR Medical Informatics|March 30, 2026
A Bilayer Feature Fusion Framework for Pan-Cancer Survival Prediction Based on Multihead Attention and Adaptive Differential Privacy: Model Development and Validation StudyYun Chen, Zhifang Deng, Lili Wang, et al.
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