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JMIR AI|June 14, 2024
Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological StudyZoltan P Majdik, S Scott Graham, Jade C Shiva Edward, et al.
JMIR AI|June 14, 2024
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language ProcessingKyeryoung Lee, Zongzhi Liu, Urmila Chandran, et al.
JMIR AI|June 14, 2024
Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational StudyMax Rollwage, Johanna Habicht, Keno Juechems, et al.
JMIR AI|June 14, 2024
The Evolution of Artificial Intelligence in Biomedicine: Bibliometric AnalysisJiasheng Gu, Chongyang Gao, Lili Wang
JMIR AI|June 14, 2024
Adolescents' Well-being While Using a Mobile Artificial Intelligence-Powered Acceptance Commitment Therapy Tool: Evidence From a Longitudinal StudyDana Vertsberger, Navot Naor, Mirène Winsberg
JMIR AI|June 14, 2024
Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation StudyMaria Montserrat Duh, Neus Torra-Ferrer, Meritxell Riera-Marín, et al.
JMIR AI|December 13, 2023
Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation StudyChaoqi Yang, Cao Xiao, M Brandon Westover, et al.
JMIR AI|September 11, 2024
Development of Lung Cancer Risk Prediction Machine Learning Models for Equitable Learning Health System: Retrospective StudyAnjun Chen, Erman Wu, Ran Huang, et al.
JMIR AI|February 19, 2026
AI-Generated Images of Substance Use and Recovery: Mixed Methods Case StudyKathryn Heley, Jeffrey K Hom, Linnea Laestadius
JMIR AI|October 17, 2024
Identifying Marijuana Use Behaviors Among Youth Experiencing Homelessness Using a Machine Learning-Based Framework: Development and Evaluation StudyTianjie Deng, Andrew Urbaczewski, Young Jin Lee, et al.
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