Showing results (931-940 of 1,978) with videos related to

Sort By:
Pageof 198
JMIR Medical Informatics|May 26, 2026
Association Between Metabolic Clusters and Microbial Age in High-Risk Populations for Diabetes and Their Potential Impact on Cardiovascular Disease Risk: Cross-Sectional Observational StudyLu Xinlin, Hongli Gu, Ren Li, et al.
JMIR Medical Informatics|May 6, 2026
Digital Health Communication for Deaf Individuals: Scoping Review of Technologies, Strategies, and OutcomesThay Hui Tan, Zi Chiang Lim, Uma Devi Palanisamy, et al.
JMIR Medical Informatics|April 13, 2026
Enhancing Model Generalizability in Medical Artificial Intelligence: Systematic Comparison of Categorical Encoding and Sampling Techniques for Imbalanced DataChien-Wei Chuang, Chung-Kuan Wu, Chao-Hsin Wu, et al.
JMIR Medical Informatics|June 8, 2026
Predicting 5-Year Mortality in Non-Small-Cell Lung Cancer Using the Korean Central Cancer Registry: Model Development and Validation StudyJong Hyuk Lee, Ho Cheol Kim, Kyu-Won Jung, et al.
JMIR Medical Informatics|February 1, 2024
Multicriteria Decision-Making in Diabetes Management and Decision Support: Systematic ReviewTahmineh Aldaghi, Jan Muzik
JMIR Medical Informatics|January 21, 2018
The Use of Technology in Identifying Hospital Malnutrition: Scoping ReviewDino Trtovac, Joon Lee
JMIR Medical Informatics|June 17, 2026
Dynamic Consent for Secondary Use of Health Data: Challenges and Opportunities Under European LawSudip Phuyal, Manila Bhandari, Ricardo Correia Bezerra, et al.
JMIR Medical Informatics|August 15, 2022
Tempering Expectations on the Medical Artificial Intelligence Revolution: The Medical Trainee ViewpointZoe Hu, Ricky Hu, Olivia Yau, et al.
JMIR Medical Informatics|July 8, 2026
"Do It by Myself" or Autonomy, Participation, and Assistive Devices and Technology Needs of Children and Youth With Disabilities: Text Mining Analysis of a National Survey in FranceJohanne Mensah Gourmel, Maxime Bourgain, Maxime Galloy, et al.
JMIR Medical Informatics|July 8, 2026
AI-Assisted Detection of Supraspinatus Tendon Pathologies Using a Hierarchical Deep Learning Model to Improve Clinical Applicability: Development and Evaluation StudyKun-Hui Chen, Jacky Chung-Hao Wu, Hsin-Yu Chang, et al.
Pageof 198