YOUR GO-TO INTELLIGENCE RESOURCE FOR THE SCHOLARLY PUBLISHING INDUSTRY

JMIR Medical Informatics invites contributions that delve into the reliability, transparency, and evidence-based effectiveness of AI language models, shedding light on their real-world impact on patient care, medical education, research, and health care systems at large. The objective is to foster a rich dialogue that not only unveils innovative applications but also confronts the hurdles of implementing such technologies in diverse health care environments and their impacts. We aspire to create a robust foundation for leveraging AI language models to increase the quality and efficiency of health care delivery while upholding the highest standards of safety and ethics.

AI language models hold substantial promise within health care settings but also come with challenges associated with their integration. Accordingly, the new section invites topics including but not limited to the following:Comparative analyses of policies and regulations across different countries; Conducive environments for global AI language model implementations; Strategies to ensure unbiased, reliable, transparent, and ethical use of AI language models in health care; Comprehensive methodologies for AI language model implementations in health care settings; Case studies on the real-world impact and effectiveness of AI language models across various health care settings; and Outcomes of AI language model implementation, including acceptability, adoption, feasibility, cost-effectiveness, sustainability, safety, and usability within health care settings.

All submissions will undergo a rigorous peer-review process, and accepted articles will be published as part of the “AI Language Models in Health Care” section.