Search Articles

View query in Help articles search

Search Results (1 to 10 of 42 Results)

Download search results: CSV END BibTex RIS


Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study

Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study

Another research study by Nair et al [49] proposed a multistage approach that leveraged few-shot prompting techniques to generate summaries of patient-provider dialogues within the health care domain. They relied on GPT-3 as a model for their multistage approach and validated their method with respect to 100 clinical encounters. They examined in particular the impact of the number of examples provided in the prompt, varying among 1, 3, and 5 examples.

Rakhi Asokkumar Subjagouri Nair, Matthias Hartung, Philipp Heinisch, Janik Jaskolski, Cornelius Starke-Knäusel, Susana Veríssimo, David Maria Schmidt, Philipp Cimiano

JMIR Med Inform 2025;13:e62909

The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review

The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review

Nair et al [70] identified strategies and barriers for successful implementation that lead to sustainable use in 3 essential areas (planning, implementing, and sustaining the use). When integrating AI systems for decision-making support, the evaluation of changes in clinical workflows needs to be considered proactively during the planning phase to avoid unseen organizational or increased demand issues when put in place [68].

Hassan Auf, Petra Svedberg, Jens Nygren, Monika Nair, Lina E Lundgren

J Med Internet Res 2025;27:e63548