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Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review

Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review

Specifically, 5 of the authors of this review (LW, ZW, CN, QS, and YL) participated in paper screening and summarization under the supervision of the corresponding author, ZY. A screening protocol was created collectively after the team jointly reviewed 50 randomly selected papers. Each unreviewed paper was then screened by not fewer than 2 authors based on the protocol.

Leyao Wang, Zhiyu Wan, Congning Ni, Qingyuan Song, Yang Li, Ellen Clayton, Bradley Malin, Zhijun Yin

J Med Internet Res 2024;26:e22769

Targeting COVID-19 and Human Resources for Health News Information Extraction: Algorithm Development and Validation

Targeting COVID-19 and Human Resources for Health News Information Extraction: Algorithm Development and Validation

Given the critical use case for Deep Covid, we decided to use an extractive summarization model [39,40]. In the following sections, we describe how we built 2 sets of extractive summarization labels to fine-tune Deep Covid. Unlike the classification model, the summarization model operates on a manageable volume of news articles. Therefore, we decided to collect human annotations.

Mathieu Ravaut, Ruochen Zhao, Duy Phung, Vicky Mengqi Qin, Dusan Milovanovic, Anita Pienkowska, Iva Bojic, Josip Car, Shafiq Joty

JMIR AI 2024;3:e55059

Creation of an Automated and Comprehensive Resident Progress System for Residents and to Save Hours of Faculty Time: Mixed Methods Study

Creation of an Automated and Comprehensive Resident Progress System for Residents and to Save Hours of Faculty Time: Mixed Methods Study

Faculty also reported a savings of 8 hours of preparation per biannual CCC meeting, due to the residency system’s aggregation and summarization of resident data in one place. The authors recognize the limitation that not every institution and residency program will have an informatics division that can replicate the programming required to automate such a residency education management system.

Rimma Perotte, Alyssa Berns, Lana Shaker, Chayapol Ophaswongse, Joseph Underwood, Christina Hajicharalambous

JMIR Form Res 2024;8:e53314

Patient Information Summarization in Clinical Settings: Scoping Review

Patient Information Summarization in Clinical Settings: Scoping Review

The latter reviews, although exhaustive in their specific scope, do not permit the identification of state-of-the-art summarization methods for HCPs. For example, it is difficult to state the current state of research for the management of uncertainty and time in clinical summarization. Moreover, they did not provide any informed guidelines for clinical summarization.

Daniel Keszthelyi, Christophe Gaudet-Blavignac, Mina Bjelogrlic, Christian Lovis

JMIR Med Inform 2023;11:e44639