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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

(C) Private LLMs: EHR data can be shared with a local hospital LLM, and prompt entry with question curation can be used to gain oncologic insights. EHR: electronic health record. This study was approved by the Institutional Review Board of the Icahn School of Medicine at Mount Sinai (no. 22‐00347). Informed consent was waived given the retrospective nature of the study. To ensure confidentiality of patient data, only authorized research study personnel were permitted access to patient data.

Denise Lee, Akhil Vaid, Kartikeya M Menon, Robert Freeman, David S Matteson, Michael L Marin, Girish N Nadkarni

JMIR Form Res 2025;9:e64544

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Table S4 in Multimedia Appendix 1 reports additional rating subgroups (ie, by topic and clinician persona). b GPT: generative pretrained transformer. c“GPT-3.5” conversations used GPT-3.5-Turbo as the virtual patient (N=36 because these did not include 12 self-chat conversations). All other conversations used GPT-4.0-Turbo. d GPT did not rate user experience. We report final ratings subgroup comparisons in Table 5. Differences between topics were small.

David A Cook, Joshua Overgaard, V Shane Pankratz, Guilherme Del Fiol, Chris A Aakre

J Med Internet Res 2025;27:e68486

A Remote Intervention Based on mHealth and Community Health Workers for Antiretroviral Therapy Adherence in People With HIV: Pilot Randomized Controlled Trial

A Remote Intervention Based on mHealth and Community Health Workers for Antiretroviral Therapy Adherence in People With HIV: Pilot Randomized Controlled Trial

User interface of Wise App showcasing demo account data: (A) main menu, (B) dashboard with medication adherence status, (C) chat interface, (D) My Stats tab, (E) Videos and Information tab, (F) My Alerts tab, and (G) My Meds tab and Edit Schedule interface. The Clever Cap pill bottle (Figure 2) tracked medication adherence by recording when the bottle was opened, with a dose marked as “taken” only if the cap remained off for at least 5 seconds.

Shivesh Shourya, Jianfang Liu, Sophia McInerney, Trinity Casimir, James Kenniff, Trace Kershaw, David Batey, Rebecca Schnall

JMIR Form Res 2025;9:e67997

Perspectives of Adolescents and Young Adults With Inflammatory Bowel Disease on a Biopsychosocial Transition Intervention: Qualitative Interview Study

Perspectives of Adolescents and Young Adults With Inflammatory Bowel Disease on a Biopsychosocial Transition Intervention: Qualitative Interview Study

Participant identifiers beginning with “C” denote control arm participants, and those beginning with “I” indicate intervention arm participants in the results. We constructed three themes through our analysis: (1) making meaning of transitions in care; (2) perceptions and impact of the biopsychosocial transition intervention; and (3) considerations for future transition care, including the importance of tailored supports.

Brooke Allemang, Ashleigh Miatello, Mira Browne, Melanie Barwick, Pranshu Maini, Joshua Eszczuk, Chetan Pandit, Tandeep Sadhra, Laura Forhan, Natasha Bollegala, Nancy Fu, Kate Lee, Emily Dekker, Irina Nistor, Sara Ahola Kohut, Laurie Keefer, Anne Marie Griffiths, Thomas D Walters, Samantha Micsinszki, David R Mack, Sally Lawrence, Karen I Kroeker, Jacqueline de Guzman, Aalia Tausif, Claudia Tersigni, Samantha J Anthony, Eric I Benchimol

JMIR Pediatr Parent 2025;8:e64618