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Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study

Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study

(A) Two tests of the large language model in the first phase and (B) the second phase is real scenario testing. The inclusion criteria for ophthalmologists were (1) serving as chief ophthalmologists with at least 10 years of clinical experience, (2) native Mandarin speakers, and (3) with expertise in assessing the quality of patient education materials and health consultation texts.

Bin Wei, Lili Yao, Xin Hu, Yuxiang Hu, Jie Rao, Yu Ji, Zhuoer Dong, Yichong Duan, Xiaorong Wu

J Med Internet Res 2025;27:e67883

Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study

Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study

We examined all contexts along the data pipeline, from population-level breast cancer screening to diagnostic biopsies and surgical treatments, clinical pathology, and specimen accessioning through the biobanking platform, where it may be stored for future use in –80 °C freezers or distributed fresh for next-generation biobanking applications such as patient-derived organoids, multi-omics, and high-throughput testing.

William Sanchez, Ananya Dewan, Eve Budd, M Eifler, Robert C Miller, Jeffery Kahn, Mario Macis, Marielle Gross

JMIR Bioinform Biotech 2025;6:e70463

Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study

Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study

(B) Precision-recall (PR) curve using logistic regression with notes, ICD codes, and medications as input. The area under the PR curve (AUPRC) was 0.921 (95% CI 0.835-0.969). The optimal cutoff achieved a recall of 96.78% (842/870; ie, sensitivity at 96.78%) and a precision of 80.88% (842/1081). BIDMC: Beth Israel Deaconess Medical Center; ICD: International Classification of Diseases; MGH: Mass General Hospital.

Daniel Sumsion, Elijah Davis, Marta Fernandes, Ruoqi Wei, Rebecca Milde, Jet Malou Veltink, Wan-Yee Kong, Yiwen Xiong, Samvrit Rao, Tara Westover, Lydia Petersen, Niels Turley, Arjun Singh, Stephanie Buss, Shibani Mukerji, Sahar Zafar, Sudeshna Das, Valdery Moura Junior, Manohar Ghanta, Aditya Gupta, Jennifer Kim, Katie Stone, Emmanuel Mignot, Dennis Hwang, Lynn Marie Trotti, Gari D Clifford, Umakanth Katwa, Robert Thomas, M Brandon Westover, Haoqi Sun

JMIR Med Inform 2025;13:e64113

Digital Health Intervention to Reduce Malnutrition Among Individuals With Gastrointestinal Cancer Receiving Cytoreductive Surgery Combined With Hyperthermic Intraperitoneal Chemotherapy: Feasibility, Acceptability, and Usability Trial

Digital Health Intervention to Reduce Malnutrition Among Individuals With Gastrointestinal Cancer Receiving Cytoreductive Surgery Combined With Hyperthermic Intraperitoneal Chemotherapy: Feasibility, Acceptability, and Usability Trial

Within 3 to 5 days of the participant receiving the Fitbit tracker, one of the study coordinators (RH, OS, and SD-C) contacted the participant to confirm that they were able to use the device. Participants received an introduction to the Fitbit tracker before undergoing CRS-HIPEC. Recruitment occurred from December 2022 to July 2023. Dietitians reviewed the participants’ food intake and nutritional assessments and conducted 6 biweekly telehealth or in-person counseling sessions with them.

Yu Chen Lin, Ryan Hagen, Benjamin D Powers, Sean P Dineen, Jeanine Milano, Emma Hume, Olivia Sprow, Sophia Diaz-Carraway, Jennifer B Permuth, Jeremiah Deneve, Amir Alishahi Tabriz, Kea Turner

JMIR Cancer 2025;11:e67108