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Skip search results from other journals and go to results- 592 Journal of Medical Internet Research
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Extended Reality–Enhanced Mental Health Consultation Training: Quantitative Evaluation Study
(A) Wireframe of the patient avatar, Stacey; (B) Soundboard for instructors to control Stacey’s responses; (C) Setting for the consultation, showing the learner (blue) and the patient avatar.
During the simulation, learners interacted with Stacey by asking questions that were either processed by conversational artificial intelligence (AI) or directly controlled by the instructor for tailored responses.
JMIR Med Educ 2025;11:e64619
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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review
Number of studies that evaluated (A) fine-tuning and (B) prompt engineering methodologies to optimize large language model data extraction performance.
Our scoping review of 24 studies highlights significant research interest in designing, evaluating, and deploying LLMs for data extraction from clinical text in oncology. The most commonly used LLMs for data extraction from clinical text in oncology include BERT and Chat-GPT, two of the most well-known LLMs in NLP research.
JMIR Cancer 2025;11:e65984
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Analytical validation reference table showing the schematic and equationsa,b,c,d,e used to report snore detection performance of the Sleep Watch app in this study.
a Accuracy = (true positive + true negative)/(true positive + true negative + false positive + false negative).
b Sensitivity = true positive/(true positive + false negative).
c Specificity = true negative/(false positive + true negative).
d Positive predictive value = true positive/(true positive + false positive).
e Negative predictive value = true negative
JMIR Form Res 2025;9:e67861
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These technologies may be particularly well-suited to augment existing patient-centered, comprehensive models of HIV care that are enabled by federal Ryan White funding in the United States [19], as these care models already feature medical case management, food pantries, support to obtain housing, and other services to address social determinants of health.
JMIR Form Res 2025;9:e59953
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(A) Number of days used JUUL2 in past 7 days; (B) number of times used JUUL2 per day; and (C) number of JUUL2 puffs per day.
The incidence of study-emergent AEs was low for each of the 5 JUUL2 products during the 6-week actual use period—in each group less than 2.5% of participants reported an AE (Virginia Tobacco, 1/262, 0.4%; for, Autumn Tobacco, 2/237, 0.8%, Polar Menthol, 2/262, 0.8%, Ruby Menthol 2/234, 0.9%, for Summer Menthol, 6/249, 2.4%; Multimedia Appendices 16 and 17).
Interact J Med Res 2025;14:e60620
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