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Evaluating an AI Chatbot “Prostate Cancer Info” for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study

Evaluating an AI Chatbot “Prostate Cancer Info” for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study

In a recent study by the authors, Owens and Leonard [23] discovered that soliciting plain-language responses from chatbots to Pr CA screening inquiries significantly enhanced the response’s readability. Conversely, credibility was difficult to ascertain because generative AI chatbots do not consistently reference authoritative information sources [23].

Otis L Owens, Michael S Leonard

JMIR Cancer 2025;11:e72522

Patient Adoption of Digital Use Cases in Family Medicine and a Nuanced Implementation Approach for Family Doctors: Quantitative Web-Based Survey Study

Patient Adoption of Digital Use Cases in Family Medicine and a Nuanced Implementation Approach for Family Doctors: Quantitative Web-Based Survey Study

Dark blue indicates areas to collect evidence for hypothesis B, while gray indicates areas to test hypothesis C. In these superordinate hypotheses, we replicated the same research model for each digital use case, with each testing the same subordinate hypotheses. Therefore, all subordinate hypotheses have the same components.

Julian Beerbaum, Sibylle Robens, Leonard Fehring, Achim Mortsiefer, Sven Meister

JMIR Form Res 2025;9:e58867

Patient-Accessible Electronic Health Records and Information Practices in Mental Health Care Contexts: Scoping Review

Patient-Accessible Electronic Health Records and Information Practices in Mental Health Care Contexts: Scoping Review

Furthermore, our search strategy did not include gray literature, meaning evaluations of some PAEHR systems that have not been published in academic journals may have been missed. This review was also limited by having only 1 author screen all the studies and extract the data for analysis. A pragmatic approach to screening was used, where only studies with unclear eligibility for inclusion were screened by a second author.

Timothy Kariotis, Megan Prictor, Kathleen Gray, Shanton Chang

J Med Internet Res 2025;27:e54973