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JAMIA Journal Club Webinar - June 2026

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
Building Safer Artificial Intelligence Mental Health Chatbots: A Framework for Transparency, Evaluation, and Shared Accountability Read the abstract Moderator Presenter Statement of Purpose Generative AI chatbots are increasingly being used for emotional support and mental health guidance, despite limited evidence demonstrating their safety, effectiveness, or appropriate governance. Recent studies and [...]
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JAMIA Journal Club Webinar - April 2026

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
SBDH-Reader: A Large Language Model-Powered Method for Extracting Social and Behavioral Determinants of Health from Clinical Notes Read the abstract Moderator Presenter Statement of Purpose Social and behavioral determinants of health (SBDH), including employment, housing stability, substance use, and other life context factors, are critical drivers of clinical outcomes and [...]
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JAMIA Journal Club Webinar - February 2026

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
In Vitro to in Vivo Translation of Artificial Intelligence for Clinical Use: Screening for Acute Coronary Syndrome to Identify ST-Elevation Myocardial Infarction Read the abstract Presenter Moderator Statement of Purpose Despite rapid growth in the development of clinical prediction models, methodological guidance for their technical translation from desktop, in vitro [...]
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JAMIA Journal Club Webinar - November 2025

Type
JAMIA Journal Club
Comparing Patient-Reported Symptoms and Structured Clinician Documentation in Electronic Health Records Read the abstract Moderator Presenter Statement of Purpose Real-world data (RWD) from electronic health records (EHRs) are increasingly used to understand health outcomes in diverse populations. However, much of this data relies on structured clinician documentation, which often reflects [...]
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JAMIA Journal Club Webinar - October 2025

Type
JAMIA Journal Club
Multi-Modal Prediction of Extracorporeal Support—A Resource Intensive Therapy, Utilizing A Large National Database