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Translational Bioinformatics

Type
AMIA On Demand
Credits
1.00
CME
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models Predicting phenotypes with complex genetic bases based on a small, interpretable set of variant features remains a challenging task. Conventionally, data-driven approaches are utilized for this task, yet the high dimensional nature of genotype data make the analysis [...]
Course Event Type
NEW
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Wrangling Clinical Documentation with LLMs

Type
AMIA On Demand
Credits
1.50
CME
Not the Models You Are Looking For: An Evaluation of Performance, Privacy, and Fairness of LLMs in EHR Tasks We use a private dataset derived from Vanderbilt University Medical Center’s EHR and GPT-3.5, GPT-4, and traditional ML, measuring predictive performance, output calibration, privacy-utility tradeoff, and algorithmic fairness. Traditional ML vastly [...]
Course Event Type
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Inside Cleveland Clinic and John Muir Health’s Approach to Ambient AI

Type
Industry Partner
As health systems grow, clinical informatics leaders play a critical role in selecting and deploying AI solutions that enhance documentation, coding accuracy, and clinician workflows. Ambient AI technology holds immense potential—but how do you evaluate these tools for specialty-specific needs, adoption at scale, and real ROI, and how do you [...]
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JAMIA Journal Club Webinar - February 2025

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models
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Promises and Pitfalls: Ensuring Equity in Generative Artificial Intelligence for Primary Care

Type
Member Interests
In this webinar, a panel of Internal Medicine and Pediatrics primary care informaticists will examine equity considerations around emerging generative AI solutions such as ambient listening documentation, patient portal draft replies, and generative summaries for patient education. Drawing on their experience at the intersection of health equity and technology, the [...]
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