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Webinar
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models Journal of the American Medical Informatics Association , 2024;, ocae071 Read the Abstract Presenter Statement of Purpose The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires [...]
National Academies of Medicine Artificial Intelligence Code of Conduct Webinar
Webinar
Join us for a webinar outlining the National Academies of Medicine (NAM) Artificial Intelligence Code of Conduct (AICC) discussion draft. Several AMIA leaders are leading the AICC project and would appreciate feedback from AMIA members to take back to NAM to potentially incorporate into the final publication.
Emory University School of Medicine
Biomedical Informatics concentration in the Computer Science and Informatics Graduate Program – Department of Biomedical Informatics
Program Type
Master’s
Program Format
In-Person
Emory University School of Medicine
Biomedical Informatics concentration in the Computer Science and Informatics Graduate Program – Department of Biomedical Informatics
Program Type
Doctoral
Program Format
In-Person
Washington Download
The Washington Download - Vol. 9 Issue 9
May 6, 2024
Top News Watch the AMIA 2024 Virtual Hill Day Recap Webinar Recording Missed the webinar? You can watch a recording of the AMIA Public Policy team and participants sharing information about the connections and progress made, along with experiences from AMIA’s first-ever Virtual Hill Day. You will learn what this
Request for Information on the State of AI in Healthcare from Rep. Ami Bera
May 6, 2024
AMIA received a request for information (RFI) from House of Representative Ami Bera (D- California District 6) regarding the current state of AI in health care. Aspects in the RFI include how extensively is AI implemented in health institutions, existing evidence regarding efficacy and accuracy of AI-driven health care solutions […]
Intelligent Systematic Literature Reviews (ISLaR): a Gen-AI Powered Tool for Real-Time Article Screening and Data Extraction
Webinar
Traditional systematic literature review (SLR) methodologies suffer from inefficiency due to their time-consuming and resource-intensive nature. Our goal is to improve this process by developing an efficient Intelligent Systematic Literature Reviews (ISLaR) system, using Generative Pre-Trained Transformer 4 (GPT-4), for real-time article screening and data extraction.
Collection of Race and Ethnicity Data in Clinical Trials and Clinical Studies for FDA-Regulated Medical Products
April 29, 2024
Thank you for the opportunity to submit comments to the Food and Drug Administration’s (FDA) draft guidance “Collection of Race and Ethnicity Data in Clinical Trials and Clinical Studies for FDA-Regulated Medical Products.” As the leading organization of professionals working with healthcare data and protected health information (PHI), the American […]
JAMIA Journal Club Webinar - May 2024
Webinar
Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer’s disease and related dementias Journal of the American Medical Informatics Association , Volume 31, Issue 5, May 2024, Pages 1062–1073, Read the Abstract Presenter Statement of Purpose Current clinical trials continue to suffer from low recruitment [...]
University of California, Davis
Pathology & Laboratory Medicine - Clinical Informatics Fellowship
Program Type
Fellowship
Program Format
Hybrid