Scientific Sessions 2025  /  Leveraging Artificial Intelligence in Cardiac Imaging  /  Dealing with Potential Bias in AI-based Imaging
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Dealing with Potential Bias in AI-based Imaging

  • Wawira, Judy  ( Emory , Atlanta , Georgia , United States )
  • Banerjeey, Imon  ( Mayo Clinic , Rochester , Minnesota , United States )
  • Cook, Tessa  ( HOSPITAL UNIVERSITY PENNSYLVANIA , Philadelphia , Pennsylvania , United States )
    • Author Disclosures:
    Judy Gichoya: DO have relevant financial relationships ; Research Funding (PI or named investigator):NIH:Active (exists now) ; Speaker:Cook Medical.:Past (completed) ; Executive Role:Society of Imaging Informatics In Medicine - Board member:Active (exists now) ; Speaker:National Comprehensive Cancer Network meeting :Past (completed) ; Research Funding (PI or named investigator):Clarity:Active (exists now) ; Research Funding (PI or named investigator):LUNIT:Active (exists now) ; Research Funding (PI or named investigator):BunkerHill Foundation:Active (exists now) | Imon Banerjeey: No Answer | Tessa Cook: No Answer
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

Leveraging Artificial Intelligence in Cardiac Imaging

Monday, 11/10/2025 , 01:30PM - 02:45PM

Cardiovascular Seminar

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Cardiovascular AI based Imaging and the End user experience

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Integrating NLP-based strategies into clinical imaging reporting

Van Assen Marly, Mansi Tommaso, Vliegenthart Rozemarijn

More abstracts from these authors:
Uncovering Sex Bias in Machine Learning Algorithms for Detecting Acute Myocardial Infarction using Electrocardiographic Data

Kandikonda Yasoda Sai Ram, Bold Delgersuren, Ding Cheng, Fedorov Alex, Lu Jiaying, Yan Runze, Hu Xiao, Xiao Ran, Goyal Abhinav, Zegre-hemsey Jessica, Kumar Lekshmi, Wright David, Van Assen Marly, Wawira Judy, Suba Sukardi, Carey Mary

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