Health and Explainable AI Podcast

Por: Pitt HexAI Lab and the Computational Pathology and AI Center of Excellence
The Health and Explainable AI podcast is a collaborative initiative between the Health and Explainable AI (HexAI) Research Lab in the Department of Health Information Management at the School of Health and Rehabilitation Sciences, and the Computational Pathology and AI Center of Excellence (CPACE), at the University of Pittsburgh School of Medicine. Led by Ahmad P. Tafti, Hooman Rashidi and Liron Pantanowitz, the podcast explores the transformative integration of responsible and explainable artificial intelligence into health informatics, clinical decision-making, and computational medicine.
35 episodios disponibles

Latest episodes of the podcast Health and Explainable AI Podcast

Dennis Wei from IBM on In-Context Explainability and the Future of Trustworthy AI 19/11/2025
Jason Moore from Cedars-Sinai on the Incorporation of AI Agents into Precision Health 14/10/2025
Peter Maurer from the University of Chicago on the Future Impact of Quantum Sensing on Biomedical Research and Diagnostics 10/09/2025
Karen Colbert on Pitt HexAI 05/06/2025
Anatea Einhorn on Pitt HexAI 11/05/2025
Janneta Tabakov from Perplexity on Pitt HexAI 04/05/2025
Yanshan Wang on Pitt HexAI 02/04/2025
RAI for Ukraine Program on Pitt HexAI 16/02/2025
Xenophon Papademetris on Pitt HexAI 28/12/2024
Beth Bauer on Pitt HexAI 23/11/2024
Ashwin Kumar on Pitt HexAI 25/09/2024
John Carbone on Pitt HexAI 21/08/2024
Dr. Aristotelis Tsirigos on Pitt HexAI 21/07/2024
Fei Wang on Pitt HexAI 31/05/2024
Adolph Yates on Pitt HexAI 02/04/2024
Elizabeth Skidmore on Pitt HexAI 07/03/2024
Sarah Wheeler on Pitt HexAI 23/02/2024
Dr. Dana Tudorascu on Pitt HexAI 26/01/2024
Dr. Hooman Rashidi on Pitt HexAI 24/12/2023
Morgan Cheatham on Pitt HexAI 20/12/2023
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