Health and Explainable AI Podcast

Auteur(s): Pitt Health and Explainable AI (Pitt HexAI) Research Laboratory
  • Résumé

  • Podcast on advancements in health informatics and explainable AI, PittHexAI is a research laboratory at the University of Pittsburgh, School of Health and Rehabilitation Sciences' Department of Health Information Management. Headed by Ahmad Tafti, the lab cultivates extramural collaborations with other academic institutions both nationally and internationally through its research and educational contributions and the Pitt Health and Explainable AI Podcast series bringing students and medical professionals together to discuss their work connecting health informatics and artificial intelligence.
    Pitt Health and Explainable AI (Pitt HexAI) Research Laboratory
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Épisodes
  • RAI for Ukraine Program on Pitt HexAI
    Feb 16 2025

    Pitt HexAI podcast host Jordan Gass-Poore’ speaks with three talented young student researchers from Ukraine who participated in the RAI for Ukraine program, a fully remote academic research program launched by NYU in partnership with the Ukrainian Catholic University (UCU) in Lviv, Ukraine. The program conducts cutting-edge collaborative research on a range of responsible AI topics in collaboration with mentors from other U.S. and European universities.

    Participating students: Yaroslav Klym, Vladyslav Protsenko, and Danylo Reznyk discuss the RAI for Ukraine program, their journeys into the initiative, their experiences working with the AMIIE Lab at Pace University and the HexAI Lab at the University of Pittsburgh, as well as provide insights into their research and forthcoming papers.

    The RAI for Ukraine program and participating initiatives like Pitt's HexAI lab help provide high-quality research opportunities to students in Ukraine, helping to strengthen research capacity in responsible and explainable AI.

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    35 min
  • Xenophon Papademetris on Pitt HexAI
    Dec 28 2024

    Dr. Xenophon Papademetris, Professor of Biomedical Informatics & Data Science, and Radiology & Biomedical Imaging at Yale School of Medicine speaks with Pitt HexAI guest host Jamie Gramz, Senior Director of Digital Strategy and Business Development with Siemens Healthineers. Jamie and Dr. Papademetris discuss Xenophon’s experience in medical image analysis, machine learning, and software development and his involvement in the development of medical image analysis software as well as his involvement in Yale’s Certificate Program in Medical Software and Medical AI. Jamie and Dr. Papademetris also discuss Xenophon’s textbook “Introduction to Medical Software: Foundations for Digital Health, Devices and Diagnostics” and his Coursera online class “Introduction to Medical Software”, the importance of medical software and AI education as well as the importance of interdisciplinary collaboration in AI for healthcare, and they discuss explainability in AI and clinical communications.

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    35 min
  • Beth Bauer on Pitt HexAI
    Nov 23 2024

    Pitt HexAI podcast host Jordan Gass-Poore´ speaks with Beth Bauer about data and digital knowledge in the AI age, exploring foundational, strategic, and people-focused perspectives. Beth, CEO of PosiROI, Co-Founder and CEO of Communities Connected, VP of The DataJam, and Global Board Co-Chair of Program & Projects for the Healthcare Businesswomen Association’s Women in Healthcare Giveback affinity group, is a trailblazer in aligning technology, data, and analytics with people and shared goals. Known for her inspirational public speaking, extensive mentoring, and educational initiatives, Beth has shaped strategies and innovations that empower people through data for over 35 years. In this episode, she and Jordan discuss her insights on data, artificial intelligence, and explainable AI, as well as her work inspiring young people, promoting data fluency, and fostering people-centric, data-informed cultures that drive holistic, intentional outcomes.

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    47 min

Ce que les auditeurs disent de Health and Explainable AI Podcast

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