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.

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.

Ashwin Kumar, a PhD candidate at Washington University in St Louis, working on fair resource allocation and explainable AI, speaks with Brent Phillips, Pitt HexAI podcast producer, about the intricacies of fairness in AI systems and about balancing fairness and efficiency in complex systems like ride-sharing and healthcare resource distribution. The discussion dives into AI transparency, human-machine interaction, multi-agent reinforcement learning, and the evolving challenges in ensuring equitable outcomes in AI decision-making. The conversation connects AI's technical workings with real-world ethical concerns.