Episode

What If Every Patient Had a Digital Twin? Part 2

Podcast
AI and Healthcare
Published
Jun 16, 2026
Duration seconds
1889
Processing state
not_requested
Canonical source
https://mtrudnak.podbean.com/e/what-if-every-patient-had-a-digital-twin-part-2/
Audio
https://mcdn.podbean.com/mf/web/i33mniz4yxsxgb8p/Episode_113_Part_2_AUDIO602m0.mp3
JSON
/v1/public/podcasts/ai-and-healthcare-5049686/episodes/what-if-every-patient-had-a-digital-twin-part-2
Markdown
/podcast/ai-and-healthcare-5049686/what-if-every-patient-had-a-digital-twin-part-2.md

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Summary

What happens when artificial intelligence becomes a trusted partner in patient care? Healthcare leaders are increasingly exploring how AI can help clinicians make faster, more informed decisions while reducing administrative burden and improving patient outcomes. But deploying AI in medicine requires balancing innovation, trust, regulation, and clinical judgment. In this conversation, Dr. Scott Penberthy, Dr. Lindsey Cotton, and Dr. Doug Flora explore the future of cancer care, precision medicine, digital twins, physician adoption, implementation science, and the role of AI in supporting—not replacing—clinical decision-making. From cancer screening and treatment selection to workflow automation and predictive modeling, they discuss what healthcare may look like when every clinician has access to intelligence that helps them see what was previously invisible.