Clinical AI Minus the Hype: Trust, Trials, and the Tech We Need Now with Dr. Ravi Parikh

We often hear clinicians talking about how AI is helping them deliver better care, but not enough people are asking how. In this episode, we’re joined by someone who understands both sides - Dr. Ravi  Parikh, medical oncologist and Director of the Human-Algorithm Collaboration Lab (HACLab) at Emory University and Winship Cancer Institute. We unpack what responsible AI adoption really looks like inside oncology practices - from evaluating tools and measuring outcomes to defining the standard of trust we should hold both clinicians and the tools they use to. If you’re a healthcare innovator or clinician, considering how you could responsibly bring AI into your practice, this is essential listening. Covered in this episode: What responsible AI governance should look like inside healthcare. Understanding the capabilities of AI tools in healthcare. The potential dangers of AI inaccuracies and how to avoid them. What really matters when choosing an AI solution as an oncologist? How structured data can help patients receive better, more attentive care. And more… If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one. LEARN MORE DeepScribe - https://www.deepscribe.ai/  CONNECT Ravi B. Parikh on LinkedIn - https://www.linkedin.com/in/ravibparikh/  Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/  LISTEN Spotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf Apple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207 YouTube - https://www.youtube.com/@deepscribeinc.5623