Douglas Flora, Executive Medical Director of Yung Family Cancer Center at St. Elizabeth Healthcare, President-Elect of the Association of Cancer Care Centers, and Editor in Chief of AI in Precision Oncology, shared a post on LinkedIn by tensorblack, adding:
“New Episode Alert! Episode 106 of the AI and Healthcare by TensorBlack podcast is live!
Join our growing community! We are approaching 85k subscribers with nearly 5M downloads across 120+ countries. We drop deep dives like this every two weeks—don’t miss out.
We can all use more Sanjay Juneja, M.D. in our lives, right?!
This is one of the most critical conversations we’ve had yet. We are tackling Clinical AI Governance: the frameworks, guardrails, and leadership needed to responsibly bring AI into patient care.
A huge thank you to our incredible panel for breaking this down:
- Lindsey B. Cotton
- Amar Rewari, MD, MBA, FASTRO
- Debra Patt, MD, PhD, MBA
In this episode, we balance innovation with safety and discuss:
- How do we balance innovation with patient safety?
- What does effective governance actually look like in real-world clinical settings?
- Who owns accountability when AI influences diagnosis, treatment, or outcomes?
- How can health systems scale AI without introducing bias or unchecked risk?
Head over to TensorBlack.ai to subscribe and learn more.
While you’re there, sign up for our free resources:
- Our TLDR Newsletter (OncoPulse)
- Free AI in Oncology Academy, and more.
All content is free thanks to our generous sponsors. Reach out if you’d like to partner with us!”
Quoting tensorblack’s post:
“New Episode Alert! – Episode 106 of the AI in Healthcare by tensorblack podcast just dropped today, and it’s one of the most important conversations we’ve had yet.
Lindsey B. Cotton, Amar Rewari, MD, MBA, FASTRO, Debra Patt, MD PhD MBA, Sanjay Juneja, M.D. tackle Clinical AI Governance: the frameworks, guardrails, and leadership needed to responsibly bring AI into patient care and discuss:
- How do we balance innovation with patient safety?
- What does effective governance actually look like in real-world clinical settings?
- Who should own accountability when AI influences diagnosis, treatment planning, or outcomes?
- How can health systems scale AI without introducing bias, errors, or unchecked risk?
If you care about the future of AI in medicine, this episode is a must-listen.
Watch/Listen to the full episode.
Let us know in the comments: What’s the biggest governance challenge you see in deploying clinical AI today?”
Proceed to the video attached to the post.
More posts featuring Douglas Flora.