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Healthcare is at a turning point, with the rapid rise of AI offering unprecedented promise. Now is the moment for bold innovation—not recycled policies. Brian Anderson, CEO and President of Coalition for Health AI (CHAI), lays out how AI can transform care and highlights new momentum in Washington to accelerate change.

What does it actually take to move from validating an AI solution to trusting it enough to deploy, monitor, and scale it across an enterprise? At CHAI’s Fall Symposium at UT REAL Health on October 6 in Austin, Texas, join us for a panel session on “From Validation to Adoption: Building Safe, Reliable AI at Scale.” Arvind Kumar, Digital Health Leader at EisnerAmper, will moderate a conversation featuring Brenton Hill (Coalition for Health AI), Katherine Eisenberg (URMC and EBSCO), Travis Bias (Solventum), and Warren D’Souza (UT Southwestern). Drawing on real-world experience across health systems and technology leaders, the panel will explore what it takes to establish practical safety thresholds, navigate local validation before enterprise rollout, and maintain continuous post-deployment monitoring and oversight. Register below.

An interactive breakout session at CHAI’s Fall Symposium on October 6 in Austin, Texas will show health system leads how to build their own AI solution in real time. Participants simply need to come with a specific clinical or operational bottleneck, and they will walk out with a custom built AI agent. Join symposium sponsor Nishith Khandwala, CEO & Co-Founder of Bunkerhill, and Dr. Peter McCaffrey, VP & Chief Digital + AI Officer at UTMB, as they walk you through how to build an AI agent designed to address your unique challenge. No technical background required. The full agenda for CHAI’s Fall Symposium is now live. Explore our sessions and register below.

What if the next big opportunity for generative AI in healthcare isn’t generating more text — but finally making sense of the text we already have? At CHAI’s Fall Symposium on October 6 in Austin, Texas, Pawan Jindal will lead “Trustworthy Extraction — Unlocking Unstructured Clinical Data with AI,” exploring how AI-powered extraction can turn clinical notes, scanned records, policies, guidelines and other unstructured content into structured, standards-based data that can power downstream applications. CHAI’s own Merage Ghane will moderate a panel discussion featuring Pawan Jindal, Joseph Izzo, Dan Johnson, Craig Norquist on how organizations are putting AI extraction into production — and what it takes to make those outputs trustworthy, auditable and reusable. Attendees will leave with a clearer understanding of the difference between extraction and generation and how structured data can help unlock applications across clinical decision support, trial matching, prior authorization and quality measurement.

⚡JUST ADDED: FDA Director of the Digital Health Center of Excellence at the FDA, Rick Abramson, MD, MHCDS, FACR, will deliver the opening keynote at CHAI Fall Symposium on Tuesday, October 6. At the FDA, Dr. Abramson’s focus is on advancing scientifically coherent, ethically grounded, and risk-proportionate regulatory approaches for digital health technologies. Catch the opening keynote and spend the day with us at UT Health Austin’s campus as we bring together leading minds from across healthcare to explore how organizations can responsibly implement, govern, evaluate, and scale AI in real-world settings. We will be joined by leaders from Joint Commission, Meta, Duke, UT Southwestern, Solventum, UTMB and many others. With less than one month to go, save your spot by registering: [Registration link] #HealthAI #ArtificialIntelligence #HealthcareInnovation #ResponsibleAI #CHAI #UTMB

At CHAI’s Fall Symposium at UT Health Austin, join us for a timely session on “Why ‘Skills’ Are The Next Frontier For Health AI.” While most deployments today rest on individual prompts and one-off workflows, AI “Skills” apply a familiar clinical discipline to new technology — packaging durable instructions, tools, data, and evaluations into a versioned, repeatable format that can be tested, monitored, and scaled. Health Universe Founder and CEO Dan Caron will present the case for standardizing AI at the Skill level. He’ll then be joined by Anand Chowdhury (Duke Health), Yutong (Meta), and Dr. Doug Fridsma (Health Universe) for a panel discussion on: - Balancing central standardization with local adaptation across specialties and health systems - Navigating output variations and establishing evidence requirements before running AI unattended - Closing the gap between model capability and real-world clinical implementation Attendees will leave with a shared vocabulary for AI Skills, an understanding of why reproducibility is healthcare's current constraint, and a practical framework for moving AI from experimentation into production. Register to secure your spot.