Artificial Intelligence Breakthroughs in Pain Practice Explored at Becker´s 2025 Panel

Join leaders in pain management as they discuss the latest Artificial Intelligence innovations and challenges at Becker´s 22nd Annual Spine, Orthopedic and Pain conference.

Becker´s 22nd Annual Spine, Orthopedic and Pain conference will feature a panel titled ´E. AI Innovations in Pain Practice: Breakthroughs and Challenges,´ scheduled for Friday, June 20, 2025, from 11:40 AM to 12:20 PM. This session aims to highlight the transformative role of Artificial Intelligence in pain management, focusing on both recent technological breakthroughs and the hurdles facing clinical adoption.

The panel brings together leading experts in the field, comprising Dr. Kimberley Haynes-Henson, Associate Director of the Pain Medicine Fellowship and Medical Director of the Pain Management Program at the University of Nebraska Medical Center; Dr. Samer Narouze, Professor and Division Chief of Pain Management at University Hospitals Cleveland Medical Center; and Dr. Lee Fleisher, Emeritus Professor and former Chair of Anesthesiology and Critical Care at the University of Pennsylvania Perelman School of Medicine, who also previously served as CMS Chief Medical Officer and Director of the Center for Clinical Standards and Quality at the Centers for Medicare & Medicaid Services. These clinicians and scientists will share evidence-based insights on how Artificial Intelligence is reshaping diagnostics, treatment planning, and outcomes within pain practice.

The discussion will take place in Montreux 1 at the conference venue and is organized as a panel format, ensuring a dynamic exploration of the topic. Moderating the session is Giles Bruce, Assistant Editor at Becker´s Healthcare, who will facilitate an in-depth exchange about the promises and limitations of Artificial Intelligence in pain management. Attendees can expect to engage with thought leaders on pressing questions related to regulatory considerations, ethical challenges, and practical integration into clinical settings, equipping practitioners and healthcare stakeholders with a clearer vision of Artificial Intelligence´s future in pain medicine.

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