Artificial intelligence (AI) and machine learning (ML) are transforming healthcare, with exciting opportunities in pain medicine. But with these advancements come challenges: misconceptions, pitfalls, and the need for careful integration into clinical care. That’s precisely what the PainConnect session, “Barriers, Pitfalls, and Opportunities of Artificial Intelligence and Machine Learning in Pain Research and Clinical Care,” led by Drs. Antje Barreveld, Shravani Durbhakula, and Beth Hogans, aims to address.
What to Expect
This expert-driven session delves into the foundations of AI and ML in pain medicine, offering practical guidance for clinicians and researchers. Attendees will explore:
- Data-driven Insights: How ML can uncover patterns in pain pathophysiology and improve patient stratification and diagnosis.
- Generative AI Tools: Strategies for using AI to answer complex research and clinical questions.
- Patient-Facing Applications: How AI-powered tools enhance chronic pain management.
Dr. Tinglong Dai, as featured on AAPM’s Pain Matters podcast, sums it up perfectly: “AI will not replace physicians, but physicians who use AI will replace those who don’t.”
Why It Matters
AI has the potential to revolutionize pain care, from diagnosing complex conditions to personalizing treatment plans. Yet, effective implementation depends on interdisciplinary collaboration between clinicians, researchers, and data scientists. This session equips attendees to navigate the complexities of AI, ensuring precision-based, evidence-informed approaches to pain management.
Don’t miss this opportunity to join the conversation on AI’s evolving role in pain medicine. Whether you’re a seasoned researcher or a clinician exploring AI’s possibilities, this session promises invaluable insights for the future of care.
Stay ahead of the curve. Register for PainConnect, the AAPM annual meeting today!
