Translating AI to Clinical Practice: From Data to Impact

Artificial intelligence is reshaping healthcare and medicine, creating unprecedented opportunities to improve diagnosis, treatment, and patient outcomes. But how do we bridge the gap between breakthrough algorithms and real-world clinical impact? This track brings together leading researchers, clinicians, and industry experts to explore the innovations, partnerships, and practical steps needed to translate AI into healthcare.

The session will open with a keynote on the state of AI in medicine, the transformative possibilities ahead, and the challenges that must be overcome to achieve widespread adoption. A series of talks will then follow the translational journey, from cutting-edge AI research and advances in medical imaging, to clinical implementation and industry perspectives on developing and scaling AI solutions. The track will conclude with an interactive panel discussion, giving attendees the opportunity to engage directly with the speakers and explore the future of AI in healthcare. Together, we will build a shared understanding of the scientific, clinical, and translational challenges of AI in healthcare, and the collaborations needed to turn innovation into lasting impact.