Miami Day 1 Session : Technology Track 1

Artificial intelligence is reshaping how clinicians detect disease, plan surgery, and predict outcomes, and this session from the Vattikuti Innovation in Medicine Summit examines several fronts of that shift at once. The discussion opens with a purpose-built AI model designed to support earlier detection of pancreatic cancer, a disease where early diagnosis remains one of the greatest clinical challenges. From there, the conversation moves into surgical planning within the metaverse, exploring how virtual environments can help surgeons prepare for complex procedures before entering the operating room. Machine learning also takes center stage in a look at how outcome data can be used to build more reliable predictive models, alongside further work applying similar techniques to anticipate clinical results ahead of surgery. Together, these presentations illustrate how artificial intelligence, digital health, and data science are converging across diagnostics, planning, and outcome forecasting. Clinicians, researchers, and hospital innovation leaders will find practical insight into how these tools are being tested in real clinical and academic settings, while medical students and trainees will gain a clear view of where surgical technology is headed. The session offers a grounded look at the research and expertise driving this shift, presented by specialists actively working at the intersection of artificial intelligence and surgical care.

See more at: https://vattikutifoundation.com/videos/