AI-Assisted Infrared vision robotics for postoperative assessment (Tele rounding).

Title : AI-Assisted Infrared vision robotics for postoperative assessment (Tele rounding).

Abstract:

This session will explore the integration of AI-driven infrared imaging and robotics to revolutionize postoperative care through telerounding. Dr. Brioschi will demonstrate how robotic-assisted thermal analysis can help identify complications at an early stage, improving patient outcomes and streamlining remote monitoring. The presentation will highlight recent advancements in AI algorithms and infrared technology, showcasing how these innovations have enhanced precision medicine and surgical recovery. With real-world case studies, Dr. Brioschi will discuss the potential for these systems to reduce hospital readmissions, improve care efficiency, and set new standards for post-surgical assessment in a global healthcare landscape.

Biography:

Marcos Leal Brioschi is a recognized leader in the field of medical thermography and AI-assisted imaging techniques. As Chairman of the American Academy of Thermology and a researcher at Harvard T.H. Chan School of Public Health, Dr. Brioschi has contributed extensively to advancing infrared technology in clinical and surgical settings. His groundbreaking work in postoperative thermal imaging has been published widely, and he has presented at numerous international conferences. Dr. Brioschi's expertise in merging AI and infrared vision technologies continues to shape the future of precision medicine and postoperative care.