AmCham Slovakia

Healthcare has long harnessed the power computing – from pharmacokinetic modeling to robotic control of surgical lasers. Yet today’s advances in artificial intelligence (AI) are driving a transformative shift. We have entered an era where AI agents diagnose medical cases with physician-level accuracy, predict the structure of novel therapies, and provide patients with answers about their rare diseases. This discussion will cover emerging areas of AI in healthcare including examples of benchmarking AI agents for safe in-clinic and at-point-of-care use, predicting therapeutic targets from clinical and computational crowds, and optimizing human-AI interactions (e.g., patient-AI, clinician-AI).

Illustrative AI healthcare ecosystems include the introduction of clinician-trained AI decision support for trauma and emergency care; offline AI systems for medical care in under-resourced and extreme environments; the development of AI advocates for individuals recovering from stroke and brain injury; and harnessing the wisdom-of-the-crowds to predict the best chemotherapy for an individual and identify common molecular targets in pediatric and adult leukemias. In the examples provided, interdisciplinary, cross-sector teams enable a 'human-in-the-loop' AI design that prioritizes accuracy and transparency.

• Dr. Amina Qutub, Burzik Professor in Engineering Design and Associate Professor in Biomedical Engineering at the University of Texas, San Antonio

Language: English