Dr. Ulas Bagci Delivers Keynote Talks on Collaborative AI Across Leading Institutions

Dr. Ulas Bagci, a leading scientist in medical artificial intelligence at Northwestern University, has been invited to deliver a series of keynote and distinguished lectures across major academic and clinical institutions on the topic “From Autonomous Agents to Collaborative AI in Radiology.”

As part of this invited lecture series, Dr. Bagci presented a Grand Rounds lecture at Northwestern University Feinberg School of Medicine, and delivered invited talks at Mayo Clinic (Jacksonville), the University of Wisconsin–Madison, and the University of South Dakota Medical School as well as Computer Science. These talks attracted large and diverse audiences, including clinicians, researchers, and trainees interested in the evolving role of AI in healthcare.

In his lectures, Dr. Bagci outlined a critical paradigm shift in medical AI—from early generations of unimodal, task-specific computer-aided diagnosis systems toward the emerging era of multimodal foundation models. He emphasized the limitations of fully autonomous AI systems and advocated for a collaborative, human-centered approach in which AI augments clinical expertise rather than replacing it.

Recognized for his extensive contributions and high-impact publications in medical AI, Dr. Bagci is widely regarded as a leading voice in shaping the future of AI-driven healthcare. His talks highlighted both the opportunities and challenges of integrating advanced AI systems into real-world clinical workflows, with a focus on trust, interpretability, and human-AI synergy.