Dr. med. KI - Künstliche Intelligenz in der Medizin

In this second episode with Dr. Ozanan Meireles, we dive into the exciting future of AI in surgery and healthcare. We explore whether science fiction ideas, like augmented reality in the operating room or AI-driven robots in surgery, could become reality in the near future. We also discuss how AI in surgery has the potential to democratize surgical knowledge, reduce healthcare costs, and examine whether stricter regulations might hinder innovation and the integration of AI into medicine.

In this episode, we are thrilled to welcome Dr. Ozanan Meireles, the inaugural Vice Chairman of Innovation at Duke University School of Medicine’s Department of Surgery, Surgical Director of Duke AI Health, and leader of the Surgical AI and Innovation Laboratory (SAIIL). Dr. Meireles is a leading expert in the development and application of minimally invasive techniques in gastrointestinal surgery. Together, we discuss the comprehensive integration of AI into surgical practice, transforming the operating room with real-time analysis of surgical videos that enhances precision, patient care, resource allocation, and boosts overall surgical efficiency.

Ayomide Owoyemi shares how his experience as a clinician and public health physician led him to explore the transformative power of AI in healthcare. His work includes the development of a COVID-19 triage tool and an insurance recommendation system for Nigeria. In this episode, you’ll discover the unique challenges facing Nigeria’s healthcare system and how innovative AI tools can be designed to effectively address these hurdles.

Tafadzwa Munzwa, CEO of Dawa Health, shares his personal experience as an entrepreneur in Africa and the role grants played in funding his health-tech startup. We discuss the challenges of bias in maternal care and how AI tools can be adapted to better serve African communities.

In this episode, we sit down with Tafadzwa Munzwa, CEO of Dawa Health, an innovative AI-driven health-tech startup based in Zambia. We explore the challenges of maternal care in Sub-Saharan Africa, particularly in rural areas, and delve into how DawaHealth’s AI system is helping to address these issues. Tafadzwa shares how the platform detects at-risk expectant mothers, offering a new, mobile approach to improving maternal health across the region.