Madhu Jahagirdar

Madhu Jahagirdar is a technology and healthcare innovation leader with a strong track record in digital transformation, medical imaging, AI-enabled healthcare, and enterprise product engineering. Over more than two decades, he has earned a reputation for combining deep technical expertise with a people-centric leadership approach—excelling at solving complex, large-scale challenges while fostering curiosity, innovation, and teamwork.

His career includes a transformative 17-year journey at Philips, where he grew from engineer to business leader, helping shape healthcare solutions designed to improve patient outcomes and human experiences. In his current role at DeepHealth—the AI and informatics division associated with RadNet—he leads the advancement of AI-enabled radiology workflows, building unified, cloud-native imaging platforms that enhance radiologist efficiency, streamline workflow orchestration, and improve patient care experiences.

An alumnus of the MIT Sloan School of Management, Madhu has also pursued executive education in finance at the University of Chicago Booth School of Business. An active contributor to industry conversations on trustworthy and scalable healthcare AI, he is driven by a vision to reduce clinician burnout, improve diagnostic turnaround times, democratize access to radiology expertise, and advance responsible AI adoption, interoperability, and human-centered innovation across the healthcare ecosystem.