Modern medicine has never had greater access to imaging, patient data, computational intelligence, and tools than it does today. And yet, clinical decision-making at the point of care hasn't improved at the same pace. The conversation around clinical AI tends to default to patient dashboards or autonomous diagnosis while overlooking the fundamental challenge of how technology should actually integrate with the workflows of physicians responsible for life-altering decisions.
Prithvinath Garigapuram, CEO and Co-Founder of CARA Systems Inc., an NYU spinout building AI-assisted decision-support tools for neurovascular care, believes that the field has been solving the wrong problem. In his view, the challenge isn't merely developing AI systems capable of generating clinical predictions, but building intelligent clinical co-pilots that can contextualize complex patient-specific data and translate it into meaningful decision support for physicians in real-time.
