Healthcare AI can add considerable value to patient care practices, but it can also “just add noise to an already complex system.” 

Lucy He, MD, a neurosurgeon with the Alaska Stroke Coalition, explains how the state created an AI-based alert system to streamline the timely imaging diagnosis and transfer of stroke patients across the largest and most rural U.S. state.

Due to the ceaseless rush of technological advancements into medicine, many future physicians graduate medical school underprepared for the digital healthcare environment. 

When paired with willing older adults, talking AI can administer and assess preliminary dementia tests in much the same way—and with similar effectiveness—as human specialists.

Researchers have used a state-of-the-art microscope and advanced AI to track clotting risks in CAD patients. The goal is to spot blood clots before they even happen, ensuring patients are prescribed the right therapy for their specific needs. 

Why do investors equate these companies with beautiful, mythical beasts? Because startups with such dazzling attributes are—or long were—rarely seen.

The FDA clearly sees significant potential in a new multi-protein blood test from Prevencio. The company's goal is to gain full approval and get the test in the hands of emergency departments all over the United States.

Healthcare consumers considering the use of large language AI for mental healthcare are apt to shy away from the technology if they feel it might put their privacy at risk.