Healthcare's Dangerous AI Experiment: Deploying Technology Without Evidence
Nearly 90% of U.S. health systems have integrated artificial intelligence into clinical workflows, yet evidence proving these tools actually improve patient outcomes remains remarkably scarce. A landmark JAMA report reveals a troubling reality: healthcare is deploying AI algorithms faster than medicine's ability to measure their effectiveness, creating what amounts to an uncontrolled experiment on patients. Former FDA Commissioner Robert Califf's stark assessment underscores the urgency: not a single health system in America possesses the capability to properly validate the AI algorithms now embedded in clinical care.
Falls among older adults cost the U.S. healthcare system $80 billion annually, yet access to intensive balance rehabilitation remains limited. Researchers at Michigan Medicine have developed machine learning models that analyze data from wearable sensors to replicate physical therapist assessments of balance training performance, potentially revolutionizing home-based rehabilitation. This breakthrough addresses a critical gap in care delivery while maintaining clinical accuracy comparable to in-person evaluation.
Kentucky Confronts the Dual Reality of AI in Mental Health: Innovation Meets Urgent Safety Concerns
As Kentucky's Artificial Intelligence Task Force examines the profound impact of AI chatbots on mental and behavioral health, the state finds itself navigating a complex landscape where promising therapeutic innovations collide with mounting evidence of patient harm. With mental health professionals demanding immediate regulatory action following teen suicides linked to AI companions, Kentucky exemplifies the national struggle to balance technological advancement with patient safety in one of healthcare's most vulnerable domains.
The Bitcoin Mining Pivot to AI Data Centers: Implications for Healthcare's Computing Infrastructure Crisis
As Bitcoin miners rapidly convert energy-intensive facilities into artificial intelligence data centers, healthcare organizations face a critical question: can this unprecedented shift in computing infrastructure address the sector's growing AI implementation challenges? While the transformation promises accessible high-performance computing capacity, healthcare's stringent regulatory requirements and unique operational demands may complicate adoption of these repurposed facilities.
The Profanity Workaround: Why Healthcare Professionals Are Swearing at Google's AI
A viral social media trick reveals that adding curse words to Google searches disables AI Overviews—and healthcare professionals have compelling reasons beyond annoyance to adopt this workaround. As AI-generated medical summaries proliferate atop search results, concerns about accuracy, source transparency, and clinical reliability are prompting clinicians to seek alternatives to algorithmic answers, even if it means compromising search decorum.