Cardiac Undertriage: AI Fails 11% in US EDs 2026
Cardiac undertriage in US EDs: 11% of cases are misclassified by AI. See why current tools fail and how to reduce delays by 20%.
Medical Errors: 2026’s Preventable Harm Revealed
Diagnostic errors cause nearly 30% of medical harm. See why, plus how communication, staffing, and tech integration impact patient safety.
Cardiac Emergencies: Halving Undertriage by 2026
Stop missing critical cardiac emergencies. Implement 4 key strategies, including AI tools and quarterly training, to cut undertriage by 50%.
WHOOP’s FDA Warning: The SaMD Line for Cardiac AI Investors
The line between a wellness feature and a regulated medical device is surprisingly easy to cross in AI health tech, and for product teams, buyers,…
Healthcare AI’s Bias Problem: A Billion-Dollar Blind Spot
The hype around AI in healthcare is huge, we’re told it will help doctors, make diagnostics easier, and improve patient outcomes. But the road to…
FDA’s First AI Warning: What the Purolea Case Signals for Investors
AI is showing up everywhere in healthcare, from drug manufacturing lines to the apps on a patient’s phone, and the U.S. Food and Drug Administration…
Automation Bias: The Hidden Risk in Clinical AI Adoption
AI is supposed to help us work faster and be more accurate in the clinic, but there’s a catch. We’re all susceptible to “automation bias”,…
FDA’s General Wellness Shift: De-Risking AI for Investors
The world of digital health regulation is anything but static, especially where it smashes into the fast-moving front of AI. If you’re on a product…
AI Health Claims: What VCs Must Ask Before Investing
AI in healthcare has a lot of potential, but getting it to work safely is a messy, complicated business. If you’re a buyer or a…
nH Predict Lawsuit: AI’s Impact on Healthcare & Investment Risk
The rise of AI in healthcare brings big promises, but it’s also creating massive legal and ethical headaches around patient care and regulation. This tension…