AI’s Diabetic Retinopathy Blind Spot: Real-World Accuracy Gaps
The idea that autonomous AI could completely change healthcare for underserved communities was powerful. For diabetic retinopathy screening, where catching it early is the only…
The idea that autonomous AI could completely change healthcare for underserved communities was powerful. For diabetic retinopathy screening, where catching it early is the only…
The digital healthcare boom, especially with advanced physiological monitoring algorithms, is supposed to make patient care better. But when these sophisticated software systems, often classified…
The excitement around AI in diagnostic imaging is about speed and accuracy, and for good reason. But we’re deploying these tools with a dangerous blind…
The digital health gold rush in AI-driven remote patient monitoring (RPM) is over. For venture capitalists and digital health growth equity investors, the era of…
The old regulatory path for medical devices, designed for unchanging hardware and software, was always a terrible fit for machine learning. Any time you wanted…
Automated sepsis surveillance systems are sold on a simple idea: use algorithms to spot early organ failure, let doctors intervene sooner, and save lives. The…
The buzz around diagnostic AI, especially with generative models claiming they can spot things better than ever, feels a lot like déjà vu from 25…
When people talk about AI in healthcare, they’re usually thinking about some sci-fi scanner finding cancer early, not what we’re actually dealing with day-to-day. In…
The rush to plug Large Language Models (LLMs) into clinical workflows is understandable. The idea of an AI summarizing patient histories from an Electronic Health…
The idea of bringing advanced medical imaging like point-of-care ultrasound (POCUS) to rural clinics is a big deal, especially since they’re always struggling with staff…