Expert insights, guides, and stories about health 
The hype around diagnostic AI is deafening, but for anyone who’s been around long enough, it feels a lot like déjà vu. The way modern…
The time’s up for “black-box” algorithms making critical healthcare decisions inside electronic health records (EHRs). A new federal mandate, the ONC HTI-1 Final Rule, is…
The collapse of Babylon Health in 2023, once valued at $4.2 billion, with its UK assets eventually sold for £500,000, serves as a stark reminder…
The healthcare artificial intelligence landscape, brimming with promise and investment, has also become a graveyard for ventures that prioritized hype over evidence. The cautionary tales…
The promise of artificial intelligence in healthcare is vast, yet the chasm between general-purpose AI and clinically validated solutions remains dangerously wide. A critical incident,…
The narrative of AI in healthcare is often painted with broad strokes of transformative potential, yet the critical examination of clinical evidence frequently lags behind…
The hype around AI in healthcare is real, but the race to adopt clinical AI solutions is creating a minefield of liability. These risks are…
AI was pitched to healthcare as a tool for efficiency, but its rollout in prior authorization is now a source of huge controversy. When you…
When it comes to allocating healthcare resources, algorithmic bias is a direct threat to equitable care and a major headache for digital health innovators facing…
Automated sepsis alerts look like a critical lifeline on paper, promising to spot deadly infections faster than any human can. The reality of deploying these…
Investors see the obvious appeal of remote patient monitoring (RPM) in cardiology: a massive total addressable market (TAM) thanks to chronic disease and the promise…
Generative AI in healthcare is getting a lot of attention for its potential to fix administrative headaches, and for good reason. But the jump from…
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…
