Mammography’s AI Failure: A Warning for Healthcare Investors
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…
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…
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…
AI offers a ton of precision for diagnosis, treatment planning, and hospital operations, but getting a model deployed is just the start of its lifecycle.…
The regulatory path for medical AI is a minefield, especially for the new wave of generative AI tools meant for clinical decision support. As these…
The temporary financial support for AI-enabled stroke triage software is drying up. As the Centers for Medicare & Medicaid Services (CMS) New Technology Add-on Payment…
AI’s promise to speed up medical image reads, clean up workflows, and improve patient outcomes is real. We’re talking about getting stroke reads done in…
The dream of autonomous diagnostic AI, where a machine gives a final medical read with no human safety net, is a powerful sales pitch for…
AI in healthcare holds great promise, yet the models actually deployed in hospitals often fail to match the performance seen in their initial clinical trials.…
The hype around artificial intelligence in healthcare is often way ahead of what’s actually been proven to work on the hospital floor. Vendors are happy…