AI in Healthcare

The week in medical AI, judged by one question: does this actually change what we do for patients? Saturday 27 June 2026. Diagnostic AI: EchoNext, among the first multi-condition cardiology AIs cleared by the FDA (23 June), reads a standard 12-lead ECG to flag six forms of structural heart disease. In its Nature validation it caught 77% of structural heart problems versus 64% for 13 cardiologists...

The week's most important developments in medical AI, and the one question that matters: does this actually change what we do for patients? Saturday, 20 June 2026. In this episode: • Diagnostic AI. Hetairos predicts 102 methylation-defined CNS tumour subtypes from a routine H&E slide. Built and validated on 9,606 patients and 11,000+ slides across 11 centres on 4 continents; from histology alone i...

This week’s AI in Healthcare update covers four key developments: an NEJM AI randomized trial finding AI literacy training did not prevent automation bias from intentionally erroneous LLM diagnostic suggestions; FDA clearance and a CMS reimbursement pathway for Bunkerhill’s AI tools quantifying coronary and aortic valve calcium on routine contrast, non-gated chest CT (with limited independent peer...

In this week's episode of  AI in Healthcare , your concise update for healthcare professionals on artificial intelligence in clinical medicine, we examine four developments from the week of April 20–27, 2026. A  New England Journal of Medicine  Perspective on Utah's AI-assisted prescription-renewal sandbox pilot — a state-regulated program with pharmacist-mediated escalation, distinct from the FDA...

In this episode of the AI in Healthcare podcast, we explore new research on using gradient-boosted models to predict coronary artery disease.  00:00 Introduction to AI in Healthcare Podcast 00:09 Gradient-Boosted Models in Coronary Artery Disease Prediction 00:47 Improving Referral Pathways with Transparent Models 01:18 Pragmatic Steps for Clinical Implementation 01:40 Key Takeaways and Recommenda...

In this episode of the AI in Healthcare podcast, we break down a new study by Jeong and colleagues that explores the impact of AI assistance on radiologist reading times and workflow efficiency. One‑line takeaway: AI assistance reduced reading time and improved throughput for bone‑age radiograph interpretation in a real‑world retrospective cohort. Reference The Impact of Artificial Intelligence on...

Join us on the AI in Healthcare podcast as we discuss into the groundbreaking development of VentAI, a reinforcement learning algorithm designed to recommend optimal ventilator settings for ICU patients. 00:00 Introduction to AI in Healthcare 00:06 VentAI: Revolutionizing Ventilator Settings 00:20 Study and Validation of VentAI 00:54 Performance and Comparison with Clinician Care 01:37 The Role of...