Mean heart rate is one of the most familiar numbers in medicine. Useful, immediate, and often enough for a first description. Yet every average carries the same defect: it compresses into a single value everything that happened over time. Two patients can share a mean of 70 beats per minute (bpm) and, across the same … Read more
A reproducible 300-question evaluation across medical exams, biomedical literature, multilingual question answering, and clinical calculation Meta released Muse Glimmer on 10 August 2026: thirty billion parameters, open weights, built for agentic work on consumer hardware.[1,2] I tested a quantized version five days later on a single NVIDIA RTX 3090 — partly because it was the … Read more
Vasoactive-Inotropic Score as a Worked Example Introduction: The Data Is There. The Variable Is Not. Every conversation about clinical AI opens on the same premise: hospitals are sitting on enormous quantities of data. True enough, and almost useless as a starting point. An electronic health record is a transactional system, built for documentation, for billing, … Read more
Hunting for the largest language model you can run on a personal computer has turned into a discipline of its own. Forums, repositories and social feeds circulate configurations that load models of 70, 120, even several hundred billion parameters, using consumer GPUs, generous amounts of system RAM and increasingly aggressive quantisation. The results are frequently … Read more
There is a specific moment, familiar to anyone who has gone down this road, when you finish downloading a model with “Med” in its name and realise you have no idea whether it is actually any good. The name promises domain expertise. The model card promises benchmarks. Neither tells you what happens when you ask … Read more
The most compliant place for a patient’s record to meet a large language model might be a machine sitting under your own desk. That sounds like a provocation. It is closer to a legal observation. In May and June 2026 the European Union rewrote part of its own AI rulebook, and most of the coverage … Read more
Article authored by Michele D. Pierri, MD Cardiac Surgeon & Medical Technology Researcher Last updated: July 2026 Reading time: 5 minutes Ten patients. Zero recurrences. That’s the headline buried inside a small New England Journal of Medicine report that, frankly, deserved more attention than it got. In April, a Johns Hopkins team used personalized “digital … Read more
Upgrading a local AI workstation from an RTX 3060 12GB to an RTX 3090 24GB with real-world LLM, Flux and Whisper benchmarks. Article authored by Michele D. Pierri, MD Cardiac Surgeon & Medical Technology Researcher Last checked: June 10, 2026 Reading time: 5 minutes There are days when you don’t go to the operating room. … Read more
From passive Q&A to autonomous agents that debate, challenge, and assist clinicians. Article authored by Michele D. Pierri, MD Cardiac Surgeon & Medical Technology Researcher Last updated: June 2026 Reading time: 15 minutes Key takeaways 1. Redefining AI in Medicine: What Is an Agentic System? The first wave of AI in healthcare gave us chatbots. … Read more
ChatGPT for Clinicians: A First Look from Italy Article authored by Michele D. Pierri, MD Cardiac Surgeon & Medical Technology Researcher Last checked: April 28, 2026 Reading time: 7 minutes OpenAI has rolled out a set of healthcare-oriented products built around ChatGPT. The headline reads, at first, like the launch of a single “medical GPT” … Read more