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
Part 4: the conclusion of the “Local AI” series — The LM Studio surprise: same model, same hardware, 40-200x faster In Part 3, we pushed gemma4:e4b through four demanding tests. The results were impressive — excellent clinical reasoning, comprehensive summaries, working code. But the wait times were brutal: 5 to 16 minutes per response on … Read more
Part 3 of the “Local AI” series — Coding, reasoning, medical summarization, and clinical decision support Benchmarks tell you how fast a model runs. They don’t tell you if it can actually do anything useful. In Part 1 we set up Ollama, and in Part 2 we measured generation speeds. Now we push these models … Read more
Part 2 of the “Local AI” series — Benchmarks and recommendations for CPU-only inference In Part 1, we installed Ollama and ran our first local model. Now the question becomes: which model should you actually use? The answer depends on your hardware and your patience. On CPU-only systems, model size directly impacts speed — and … Read more
Part 1 of the “Local AI” series — A practical guide to running local LLMs on CPU-only consumer hardware You’ve probably heard that running AI models locally requires expensive hardware: a Mac with Apple Silicon, or a gaming PC with a high-end NVIDIA GPU. This isn’t entirely wrong — those setups are faster. But they’re … Read more
Local Artificial Intelligence in Healthcare: Promise, Privacy, and Practical Limits Article authored by Michele D. Pierri, MD Cardiac Surgeon & Medical Technology Researcher Last updated: April 2026 Reading time: 12 minutes Artificial intelligence is rapidly entering healthcare, but its adoption keeps running into the same obstacle: sensitive data. Hospitals, clinics, and research groups work with … Read more