When I first tested BiomedCLIP on a mixed set of de-identified chest X‑rays and pathology slides from our internal sandbox, I wasn’t looking for a flashy demo. I wanted to know one thing: can this model reliably line up real clinical images with expert-level text under the constraints of HIPAA/GDPR and hospital IT? BiomedCLIP, released […]
BiomedCLIP Guide: Boost Precision in Medical Image Retrieval Read More »
When I evaluate a medical LLM for a real deployment, triage chatbot, decision-support tool, or internal research assistant, I’m not looking for cool demos. I’m looking for evidence: training data, benchmarks, reproducible scripts, and a clear risk profile. Clinical Camel and PMC-LLaMA are two of the most important open-source medical LLM families right now. I’ve
Clinical Camel vs PMC-LLaMA: Real-World Performance Test Read More »
When teams ask me about Epic AI scribe integration, they’re rarely looking for another glossy demo. They want to know: Can I ship this into production under HIPAA, keep clinicians safe from hallucinations, and actually reduce burnout without wrecking our change‑control process? In this text, I’ll walk through how I approach Epic-integrated AI scribes from
Epic AI Scribe Setup 2025: A Technical Safety Guide Read More »
When I’m asked whether a medical LLM is “ready for production,” I never answer with a single metric or leaderboard rank. In regulated care settings, I care about one thing: how the model behaves inside real clinical workflows under worst‑case conditions. That’s where the MedHELM framework comes in. Building on Stanford’s HELM initiative, MedHELM gives
MedHELM: Validate Medical LLMs for Real Clinical Use Read More »
When I first ran MedSigLIP on a batch of de‑identified chest X‑rays, what struck me wasn’t raw accuracy, it was how quickly I could prototype a clinically sensible triage system without a single task-specific label. If you’re working in a HIPAA/GDPR‑bound environment, your bar is probably the same as mine: transparent benchmarks, reproducible code, and
MedSigLIP Guide: Zero-Shot Medical Imaging in Python Read More »
When I first evaluated Meditron 70B for a hospital partner earlier this year, my goal wasn’t to chase leaderboard scores, it was to see whether this open medical LLM could realistically support clinical workflows under HIPAA, with predictable behavior and reproducible performance. Meditron 70B is one of the strongest open medical large language models available
Master Meditron 70B: Deploy & Fine-Tune Locally Read More »
When I first tested LLaVA-Med on de-identified chest X-rays from a teaching PACS, I wasn’t looking for magic, I was looking for failure modes. Could a one-day–trained multimodal model from Microsoft Research handle real clinical phrasing, non-perfect images, and ambiguous findings without hallucinating itself into medicolegal trouble? In this tutorial, I walk through how I
LLaVA-Med Tutorial: Setup Medical AI on Your GPU Read More »
When I first pulled MedGemma 4B into a clinical sandbox, my goal was simple: see if an open-weight model could survive the same red‑team prompts I usually reserve for commercial, closed LLMs. Within a weekend, I had it summarizing de‑identified oncology notes, critiquing draft radiology reports, and, just as important, clearly exposing where it still
Google MedGemma: Practical Guide for AI Engineers Read More »
When teams ask me whether to bet on AWS HealthScribe or Microsoft DAX Copilot, they’re rarely asking about “cool AI demos.” They want to know what survives IRB review, security architecture boards, and a cranky cardiologist on a double clinic. In this piece, I’ll walk through how I evaluate these two ambient clinical documentation platforms
AWS HealthScribe vs DAX Copilot: Who Wins? Read More »
Disclaimer: The content on this website is for informational and educational purposes only and is intended to help readers understand AI technologies used in healthcare settings. It does not provide medical advice, diagnosis, treatment, or clinical guidance. Any medical decisions must be made by qualified healthcare professionals. AI models, tools, or workflows described here are
Abridge vs Suki vs Ambience: Best AI Scribe 2025? Read More »