
AI in healthcare, covered for the people who build, deploy, and govern it: new research, real deployments, validation, and governance. 100,000+ subscribers.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
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| Issues | 55 | Founded | 3 years ago | Last Issue | 8 days ago |
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The library of laws, regulations, standards, and frameworks my team at Pacific AI maintains for organizations deploying AI grew from 250+ legal instruments in March to 619 laws, regulations, frameworks, and standards in September 2026. Over...
Every healthcare organization runs on measurements of its patients: which members have diabetes, which care gaps are open, how many patients smoke, how sick one hospital’s patients are compared with the hospital down the road. Nearly all of...
Every clinical assertion in a regulatory-grade healthcare AI platform must preserve its source document, the exact span it came from, the model and configuration that extracted it, the confidence assigned at extraction, the conflicts detect...
Over the past two months my team benchmarked the new general-purpose privacy tools on clinical text: OpenAI’s Privacy Filter at 0.55 PHI F1, Microsoft Presidio at 0.60 to 0.85 F1 in independent peer-reviewed studies, Databricks’ ai_mask()...
An LLM can give a factually correct answer and still create legal exposure for whoever deployed it, if it answers while presenting as a licensed professional. Between January 2025 and January 2026, at least eleven US state and federal laws...
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The writers behind this newsletter.
CEO at John Snow Labs and Pacific AI, helping companies apply artificial intelligence to solve real-world problems in healthcare and life science.
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