About
About AI in Healthcare
AI in Healthcare is an independent publication reporting on the use of artificial intelligence in clinical practice, healthcare research, and health policy. We were founded in 2026 by a small editorial team frustrated by two adjacent problems: healthcare AI coverage in the general press tends to swing between hype and dread, and the trade press that gets the technical details right often reads like a vendor's press-release feed.
We aim to sit in between. Our audience is the clinician who has been handed a new "AI-enabled" scanner or scribe and wants to know what it actually does, the compliance officer trying to translate an FDA 510(k) summary into a procurement question, the health-system executive wondering whether the ambient-AI vendor's ROI slide holds up, and the engineer building the model who cares about how it will be used, not just how it was trained.
What we publish
- Articles — long-form reporting and analysis on FDA clearances, health-system deployments, payer and reimbursement policy, clinical evidence, workforce impact, and the regulation shaping all of it. Every article carries a byline, a published date, and a "last updated" line so readers can tell when the piece was last checked against reality.
- News updates — short, source-attributed dispatches about new research, regulation, product launches, and safety incidents. Every news item links to a primary source (agency page, company blog, peer-reviewed paper, court filing) and carries our own commentary on why it matters.
- Topics — hub pages that summarize the state of play in a specific corner of the field (ambient scribes, medical imaging AI, payer AI, clinical LLMs, and so on) with links into our reporting.
- Glossary — plain-English definitions of the acronyms and regulatory shorthand that dominate this space (SaMD, PCCP, 510(k), De Novo, HIPAA BAA, RUAIH, and the rest).
- Conferences — a calendar of upcoming and past events where AI-in-healthcare practitioners actually gather, curated so it doesn't fill up with generic AI or generic healthcare conferences that don't cover the intersection.
How we work
Our editorial approach is documented in full on our editorial standards page. In short:
- We write original analysis. We do not paste from press releases; when we quote a source we cite it and link the primary document.
- We disclose conflicts. Our disclosures page lists paid partnerships, affiliate links, and any relationships that could influence coverage. Any affiliate link inside an article is marked at the point of use.
- We correct errors. If we get something wrong, the article carries a dated correction note at the top and the change is tracked in the "last updated" line.
- We do not run editorial coverage in exchange for advertising or sponsorship. Display advertising, if enabled, is served through standard networks and clearly labeled; it does not steer what we cover.
Who writes here
Articles are currently bylined AI in Healthcare Editorial. We are a small team and expect to move to named bylines as we grow the masthead. If you are an industry expert — clinician, regulatory specialist, health-system CIO/CMIO, health-policy researcher, or practicing ML engineer working on clinical systems — and want to contribute, we would like to hear from you.
Contact
Editorial pitches and story leads: editorialaihealthcarenewstoday@gmail.com. Corrections and factual disputes: corrections@aihealthcarenewstoday.com. Advertising inquiries are handled separately and do not touch editorial; see the ad policy. To report an ad, use the report-ad form.
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Independence and ownership
AI in Healthcare is independently owned. We are not part of a health-system, EHR vendor, insurer, or AI company, and we do not accept equity or advisory relationships from companies we cover. If that ever changes, it will be disclosed here and on the disclosures page before any coverage runs.