Independent editorial judgment
Coverage and analysis are governed by relevance, evidence, and public interest—not commercial relationships. Sponsored work, when offered, is clearly identified and separated from editorial decisions.
About Health AI Central
The intelligence behind better health AI decisions.
We connect independent reporting, company intelligence, and evidence from scientific discovery through real-world adoption—so professionals can see the full picture, not just the headline.
1,000+
Companies tracked
450,000+
Research datapoints
19
Company markets
Daily
Editorial updates
The health AI lifecycle
See what happens before, during, and after a health AI claim reaches the market.
Health AI is not one story. It moves through research, validation, regulation, and implementation. Health AI Central organizes these signals so you can follow the full path without losing the evidence that matters.
01
Science & Discovery
Publications, research signals, and the scientific work that establishes what is possible.
02
Clinical Validation
Clinical trials and evidence that show whether a technology works in practice.
03
Regulatory Clearance
FDA pathways and policy developments that determine how technology reaches care.
04
Market Adoption
Medicare, provider adoption, company activity, and the realities of implementation.
Built for informed action
Different questions. One accountable source of context.
The platform is designed to make it easier to evaluate what matters in your work, without making you reconstruct the landscape from fragmented sources.
For clinicians & health-system leaders
Separate meaningful clinical signals from marketing noise, and understand what evidence, policy, and adoption patterns mean for care delivery.
Explore clinical validationFor industry & policy professionals
Follow the companies, regulation, research, and operational shifts shaping the health AI landscape with context that connects the moving parts.
Read latest coverageFor researchers & builders
Trace the journey from publication to clinical evidence, regulatory clearance, and real-world adoption—without losing the source behind the claim.
Explore research intelligenceOur purpose
Intelligence is only useful when it improves judgment.
Artificial intelligence is changing how evidence is generated, how clinicians work, and how health systems decide what to adopt. The pace is extraordinary, but the signal-to-noise ratio is often poor.
Innovation alone is not enough. Health AI must be ethical, unbiased, equitable, transparent, and safe if it is going to improve population health. We exist to make the information needed to hold the industry to those standards more accessible.
We pair timely reporting with structured intelligence so readers can move from a claim to its context, source, and implications—without treating complexity as a reason to accept hype.
Founder's note
Built to connect the dots—because the dots matter.
I built Health AI Central because I needed a better way to understand the field myself. Meaningful information was scattered across research publications, clinical-trial records, regulatory databases, company announcements, and specialist reporting. There was no single place that connected the story to the evidence behind it.
The first version was a personal research tool. It became a broader commitment: to build an independent intelligence resource for professionals who need to navigate health AI with rigor, context, and a clear view of its consequences for care and population health.
Today, Health AI Central is growing beyond a news site into an intelligence hub that follows the health AI lifecycle from discovery to adoption. The work is ongoing, and reader feedback makes it better.
Billy Oglesby, PhD, MBA, MSPH, FACHE
Founder, Health AI Central
Trust architecture
Editorial standards you can inspect.
Credibility is not a badge. It is a practice: transparent sources, independent judgment, clear corrections, and a willingness to distinguish evidence from assertion.
Traceable claims
We work to connect factual claims to the primary source, regulatory record, study, or reporting that supports them. Context matters as much as a headline.
Corrections with accountability
When we get something wrong, we correct the record promptly and transparently. Readers can send corrections or source concerns directly to the editorial team.
Start with what is open
Read the reporting. Explore the evidence. Then decide what you need.
News coverage and core discovery are available without a membership. Membership adds deeper access for readers who need more context, more research, and a more personalized way to follow the landscape.
Get in touch
A correction, question, or source worth seeing?
We welcome feedback that improves the work. Route your request to the right team, and we will make sure it reaches the appropriate editor or support contact.
Press & editorial
Media inquiries, news tips, corrections, and editorial requests.
press@healthaicentral.comPartnerships
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partnerships@healthaicentral.com