Start with the source
Keep the original URL, publication details, source identifier, retrieval date, and evidence type. Link corrections and version notes when known.
ABOUT CLINICALAI.ORG
ClinicalAI.org brings together public evidence and professional experience to make healthcare AI decisions easier to understand.
THE PURPOSE
AI initiatives involve more than a model. Clinical needs, workflow, evidence, data, funding, accountability, and the people affected all shape the decision.
This project provides a common structure for that conversation: source-linked research briefs, decision cases, practical tools, and scoped expert contributions across the health system.
Clinical specialties and enterprise functions are both first-class parts of the collection. The framework includes areas that have yet to receive their first source brief, so the gaps stay visible.
FOUNDED BY TRAVIS FOEGLER
Travis brings experience in healthcare AI marketing, stakeholder communication, and making complex products understandable. His role here is to develop the editorial structure, connect contributors, and make the resulting knowledge useful.
Clinical and technical interpretations are attributed to their sources and to contributors with relevant experience. The project’s credibility is built through that work.
EDITORIAL METHOD
Keep the original URL, publication details, source identifier, retrieval date, and evidence type. Link corrections and version notes when known.
Distinguish measured results, reported experience, projected value, and editorial questions. A useful question is not a new clinical claim.
State what the design, population, comparator, setting, or available information does not establish. A null result can be a useful lesson.
Connect interpretation to a person, a relevant area of experience, a review scope, a date, and relevant relationships.
Imported records enter an editorial queue. Summaries, findings, limitations, and practical questions are completed before publication.
Invite corrections, newer sources, and additional experience. Editorial actions retain an activity history in the workspace.
| Label | What it tells you |
|---|---|
| Imported record | Metadata was brought into the workspace. Publication type and findings still need assessment. |
| Public-source brief | An editorial summary points to a published source and identifies its limitations and practical questions. |
| Public-source study synthesis | A decision case organizes published research. It does not imply an interview, partnership, or firsthand account. |
| Expert review open | No external expert review has been published for the record. |
| Contributor review | An approved contributor has added a named, scoped interpretation. That review does not certify the product or its use. |
| Editorial annotation | An editor has added attributed context. It is separate from external expert review. |
EXTERNAL DATA & SHARED EXPERIENCE
The first collection contains 24 source briefs and 10 decision cases. The workspace supports on-demand discovery through PubMed, Europe PMC, ClinicalTrials.gov, and Crossref, alongside structured manual imports.
Source services provide metadata. An editorial process supplies the summary, relevance, limitations, and context. Registered studies remain distinct from completed research.
See where the collection standsThe presence of a study, organization, or product in the collection does not indicate a partnership or endorsement. Contributors disclose relevant relationships. Vendor involvement in a case should be identified along with the source of each account.
ClinicalAI.org is an independent educational project. A record is a resource for understanding a decision; responsibility for clinical, technical, and organizational decisions stays with the people making them.
Saved briefs and collections are tied to your signed-in account. Editorial submissions and contributor profiles are available to the editor for review. A public contributor profile requires consent. The initial site is private while its first version is reviewed.
A useful contribution can be a source, a question, a correction, or a specific lesson from practice.