Corrections

Report an incorrect classification, summary, or link.

Automated tagging and summarization make mistakes. Flagging them is the fastest way to get them fixed — for you and everyone else reading the feed.

What you can report

Incorrect classification

An article is tagged with the wrong subspecialty, organ site, or article type — or is missing a tag it should have.

Summary error

An AI summary is inaccurate, misleading, or omits an important caveat from the abstract.

Metadata error

Wrong title, authors, journal, date, or open-access status compared with the original PubMed record.

Broken link

A PubMed, DOI, or open-access link does not resolve or points to the wrong article.

How to report it

Use the feedback form below. If you can, include the article title or PubMed ID (PMID) and a short note on what is wrong and what it should be — that lets us reproduce and fix it quickly. A reply email is optional.

What happens next

Reports are reviewed and, where the issue is in data or classification logic we control, the underlying record or rule is corrected on the next refresh. Some errors originate in the source PubMed record and can only be corrected upstream; in those cases we correct what we can on our side and link to the authoritative source. Our broader approach to corrections is described in the Editorial Policy.

Send Feedback

Bug reports, feature requests, or general thoughts — all welcome.

Send Feedback

Bug reports, feature requests, or general thoughts — all welcome.