The Lancet's open-access digital-health journal: AI diagnostics, pathology and radiology algorithms, prediction models and the reporting standards for them.
Fully open access since launch in 2019. Publishes external validations of cancer AI (mammography, pathology, dermatology), prediction-model studies, and methodological pieces on AI trial design and reporting (for example the CONSORT-AI and SPIRIT-AI extensions). Frequent critical reviews of the evidence quality behind medical AI.
This is the paper Europe PMC returns for registry id NCT04838756 with the most citations, so it is the natural first reading for anyone following the MASAI trial. Read the abstract above alongside the trial page and the registry entry; the record was linked automatically and its figures have not been checked by hand.
One technology page on OnCo cites this paper by its DOI; this record gives the citation a page of its own so a reader can follow it without leaving OnCo. Read the abstract above alongside the citing page listed under Related; the record was created automatically from the Europe PMC entry and its figures have not been checked by hand.
Screening programmes short of radiologists can read this as prospective evidence that a well-validated AI reader can take the second reader's seat without lowering cancer detection. It is a paired-reader study in one hospital, not a randomised trial, so MASAI and real-world follow-up carry the argument further.
This is the paper Europe PMC returns for registry id NCT04838756 with the most citations, so it is the natural first reading for anyone following the MASAI trial. Read the abstract above alongside the trial page and the registry entry; the record was linked automatically and its figures have not been checked by hand.
One technology page on OnCo cites this paper by its DOI; this record gives the citation a page of its own so a reader can follow it without leaving OnCo. Read the abstract above alongside the citing page listed under Related; the record was created automatically from the Europe PMC entry and its figures have not been checked by hand.
Screening programmes short of radiologists can read this as prospective evidence that a well-validated AI reader can take the second reader's seat without lowering cancer detection. It is a paired-reader study in one hospital, not a randomised trial, so MASAI and real-world follow-up carry the argument further.