Mayo Clinic
Deploying an AI ECG system to detect cardiac conditions in patients
Reported: Spotted cardiac amyloidosis in patients whose symptoms could have pointed elsewhere
Accueil › AI Use-Case Library › AI medical diagnostics: 6 real deployments
AI medical diagnostics: 6 real deployments
Imaging, pathology and monitoring models validated on live patients.
6deployments
6in production or with results
5with a reported outcome
0halted or reversed
Aug 30, 2026last updated
Diagnostic AI earns its place through prospective validation, not demos. These entries are deployments in health systems and national programmes, from sepsis prediction on live records to cancer detection years before diagnosis.
Healthcare 4 deployments
NHS England
The UK government is investing £20 million to extend AI-powered chest X-ray analysis for lung cancer diagnosis, currently available in half of England's NHS Trusts, to all NHS Trusts by 2029, with the AI acting as a virtual second pair of eyes for radiologists.
Reported: Early deployments have already helped over 4 million patients receive faster lung cancer diagnoses or all-clears, cutting analysis time for complex cases from 8 days to approximately 4 days.
Johns Hopkins (five hospitals)
Five Johns Hopkins hospitals prospectively validated Bayesian Health's TREWS algorithm, which runs continuously against live EHR streams to flag sepsis before clinicians do.
Reported: 82% sensitivity; documented 18% relative mortality reduction when alerts were acted on within an hour.
Mayo Clinic
Mayo Clinic's REDMOD radiomics model analyzed ~2,000 routine CTs to detect pancreatic cancer up to 3 years before diagnosis, with the prospective AI-PACED trial now enrolling elevated-risk cohorts.
Reported: flagged 73% of prediagnostic cancers at a median 16 months pre-diagnosis, roughly double unaided specialist sensitivity; 19% false-positive rate (81/430 controls flagged)
Government & Public Sector 2 deployments
Taiwan National Health Insurance Administration (NHIA)
Taiwan's NHIA runs Google's open-weight MedGemma model on 30,000+ pathology reports for lung-surgery planning.
Government of India (eSanjeevani)
India's eSanjeevani national telehealth service runs AI-assisted teleconsultations at population scale, including AI-enabled TB detection inside the National TB Elimination Programme.
Reported: 282 million AI-assisted teleconsultations processed; AI-enabled TB detection has cut adverse outcomes by 27% inside the National TB Elimination Programme
Every entry names the organisation and links its source. Outcome figures are quoted as reported, never estimated. Vendor announcements without a named customer are excluded. Halted and reversed deployments are kept on purpose.