AI in diagnostics: 5 real deployments

Deploying an AI ECG system to detect cardiac conditions in patients

Reported: Spotted cardiac amyloidosis in patients whose symptoms could have pointed elsewhere

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.

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'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)

Taiwan's NHIA runs Google's open-weight MedGemma model on 30,000+ pathology reports for lung-surgery planning.