brianletort.ai

AI Transformation Library

See how AI changes the work.

102 real-world cases. What changed, what improved, and where people still decide.

CardsTable

10 cases

1–10

Every mammogram flowing to two readers contrasts with a larger single-read lane and a smaller double-read lane.

Capital Region of Denmark mammography screening programme

verified evidence

33.5% fewer radiologist screening reads

HealthcareHealthcare screening
A family waiting for a separate eye appointment contrasts with retinal imaging performed during an existing clinic visit.

Johns Hopkins Children's Center / Johns Hopkins Medicine

verified evidence

Eye-exam completion: 22% → 100% in the control arm

HealthcareHealthcare screening
An editorial scene for The Permanente Medical Group contrasts conducts the visit while taking notes or reconstructs the encounter afterward. with transcribes the encounter without retaining audio and generates a draft clinical note. in the ambient ai draft-note generation during patient encounters workflow.

The Permanente Medical Group

verified evidence

3,442 physicians used the tool in 303,266 encounters; 968 used it in at least 100 encounters.

HealthcareHealthcare screening
An editorial scene for UCLA Health contrasts conducts the visit and writes the note in the ehr. with records the conversation and generates a draft note. in the randomized deployment of dax and nabla ambient ai scribes workflow.

UCLA Health

verified evidence

Nabla arm fell from 4:30 to 3:49; a 9.5% greater reduction than control.

HealthcareHealthcare screening
An editorial scene for Deutsche Bahn contrasts physically walks around and climbs onto trains to inspect for damage. with capture exterior, underbody, and roof imagery as the train enters the plant. in the e-check camera-gate, ai diagnostics, and robotic inspection workflow.

Deutsche Bahn

reported evidence

One and a half hours with the digital E-Check; camera-gate traversal takes about five minutes.

Transportation & logisticsHealthcare screening
An editorial scene for German organised mammography screening programme (PRAIM implementation study; 12 sites) contrasts independently double-read four-view mammograms without ai predictions. with tags confident-normal cases and fires a localization safety net when humans call suspicious cases normal. in the ai-supported double reading with normal triaging and a post-read safety net (vara mg) workflow.

German organised mammography screening programme (PRAIM implementation study; 12 sites)

verified evidence

6.70 per 1,000 in the AI-supported group; +17.6% (95% CI +5.7% to +30.8%) after overlap weighting

HealthcareHealthcare screening
An editorial scene for United Kingdom Serious Fraud Office contrasts reads documents to identify material potentially covered by legal professional privilege. with screen privilege content, categorize files, identify patterns, and remove duplicates. in the ai legal-privilege screening and investigative document analysis workflow.

United Kingdom Serious Fraud Office

verified evidence

The pilot processed up to 600,000 documents per day, described as 2,000 times faster.

Government & public servicesHealthcare screening
An editorial scene for Allegheny County DHS contrasts receives an eligible general protective service referral and reviews allegations and available county records. with uses administrative data to produce a 1–20 future-placement risk score for eligible referrals. in the afst risk-assisted investigation screening workflow.

Allegheny County DHS

verified evidence

Improved identification and modest reduction in racial disparity in case openings

Government & public servicesHealthcare screening
An editorial scene for Tempus AI TIME / TriHealth Cancer Institute contrasts screens available patients against non-time trial criteria and confirms possible eligibility. with re-runs eligibility searches when patient data or trial criteria change and produces candidate matches. in the population-scale matching with rapid activation workflow.

Tempus AI TIME / TriHealth Cancer Institute

verified evidence

37 days TIME; 80% reduction

HealthcareHealthcare screening
An editorial scene for Google DeepMind contrasts select candidate structures and run high-cost stability calculations. with predict energies and identify candidate stable structures at large scale. in the gnome graph-network crystal stability discovery workflow.

Google DeepMind

verified evidence

2.2 million structures stable relative to prior work; 381,000 entries on the updated convex hull

Science & researchHealthcare screening
Curated collections →Evidence methodologyPublication history
AI Transformation Library | Brian Letort