For how we live.
In a prospective African validation, TB-detection AI matched radiologists but neither hit the WHO sensitivity target. In an Indian field programme, AI-led screening lifted case-finding sharply.
The first randomised trial to report interval cancers found AI non-inferior to double reading, with higher sensitivity at equal specificity. Across three European programmes the extra detection is about one per 1000.
Researchers built an AI pipeline to convert decades of narrative reports into one modern TNM staging system, reaching 95% accuracy for tumour classification in an expert-labelled test set.
Six randomised trials found no benefit from immediate imaging over usual care. A separate review explains the reason: most of what a scan finds is present in people with no pain at all.
England ran the closest thing to a national test of clinical AI anyone has published. The software sites gained more, but the comparison sites were improving on their own, and that gap is the whole result.
Off-the-shelf features from two published models matched retinal scans to the right patient 78% to 86% of the time. Fine-tuned for the task, one model reached 99.5% on OCT.