Category The Lancet. Digital health

The Lancet. Digital health

Smartphone AI Transforms Intraoperative Diagnosis of Lung Cancer Surgery

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic study.

A new deep learning model called SuRImage uses smartphone photos of surgical tissue to instantly diagnose lung cancer invasiveness, potentially eliminating 30+ minute waits for traditional analysis while enabling junior surgeons to match senior-level diagnostic performance. Background Surgeons treating stage…

Dale Fields
April 7, 2026

The Lancet. Digital health

AI Model Outperforms Ophthalmologists in Predicting AMD Treatment Response

Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study.

A transformer-based deep learning model called KongMing predicts visual and anatomical outcomes of anti-VEGF therapy in neovascular AMD patients—outperforming experienced ophthalmologists across all accuracy metrics. Background Neovascular age-related macular degeneration (nAMD) affects millions of older adults worldwide. While anti-VEGF therapy…