Radiology

Mammographic surveillance and adjunct imaging techniques can lower morality and enhance early detection among breast cancer survivors.

AI-prefilled structured reporting improves diagnostic accuracy in chest radiograph reporting compared with free-text reporting, a 2026 prospective reader study has found.

MRI-based radiomics models may help predict tumour deposit burden in rectal cancer, with a fusion AI approach outperforming radiologists in preoperative risk assessment.

Computer-aided detection chest X-ray performed comparably to experienced radiologists for pulmonary tuberculosis diagnosis, supporting its potential role in low-resource, high-burden clinical settings.

A deep-learning serial CT biomarker accurately predicts overall survival in immunotherapy-treated NSCLC, outperforming RECIST in large real-world and trial cohorts.

Medical societies warn that flawed studies may deter patients from lung cancer screening despite clear survival benefits.

Ultra-high-field 5 T MRI delivers improved image quality and diagnostic accuracy compared with 3 T MRI for prostate cancer, according to a prospective intra-individual study.

New stainless steel neural probes promise safer deep brain sensing, reducing fracture risk while supporting high-resolution recordings for research and surgery.