Radiology

Fused Deposition Modelling 3D printing has become a practical, accessible, and cost-effective tool in surgical settings, a 2026 systematic review has found.

AI can predict postoperative breast cancer recurrence using preoperative mammograms, a 2026 study has found.

A new AI model was able to read and diagnose brain MRI scans in seconds, researchers at the University of Michigan have found.

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.