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chest X-ray

Computer-Aided Detection Chest X-Ray Matches Radiologists

February 2026

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.

chest X-ray

Computer-Aided Detection Chest X-Ray Matches Radiologists

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.

Deep-Learning CT Model Predicts Survival in NSCLC

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

Lung Cancer Screening Risks Misreported - EMJ

Misinformation Linked to Reductions in Lung Cancer Screening

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

5 T MRI Advances Prostate Cancer Imaging - EMJ

Ultra-High-Field 5 T MRI Outperforms 3 T For Prostate Cancer Imaging

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.

neural probes

Neural Probes Redefine Safe Deep Brain Recording

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

Microwave Ablation

Microwave Ablation Competes With Repeat Surgery

The new analysis draws on the prospective MALRIC study, including patients treated between 2009 and 2024 across 10 hospitals

neuroimaging

Neuroimaging Findings in Recreational Substance Use

Recreational substance use is associated with a broad range of neuroimaging findings, and radiologists play a key role in recognising patterns that influence emergency management and prognosis.

lung cancer

Machine Learning Supports Radiology Lung Cancer Screening

A machine learning lung cancer risk model showed improved accuracy over traditional methods, with potential to enhance patient selection for radiology based lung cancer screening.

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