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Chest / ThoracicAI / InformaticsGuidelineTrainee

Chinese Medical Association updates lung cancer diagnosis and treatment guideline for 2026

The 2026 Chinese lung cancer guideline adds AI and opportunistic screening in low-dose CT, expands molecular testing, and updates treatment regimens for NSCLC, including perioperative, consolidation immunotherapy, and targeted therapy for EGFR, ALK, KRAS, HER2, and MET alteratio…

Zhonghua zhong liu za zhi [Chinese journal of oncology]
Chest / ThoracicBody / AbdominalAI / InformaticsResearch

AI model detects esophageal cancer and precancerous lesions on noncontrast chest CT

An AI model (EAGLE) analyzing noncontrast chest CT achieved 90.0% sensitivity for esophageal cancer and 98.5% specificity in external multicenter testing (11,466 patients), and 99.94% specificity in low-dose screening. Could enable opportunistic esophageal cancer screening.

Nature medicine

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Interventional (IR)Research

E&M Services and IR Specialization Tied to Higher Procedural Complexity

Radiologist IR specialization most strongly predicted higher procedural complexity (OR 74.74; 95% CI 65.81–84.89). Each additional E&M wRVU was associated with 0.14 more procedural wRVUs (P=.045).

Journal of the American College of Radiology : JACR
Neuro / Head & NeckResearchTrainee

Photon-Counting CT Advances Head and Neck Imaging with Spectral and Dose Benefits

Photon-counting CT improves head and neck imaging over energy-integrating CT: higher spatial resolution, less noise and metal artifact, lower radiation and contrast doses, and spectral reconstructions may enhance lesion detection, tissue characterization, and assessment around d…

European radiology
Musculoskeletal (MSK)AI / InformaticsResearch

Combined MRI radiomics and clinical model predicts spine/pelvis chordoma recurrence with test AUC 0.897

In 135 patients with spine/pelvis chordoma, an MRI radiomics model predicted recurrence with test AUC 0.847; adding age, tumor size, and resection mode lifted test AUC to 0.897 vs 0.700 for clinical factors alone.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
CardiacAI / InformaticsResearch

Deep Learning on Whole-Body CT Predicts Short-Term Survival After TAVI

A deep learning model applied to pre-procedural whole-body CT predicted short-term survival (<12 months) after TAVI with AUC 0.787, sensitivity 85.3%, and specificity 72.1% in internal 5-fold cross-validation of 317 patients.

Studies in health technology and informatics
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