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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]

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GeneralAI / InformaticsResearch

Assessing Ghana's readiness for artificial intelligence in medical imaging and a phased adoption roadmap

A review finds Ghana's artificial intelligence imaging readiness is limited by gaps in digital image storage, connectivity, governance and workforce, and proposes phased adoption starting with infrastructure, then chest X-ray, low-dose CT and MRI pilots with human oversight.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Neuro / Head & NeckAI / InformaticsEducationTrainee

ML in neuroradiology: a review of recent clinical applications

Machine learning in neuroradiology now aids acute stroke detection, aneurysm identification, tumor segmentation, and more. Yet limited generalizability, insufficient external validation, and poor interpretability remain key barriers to clinical use. Explainable AI and federated…

World journal of radiology
Neuro / Head & NeckNuclear / MolecularAI / InformaticsResearchTrainee

AI analysis of nigral hyperintensity on susceptibility MRI to predict dopamine transporter PET abnormalities in REM sleep behavior disorder

Deep learning analysis of nigral hyperintensity on susceptibility MRI predicted dopamine transporter PET abnormalities in REM sleep behavior disorder with 78% sensitivity, 66.7% specificity, 73% accuracy. Bilateral MRI findings strongly linked to PET positivity (24/26, 92.3%).

Frontiers in neurology
BreastAI / InformaticsResearchTrainee

Reasoning LLMs surpass conventional models for BI-RADS educational question answering

Reasoning large language models (LLMs) scored higher than conventional ones for BI-RADS educational questions (median 3.7 vs 2.7, P<0.001). Performance fell for multifaceted clinical scenarios (reasoning models Δmedian -1.3). ChatGPT-o1 and Deepseek-R1 led. Language affected som…

Frontiers in medicine
BreastCardiacAI / InformaticsNews

AI on mammograms flags stroke, hypertension, and ischemic heart disease risk

Deep learning on routine mammograms detected stroke, hypertension, and ischemic heart disease in 30,000 women: diagnostic performance was highest for stroke (0.86), followed by hypertension (0.79) and ischemic heart disease (0.78), independent of age and cancer status.

Radiology Business
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