Latest

5678 stories
GeneralAI / InformaticsResearch

Preserving the radiologist’s pre-AI interpretation as an auditable event

Radiology should preserve an auditable pre-AI interpretation: capture what the radiologist concluded before AI exposure, then the AI display and response. Automation-bias research shows that the current blended record is consequential.

Academic radiology
Neuro / Head & NeckAI / InformaticsResearch

GPT Automates Radiomics Modeling for Response Prediction in Head and Neck Cancer

In head and neck squamous cell carcinoma, GPT-assisted MRI radiomics predicted pathological complete response to chemoimmunotherapy with AUC 0.741 (validation) and 0.706 (multicenter prospective), comparable to manual models (0.714 and 0.700).

Physics in medicine and biology
Neuro / Head & NeckResearch

Immunotherapy Yields Durable MRI Responses in Perineural Spread of Cutaneous SCC

MRI surveillance of perineural spread from cutaneous SCC shows frequent durable response to anti-PD-1 immunotherapy: in a retrospective cohort of 9 patients, 3 had complete response, 5 partial, none progressed (median 37 mo). Literature review of 101 cases: 35% complete response.

AJNR. American journal of neuroradiology
Neuro / Head & NeckResearchTrainee

Prominent Dorsal Perimedullary Veins in SIH Mimic Spinal Dural AVF

In a series of six patients, prominent dorsal perimedullary veins in spontaneous intracranial hypotension (SIH) mimicked spinal dural arteriovenous fistula (dAVF). Key distinguishing features of SIH included orthostatic headache, brain sagging, and absence of cord edema, avoidin…

AJNR. American journal of neuroradiology
Body / AbdominalAI / InformaticsResearch

Spatially Aware Deep Learning Cuts IVIM MRI Parameter Errors by 81% in Esophageal Cancer

A spatially aware neural network (Spatial NCDE) reduced IVIM parameter estimation error by 81% (D) vs. least squares and 55% vs. UNet in simulations. In esophageal cancer patients, improvement in predicting chemoradiotherapy response was not statistically significant.

Magnetic resonance in medicine
Body / AbdominalAI / InformaticsResearch

Bibliometric analysis maps AI research in gastric cancer over three decades

From 1993 to 2026, 2,357 articles and 311 clinical trials on AI in gastric cancer were published, with steady annual growth. Research focuses on AI-assisted endoscopy, pathology, radiomics, immunotherapy, and clinical decision systems.

Frontiers in oncology
Neuro / Head & NeckAI / InformaticsResearch

HR-VWI radiomics model predicts recanalization in cervical artery dissection

In 110 patients with cervical artery dissection, a logistic regression model combining HR-VWI radiomics and clinical factors achieved an AUC of 0.757 (95% CI 0.531-0.983) for predicting vascular recanalization, though limited sample size and few events warrant caution.

Frontiers in physiology
Body / AbdominalEmergencyAI / InformaticsResearch

Six CNN architectures benchmarked for slice-level acute cholecystitis detection on CT

Proof-of-concept: MobileNet-V3-large achieved AUC 0.97, sensitivity 0.959 for slice-level acute cholecystitis on contrast-enhanced CT; ResNet-101 had accuracy 0.915, specificity 0.857. Slice-level, single-center, not patient-level – external validation needed.

Diagnostics (Basel, Switzerland)
NewerPage 43 of 190Older