Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 62,841 to 62,850 of 230,760 articles

Comparison of deep learning reconstruction and adaptive statistical iterative reconstruction for head CT in acute stroke.

Neuroradiology Jan 19, 2026
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Integrating large language models (LLMs) into neuro-oncologic radiology: a retrospective feasibility assessment of GPT-4o for brain tumor diagnosis.

Neuroradiology Jan 19, 2026
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Multimodal imaging of acquired aortic diseases: clinical efficacy, comparative analysis, and future perspectives.

The international journal of cardiovascular imaging Jan 19, 2026
Aortic diseases, particularly acute aortic syndromes (AAS) and aortic aneurysms (AA), represent critical cardiovascular conditions with high mortality rates requiring precise imaging for diagnosis and management. This review provides a comprehensive ... read more 

Symptom status and non-calcified plaque burden across CAC strata: insights from AI-based CCTA quantification.

The international journal of cardiovascular imaging Jan 19, 2026
To investigate whether non-calcified coronary plaque (NCP) volume differs between symptomatic versus asymptomatic individuals across strata of coronary artery calcium (CAC) score, and whether symptom status adds incremental value beyond CAC. In this ... read more 

Coronary atherosclerosis on AI-based plaque analysis in patients with chest pain and calcium score zero.

The international journal of cardiovascular imaging Jan 19, 2026
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Supervised machine learning to quantitatively assess the prognostic value of tumor-infiltrating lymphocytes in gastric cancer.

BMC cancer Jan 19, 2026
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Interpretable machine learning using CT radiomics predicts pathological upgrading after secondary resection in non-muscle-invasive bladder cancer.

BMC cancer Jan 19, 2026
BACKGROUND AND PURPOSE: Repeat transurethral resection (ReTUR) is essential for reducing residual and recurrent non-muscle-invasive bladder cancer (NMIBC). Pathological upstaging after ReTUR significantly influences prognosis. This study aimed to dev... read more 

Roles of microorganisms in the flavor evolution of prepared aquatic foods: comprehensively understanding their metabolic mechanisms, quorum sensing, and innovative regulation strategies.

Critical reviews in food science and nutrition Jan 19, 2026
Prepared aquatic foods refer to ready to eat, heat, cook, and use aquatic products. These foods are gaining popularity as a result of consumer preference for their peculiar flavor. Flavor deterioration of prepared aquatic foods directly impacts the s... read more 

Lesion stratification with intracoronary imaging.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology Jan 19, 2026
Intracoronary (IC) imaging-guided percutaneous coronary intervention (PCI) improves clinical outcomes in patients with high clinical and anatomical risk when compared to interventions guided by angiography alone. Recent Class I recommendations for th... read more 
Humans Artificial Intelligence Coronary Angiography Percutaneous Coronary Intervention Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic

Development of an artificial intelligence-based algorithm for the detection of left atrial enlargement from feline thoracic radiographs.

The veterinary quarterly Jan 19, 2026
A heart-convolutional neural network (heart-CNN) was developed and tested for the automatic detection of left atrial enlargement (LAE) from feline thoracic radiographs. A retrospective and multicenter study was performed. Right lateral and dorso-vent... read more 
Neural Networks, Computer Artificial Intelligence Algorithms Retrospective Studies Female Animals Male Echocardiography Cardiomegaly Heart Atria Cats Cat Diseases Radiography, Thoracic
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