Artificial Intelligence Medical Compendium

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

Showing 46,861 to 46,870 of 224,199 articles

FlowVN Trained on a Single Dataset Enables Rapid Reconstruction of Highly Accelerated 4D Flow MRI Across Multiple Sites.

Magnetic resonance in medicine Feb 26, 2026
PURPOSE: The aim of this study is to evaluate a deep variational network, FlowVN, for the reconstruction of heavily undersampled 4D Flow MRI across multiple sites. METHODS: FlowVN was trained on fully sampled 4D Flow MRI datasets of healthy volunteer... read more 

Contrast-enhanced CT-based radiomics model explained by the Shapley Additive exPlanations (SHAP) method for predicting preoperative diagnosis of pheochromocytoma and adrenal adenoma.

BMC medical imaging Feb 26, 2026
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BiToxNet: a deep learning framework integrating multimodal features for accurate identification of neurotoxic peptides and proteins.

BMC biology Feb 26, 2026
BACKGROUND: Accurate prediction of the neurotoxicity of peptides and proteins is critically important for the safety assessment of protein therapeutics and the development of protein-based drugs. Although experimental methods can reliably identify ne... read more 

Dual-path deep learning framework for accurate and interpretable brain tumor diagnosis.

BMC medical informatics and decision making Feb 26, 2026
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Artificial intelligence anxiety among nursing and midwifery students: the role of resistance to change - a cross-sectional study.

BMC medical education Feb 26, 2026
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Decoding cardiovascular risk in Chinese middle-aged and elderly adults: a 9-year prospective study integrating machine learning with explainable AI based on CHARLS cohort.

BMC medical informatics and decision making Feb 26, 2026
BACKGROUND: Cardiovascular disease constitutes the most formidable public health challenge in China, accounting for 48.98% and 47.35% of mortality in rural and urban populations, respectively, affecting approximately 330 million individuals. Existing... read more 

Continuous Evaluation Frameworks for Retrospective Evaluation of Clinical Machine Learning Models.

Critical care (London, England) Feb 26, 2026
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Psychiatry in transition: an assessment in the context of societal change.

Annals of general psychiatry Feb 26, 2026
AIMS: To explore how global challenges such as climate change, artificial intelligence (AI), and migration intersect with generational change among psychiatric trainees and reshape specialist training. METHODS: An integrative review drawing on sympos... read more 

An integrated random forest- and LASSO-derived nomogram for predicting postoperative nosocomial infections in colorectal cancer patients.

Perioperative medicine (London, England) Feb 26, 2026
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Construction of interpretable machine-learning diagnostic models for erectile dysfunction based on routine blood and biochemical detection data.

European journal of medical research Feb 26, 2026
Despite its high incidence, the diagnosis of erectile dysfunction (ED) is impeded by current diagnostic constraints and patient hesitancy in seeking medical intervention. The integration of machine learning with standard blood and biochemical markers... read more 
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