Artificial Intelligence Medical Compendium

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

Showing 52,411 to 52,420 of 225,279 articles

Noninvasive preoperative risk stratification of prostate cancer via a foundational model based deep learning with PSMA PET/CT.

BMC cancer Feb 9, 2026
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Unraveling key genes and mitochondrial-related mechanisms of atherosclerosis severity: explorations based on interpretable machine learning.

BMC cardiovascular disorders Feb 9, 2026
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A hybrid CNN model for multi-class freshness and disease detection in local spinach varieties.

BMC plant biology Feb 9, 2026
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Dynamic prediction of paroxysmal atrial fibrillation onset using longitudinal sample entropy in joint models.

BMC medical research methodology Feb 9, 2026
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with a five-fold increased risk of stroke. Early prediction of AF onset could improve care for at-risk patients. Existing predictive models often rely on cli... read more 

Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance.

European radiology experimental Feb 9, 2026
BACKGROUND: Synthetic positron emission tomography (PET) imaging, enabled by deep learning, represents a promising approach to minimize radiation exposure while preserving diagnostic accuracy. However, variability in methodologies, performance metric... read more 

Synthetic health data in Canada: A scoping review of methods, applications, and data sources.

Canadian journal of public health = Revue canadienne de sante publique Feb 9, 2026
BACKGROUND: Access to provincial health-related data for multi-jurisdictional studies in Canada is restricted by privacy laws. Synthetic data (SD), which mimic real data, can facilitate privacy preservation. However, information on SD use in Canadian... read more 

Individualized gamma knife radiosurgery prescription dosing for pituitary adenomas: development and internal validation of a feedforward neural network model.

Pituitary Feb 9, 2026
BACKGROUND: Gamma Knife radiosurgery (GKRS) is an established treatment for pituitary adenomas yet prescription dose selection is often guided by clinician experience. Data-driven models may help standardize dose selection using routinely available c... read more 

Plasma metabolomic signatures in patients with multidrug-resistant bacterial sepsis.

Metabolomics : Official journal of the Metabolomic Society Feb 9, 2026
BACKGROUND AND OBJECTIVE: Multidrug-resistant (MDR) bacterial infections are a leading cause of sepsis-related death. A rapid method to identify patients with MDR infections upon hospital admission is urgently needed. This study aimed to characterize... read more 

Unlocking the full potential of MRI with artificial intelligence for pre-operative meningioma evaluation.

European radiology Feb 9, 2026
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A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification.

Nature genetics Feb 9, 2026
Classification of tumors in neuro-oncology today relies on molecular patterns (mostly DNA methylation) and their machine learning-supported interpretation. Understanding the process of algorithmic interpretation is essential for safe application in c... read more 
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