Artificial Intelligence Medical Compendium

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

Showing 50,591 to 50,600 of 225,062 articles

High-capacity removal of crystal violet using ZIF-8/graphene quantum dot composite with RSM optimization and explainable machine learning.

Scientific reports Feb 14, 2026
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Feasibility of BMI-based sub-milliSievert low-dose CT in individualized detection of lung nodules.

European radiology Feb 14, 2026
OBJECTIVES: To evaluate the performance of a body mass index (BMI)-based sub-milliSievert low-dose CT (LDCT) protocol with multiple reconstruction algorithms for image quality and lung nodule assessment. MATERIALS AND METHODS: This prospective study ... read more 

An interpretable machine learning model for preoperative prediction of aldosterone secretion and CYP11B2 status of adrenal gland.

BMC medical imaging Feb 14, 2026
BACKGROUND: To investigate whether a machine learning (ML) model integrating CT-based radiomics and clinical features can noninvasively evaluate the aldosterone secretion and CYP11B2 status of the adrenal gland, using Shapley Additive Explanations (S... read more 

Interpretable habitat and peritumoral radiomics from multiparametric MRI for preoperative high-risk prostate cancer prediction: a multi-institutional study.

Journal of translational medicine Feb 14, 2026
BACKGROUND: Current preoperative assessment faces limitations, including PI-RADS scoring subjectivity and diagnostic uncertainty in distinguishing high-risk prostate cancer from benign and low-risk lesions. To develop an interpretable ensemble learni... read more 

Artificial intelligence-assisted training for rib fracture interpretation: a prospective study in undergraduate medical students.

World journal of emergency surgery : WJES Feb 14, 2026
PURPOSE: Chest X-rays (CXRs) are essential in trauma care but have limited sensitivity for rib fracture detection, leading to frequent missed diagnoses. Artificial intelligence (AI) has shown potential to improve diagnostic accuracy, yet its role in ... read more 

Clinically applicable deep learning model for segmentation of the mandibular bone and inferior alveolar canal in CBCT cross-sectional images.

BMC oral health Feb 14, 2026
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Association of cardiovascular-kidney-metabolic syndrome stages with MASLD prevalence and liver fibrosis severity: evidence from traditional and machine learning approaches.

European journal of medical research Feb 14, 2026
INTRODUCTION: Cardiovascular-Kidney-Metabolic (CKM) syndrome reflects the convergence of cardiovascular, renal, and metabolic disorders. Metabolic dysfunction-associated steatotic liver disease (MASLD), as the hepatic phenotype of metabolic impairmen... read more 

Implementation of an artificial intelligence-powered training platform in oral medicine and pathology education: a comparative study.

BMC medical education Feb 14, 2026
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CT-based multiple instance and ensemble learning for lymph node metastasis prediction in esophageal squamous cell carcinoma: a multicentre, retrospective study.

Cancer imaging : the official publication of the International Cancer Imaging Society Feb 14, 2026
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Modeling nascent transcription from chromatin landscape and structure with CLASTER.

Genome biology Feb 14, 2026
We present the Chromatin Landscape and Structure to Expression Regressor (CLASTER), an epigenetic-based deep neural network that can integrate different data modalities describing the chromatin landscape and its 3D structure. CLASTER effectively tran... read more 
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