Artificial Intelligence Medical Compendium

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

Showing 27,601 to 27,610 of 218,939 articles

Gene-level gut microbiome signatures as predictive biomarkers for response to immune checkpoint inhibitors across multiple cancer types.

Gut microbes
Targeting programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) with immune checkpoint inhibitors (ICIs) has improved survival across multiple cancer types, but the variability in patient response highlights ... read more 

Explainable Ensemble Machine Learning for Predicting Injury Severity in Agricultural Accidents.

Journal of agromedicine
OBJECTIVES: Agricultural injuries remain a leading occupational hazard, causing substantial human and economic losses worldwide. This study aimed to predict agricultural injury severity using linear and ensemble machine learning (ML) models, while en... read more 

Large Language Models for Cardiac MRI Diagnosis Based on Standardized Text Descriptions.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: MRI is important for cardiac disease evaluation, but accurate diagnosis remains challenging in less experienced centers. Although large language models (LLMs) have shown promise in medical imaging diagnosis, their application in cardiac M... read more 

Machine learning prediction of CKD progression in hyperglycemic elderly adults: a prospective community cohort study.

Renal failure
Hyperglycemia is a major risk factor for chronic kidney disease (CKD). This multicenter prospective study developed and validated a machine learning (ML) model to predict CKD risk in prediabetic and diabetic populations for early intervention, follow... read more 

The ABCD of AI-Enabled Clinical Reasoning: A Guided Framework to Transform Learner Interactions and Decision Quality.

Journal of surgical education
OBJECTIVE: To evaluate the efficacy of a structured guidance framework articulate, brainstorm and benchmark, critique and customize, and decide and discuss (ABCD) in improving AI-assisted clinical decision-making among surgical trainees. METHODS: We ... read more 

3D vessel reconstruction from sparse-view dynamic DSA images via vessel probability guided attenuation learning.

Medical image analysis
Digital Subtraction Angiography (DSA) is one of the gold standards for vascular disease diagnosis. With the help of a contrast agent, time-resolved 2D DSA images deliver comprehensive blood flow information and can be utilized to reconstruct 3D vesse... read more 

Methodological appraisal practices in AI-Based radiomics research in paediatric brain tumour Imaging: A Meta-Research study of systematic reviews.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
BACKGROUND: Artificial intelligence-based radiomics offers a potential adjunct to the current clinical management of paediatric brain tumours by enabling prediction of key diagnostic features. However, despite promising research, integration into cli... read more 

Anatomically parameterised statistical shape modelling of LVAD-supported left ventricles for thrombosis risk assessment.

Computers in biology and medicine
Heart failure remains a major global burden, and limited donor availability has made left ventricular assist devices (LVADs) a critical alternative. However, most studies of left ventricular (LV) flow under LVAD support rely on single cases or small ... read more 

Context-Guided Mixture-of-Experts with Multimodal LLMs for Lesion Detection in Buccal Mucosa Images.

International dental journal
INTRODUCTION AND AIMS: Oral lesions are highly prevalent globally, and oral cancer ranks among the most common malignancies, underscoring the need for AI-driven tools to support early detection and triage, especially in resource-scarce settings. This... read more