Artificial Intelligence Medical Compendium

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

Showing 27,431 to 27,440 of 218,826 articles

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 

Image Resolution's Impact on Artificial Intelligence & Human Accuracy in Full-Mouth Radiographic Analysis.

International dental journal
OBJECTIVES: Artificial intelligence (AI) is increasingly used for dental radiographic interpretation, yet the effect of image resolution on diagnostic accuracy compared with human evaluators remains unclear. This study evaluated how medium- versus hi... read more 

Development and Validation of an Interpretable Machine Learning Model for Predicting Distant Metastasis in Tongue Squamous Cell Carcinoma: A Multicentre Study.

International dental journal
INTRODUCTION AND AIMS: Distant metastasis (DM) in tongue squamous cell carcinoma is associated with poor prognosis. However, reliable tools for immediate postoperative risk prediction remain lacking. This study aimed to develop and validate an interp... read more 

Performance of Large Language Models in Oral Health Consultations and the Consistency of the 'AI-as-a-Judge' Framework.

International dental journal
OBJECTIVE: To evaluate the performance of large language models (LLMs) in responding to oral health consultations and to examine the consistency between the AI-as-a-Judge evaluation framework and human expert ratings. METHODS: Nine oral health questi... read more