Artificial Intelligence Medical Compendium

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

Showing 17,861 to 17,870 of 214,033 articles

Accuracy and hallucination behaviors of artificial intelligence-based large language models for dental implant identification on radiographs.

Journal of dentistry
OBJECTIVES: This study aimed to evaluate the accuracy and error patterns of four artificial intelligence-based large language models (LLMs) in identifying dental implant characteristics including implant level, connection type, brand, and manufacture... read more 

In vitro evaluation of automated single-unit crown design using artificial intelligence: Design time, marginal misfit, dental morphology, and contact points.

Journal of dentistry
OBJECTIVE: To compare an artificial intelligence-based design workflow with a manual CAD workflow in terms of design time, vertical marginal misfit, dental morphology, and interproximal and occlusal contacts during single-unit crown planning. METHODS... read more 

Machine learning for predicting young's modulus of soft tissues from atomic force microscopy data.

Journal of structural biology
Atomic force microscopy (AFM) is an advanced tool applied to investigate the mechanical properties of a wide variety of material classes, including soft biological tissues. Force-indentation curves obtained through AFM can be analyzed using appropria... read more 

Single-cell and spatial analyses identify a glycolysis-high state driven by STOML2 in epithelial ovarian cancer.

Experimental cell research
OBJECTIVE: Metabolic heterogeneity contributes to therapeutic resistance and poor prognosis in epithelial ovarian cancer (EOC), yet the regulatory drivers of aggressive glycolytic states remain incompletely defined. We aimed to delineate glycolysis-a... read more 

Accelerated biological aging in bipolar disorder as determined by artificial intelligence-based electrocardiographic assessment.

Journal of affective disorders
BACKGROUND: Individuals with bipolar disorder (BD) are at increased risk for major adverse cardiovascular events. Recent evidence suggests that the difference between chronological and physiological age, as determined by artificial intelligence (AI)-... read more 

Investigating the comparability of wearable accelerometer methods in the association between physical activity and cardiovascular disease: a cohort study using UK Biobank.

Preventive medicine
OBJECTIVE: The selection of accelerometer processing methods may influence the shape of the dose-response association between wearable-measured physical activity and health outcomes. We aimed to compare the association of stroke and myocardial infarc... read more 

The role of whole genome sequencing in antimicrobial susceptibility prediction of bacteria: 2025 update from the EUCAST Subcommittee.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
SCOPE: The 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) subcommittee report on the role of Whole Genome Sequencing (WGS) in Antimicrobial Susceptibility Testing (AST) concluded that WGS antimicrobial susceptibility predict... read more 

Artificial intelligence in the differential diagnosis of hypertrophic cardiomyopathy and physiological hypertrophy: a scoping review.

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is the most common inherited myocardial disorder and a major cause of sudden cardiac death in young adults and competitive athletes. Distinguishing HCM from exercise-induced physiological hypertrophy is c... read more 

Integrated Diagnosis of Submassive Pulmonary Embolism Using Computed Tomography Angiography, Echocardiography, and Artificial Intelligence.

Journal of vascular surgery. Venous and lymphatic disorders
OBJECTIVES: Early intervention in submassive pulmonary embolism (SMPE) has been shown to improve long-term cardiopulmonary outcomes compared to anticoagulation alone. SMPEs are diagnosed by documentation of right-to-left ventricular (RV/LV) ratio > 0... read more