Artificial Intelligence Medical Compendium

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

Showing 24,381 to 24,390 of 217,425 articles

Student Performance in Bitewing Caries Detection: Artificial Intelligence Versus Alternative E-learning.

International dental journal
INTRODUCTION AND AIMS: This study compared 3 methods for teaching caries detection in bitewings: a prerecorded lecture, a preannotated dataset, and an artificial intelligence (AI)-based web application. METHODS: Fifty-two dental students annotated ca... read more 

Malignant Transformation Risk in Patients With Oral Leukoplakia and Type 2 Diabetes Mellitus.

International dental journal
INTRODUCTION AND AIMS: Oral leukoplakia (OLK) is the most common oral potentially malignant disorder, with a malignant transformation rate of up to 9.8%. Type 2 diabetes mellitus (T2DM) is associated with increasing cancer risk. However, risk factors... read more 

When brand prominence mutes uniqueness: Deconstructing the prominence paradox with network science and machine learning.

Acta psychologica
This study investigates the "Prominence Paradox": how market prominence paradoxically suppresses brand uniqueness signals. Grounded in dual-process theory, we posit a "shift in the locus of judgment" as the core mechanism. Using a large-scale survey ... read more 

Understanding artificial intelligence usage and knowledge sharing: The social ties perspective.

Acta psychologica
Although research has increasingly explored the consequences of artificial intelligence (AI) for workplace knowledge exchange, it remains unclear how AI reconfigures the relational foundations that sustain knowledge sharing among coworkers. Drawing o... read more 

MultiSense-L2Net: AI-mediated co-regulation of emotion and motivation in second language writing.

Acta psychologica
Language acquisition in second language (L2) writing requires learners to constantly regulate their emotions and motivation as they plan, draft, and revise text. Although previous research has established the salience of these affective processes, mo... read more 

PLANeT: Understanding and leveraging the genome of land plants for a sustainable future.

Cell
Land plants underpin civilization and planetary health, yet their genomic diversity remains largely uncharted. Current resources are unstandardized and scarce, lacking reference genomes for 95% of genera, 70% of families, and 51% of orders, impeding ... read more 

Temporal Trends and Projections of Leprosy in Brazil: Application of Machine Learning Techniques for Predictive Analysis (2001-2034).

The American journal of tropical medicine and hygiene
Leprosy remains a neglected tropical disease with active transmission. Predictive models improve understanding of epidemiological trends and support control strategies in endemic contexts. This study analyzed leprosy in Brazil between 2001 and 2024, ... read more 

Astragalin alleviates ulcerative colitis via FPR1 inhibition and restores Microbiota-Metabolite Homeostasis: A mechanism revealed by deep learning.

Biochemical pharmacology
The pursuit of multi-targeted therapies that simultaneously address mucosal immune dysregulation, barrier dysfunction and gut microbiota imbalance in ulcerative colitis (UC) remains a major challenge. Astragalin, a natural flavonoid, represents a pro... read more 

A NETs-centric multi-omics framework prioritizes PGLYRP1 and MMP9 as subtype-associated thromboinflammatory biomarker candidates and putative therapeutic hypotheses in ischemic stroke.

Neurobiology of disease
Neutrophil extracellular traps are implicated in immunothrombosis and neuroinflammation in ischemic stroke, but blood-based markers that distinguish subtype-specific thromboinflammatory patterns remain limited. We applied an integrated multi-omics st... read more 

Integrated plasma proteomics and metabolomics reveal immunometabolic pathways and predictive signatures for age-related eye diseases.

Metabolism: clinical and experimental
BACKGROUND AND AIMS: Age-related eye diseases (AREDs) share aging as a major risk factor, but the systemic molecular changes preceding disease onset remain incompletely understood. We aimed to define the shared and disease-specific immunometabolic ar... read more