Artificial Intelligence Medical Compendium

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

Showing 62,551 to 62,560 of 230,507 articles

SERPINA1 as a Shared Biomarker in Periodontitis and Oral Squamous Cell Carcinoma.

International dental journal
OBJECTIVE: Periodontitis (PD) and oral squamous cell carcinoma (OSCC) frequently co‑occur in clinical populations. However, shared molecular determinants that could support risk assessment across diseases remain insufficiently defined. This study aim... read more 

Integrated multi-omics analysis of prognostic model and immune microenvironment in intrahepatic cholangiocarcinoma.

Translational oncology
BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is an aggressive malignancy originating from the epithelial lining of second-order bile ducts. Despite advances in immunotherapy, which underscore the pivotal roles of T-cell dynamics and tumor micro... read more 

Fuzzy classification of sepsis subtypes and implications for trajectory and treatment.

EBioMedicine
BACKGROUND: Sepsis is common and deadly, and subtypes are proposed to guide precision treatment. However, little is known about the uncertainty in subtype classification, and its implications for trajectory and treatment response. METHODS: In multipl... read more 

The use of artificial intelligence in decreasing vaccine skepticism and hesitancy.

Current opinion in pediatrics
PURPOSE OF REVIEW: Recent advances in artificial intelligence (AI) coincide with decreases in confidence in vaccines. This review examines studies that analyze and mitigate vaccine skepticism by implementing artificial intelligence strategies in vari... read more 

Using artificial intelligence to advance pediatric infection prevention and control.

Current opinion in pediatrics
PURPOSE OF REVIEW: Recent literature describes the deployment of different artificial intelligence (AI) technologies to potentially support infection prevention and control (IP&C) in both the community and healthcare environment. However, most studie... read more 

Empowering front-line physicians with AI: Evaluating large language models in everyday ENT care.

The American journal of emergency medicine
PURPOSE: Artificial intelligence systems known as large language models are being evaluated for clinical decision support, yet their role in emergency and primary care remains limited. Physicians in these settings often encounter ear, nose, and throa... read more 

Developing a trustworthy and explainable framework for classifying skin lesions through transfer learning and attention mechanisms.

Computational biology and chemistry
Detection of high precision skin lesions, especially melanoma, are still a major challenge in medical imagination due to their close visual equality and lack of reliably labeled datasets. In this study, we introduce a deep learning sketch aimed at ba... read more 

Interface-engineered Gd₂O₃/ZrO₂ bilayer memristor for emulating synaptic plasticity in neuromorphic systems.

Journal of colloid and interface science
Rare-earth-based materials are attracting growing interest for neuromorphic devices due to their unique electronic structures, defect engineering capabilities, and high ionic mobility, which enable energy-efficient and highly controllable memristive ... read more 

UniTrain: A universal iterative semi-supervised training framework for graph representation learning.

Neural networks : the official journal of the International Neural Network Society
Graph neural networks (GNNs) and graph transformers (GTs) perform well in graph-related tasks, but their potential is often limited in semi-supervised settings due to label scarcity. Although robust encoders and pre-training tasks enhance performance... read more