Artificial Intelligence Medical Compendium

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

Showing 1,111 to 1,120 of 200,219 articles

Artificial Intelligence-Based Body Composition Analysis Reveals Sex-Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
BACKGROUND AND AIMS: Conventional body composition assessment fails to capture its multidimensional complexity in gastric cancer (GC). This study aimed to systematically evaluate multidimensional body composition and its clinical relevance in GC. MET... read more 

Diagnosis and classification of thalassemia disease using machine learning: Comparative analysis of traditional models and a novel hybrid approach.

Technology and health care : official journal of the European Society for Engineering and Medicine
Thalassemia is a hereditary blood disorder characterized by abnormal hemoglobin production. Common diagnostic methods include complete blood count, high-performance liquid chromatography, and hemoglobin electrophoresis. While physicians make the fina... read more 

Deep blueprint: A literature review and guide to automated image classification for ecologists.

The Journal of animal ecology
Deep learning (DL) is a powerful tool to extract ecological information from large image datasets efficiently and consistently. However, applying these methods remains challenging, due in part to the complexity of DL workflows and the dynamic nature ... read more 

Organ-Specific Cancer-Associated Fibroblast Subtypes Across the Digestive System Linked to Cancer Hallmarks.

Cancer science
Cancer-associated fibroblasts (CAFs) are major stromal components of the tumor microenvironment (TME) and play diverse roles in gastrointestinal (GI) cancer progression, immunity, and therapeutic resistance. However, the heterogeneity, tissue specifi... read more 

Synthetic love in the digital age: AI-mediated emotional investment and gendered romantic dependence.

The Behavioral and brain sciences
Digital technology has transformed romantic relationships, influencing men's and women's emotional investment differently. Drawing on "Romantic Relationships Matter More to Men than to Women," this commentary examines how artificial intelligence (AI)... read more 

Emerging Trends in Additive Manufacturing for Thermoelectric Devices: Materials, Structures, and Engineering Approaches.

ACS applied materials & interfaces
Energy harvesting is gaining importance in the 21st century, with thermoelectric (TE) technology offering a promising method for converting thermal energy into electrical energy. However, the application of TE devices remains relatively low because o... read more 

Identification of Polyamine Metabolism-Related Biomarkers in Psoriasis: A Study Based on Transcriptomics and Single-Cell Sequencing.

Experimental dermatology
Psoriasis (PS) is linked to altered polyamine metabolism, which may drive chronic inflammation and abnormal keratinocyte proliferation. We integrated transcriptomics and single-cell RNA sequencing (scRNA-seq) to identify polyamine metabolism-related ... read more 

Artificial intelligence readiness in Pakistan's medical and dental education: training-phase decline, a knowledge-practice paradox, and the role of digital determinants of health.

Medical education online
BACKGROUND: We assessed AI knowledge, attitudes, and use among medical and dental students in Pakistan, a lower-middle-income country (LMIC), and identified predictors of low AI use within Digital Determinants of Health (DDoH) and Professional Identi... read more 

Analysis of waste disposal and recycling processes in Türkiye with machine learning and artificial neural networks.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
This study aims to analyze waste disposal and recovery data for 2022 and 2024 in Türkiye to reveal changes in national waste management and to make future predictions using multivariate machine learning and artificial neural network (ANN) models. Tre... read more 

Expert Validation of an Artificial Intelligence-Enabled Trial Matching Solution Using Real-World Data From Patients With Cancer.

JCO oncology practice
PURPOSE: To validate the performance of an AI system (TRIAGE) for cancer trial eligibility screening using real-world longitudinal electronic health records (EHRs), full versioned trial protocols, and expert clinical research coordinator (CRC) adjudi... read more