Artificial Intelligence Medical Compendium

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

Showing 69,641 to 69,650 of 234,067 articles

Occupational Exposure to Welding Fumes Associated With Pulmonary Surfactant Lipid Compositional Changes, Inflammatory Activity, and Pulmonary Functioning.

Journal of occupational and environmental medicine
OBJECTIVE: This study aimed to investigate alterations in the respiratory tract lining fluid phospholipids and their association with pulmonary function in welding fume-exposed workers. METHODS: Particles in exhaled air were collected from 134 subjec... read more 

iEnhancer-Flow: Integrating Transformer-Based Sequence Learning with DNA Shape Insights for Robust Enhancer Prediction.

Interdisciplinary sciences, computational life sciences
PURPOSE: Enhancers are critical non-coding regulatory elements, but their prediction remains challenging due to their variability and the absence of clear sequence motifs. This study aims to promote enhancer classification through a novel framework i... read more 

Deep learning for non-invasive detection of steatosis and fibrosis in MASLD: a multicenter study with a new fibroscan-labelled ultrasound dataset.

Abdominal radiology (New York)
PURPOSE: This study aimed to develop and validate deep learning models for non-invasive assessment of hepatic steatosis and fibrosis using conventional B-mode ultrasound images, with Fibroscan-derived measurement as reference standard. METHODS: We ut... read more 

Hereditary syndromes and RCC: what radiologists need to know.

Abdominal radiology (New York)
Hereditary renal cell carcinoma (RCC) accounts for approximately 5-8% of all renal cancers. This review provides a comprehensive overview of the seven hereditary RCC syndromes recognized by the National Comprehensive Cancer Network: Tuberous Sclerosi... read more 

Lymph Node Invasion Prediction in Prostate Cancer: A Comparative Machine-Learning Study.

Annals of surgical oncology
BACKGROUND: Accurate preoperative prediction of lymph node invasion (LNI) in prostate cancer is critical for guiding lymph node dissection. Current nomograms often fail to optimall balance the risks of missing metastatic cases and unnecessary dissect... read more 

Artificial intelligence-guided nutritional therapy in the ICU.

Current opinion in clinical nutrition and metabolic care
PURPOSE OF REVIEW: Critical care nutrition remains a high-stakes and error-prone domain, particularly given the complex metabolic demands and heterogeneity of ICU populations. This review explores recent progress in integrating artificial intelligenc... read more 

Assessing the Accuracy of Large Language Models on European Guidelines for Cervical Cancer: An In Silico Benchmarking Study.

BJOG : an international journal of obstetrics and gynaecology
OBJECTIVE: Although large language models are increasingly used in clinical and research settings, the validity of the information they provide remains uncertain. This study aimed to evaluate the accuracy, consistency, and reliability of three large ... read more 

Autocatalytic Circular DNA Powered Plasmonic CRISPR/Cas12a Platform for Ultrasensitive Non-Nucleic Acid Target Sensing.

Angewandte Chemie (International ed. in English)
CRISPR/Cas12a-based detection of non-nucleic acid targets faces two major challenges: 1) limited sensitivity due to the inherent inability to pre-amplify non-nucleic acid targets, and 2) suboptimal performance of traditional reporters caused by photo... read more 

The Redox Properties of Polyphenols and Their Role in ROS Generation for Biomedical Applications.

Angewandte Chemie (International ed. in English)
Polyphenols, particularly catechols, represent a significant class of compounds characterized by their versatile physicochemical and biological properties, sourced from both natural origins and industrial by-products. This review highlights their cri... read more