Artificial Intelligence Medical Compendium

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

Showing 32,571 to 32,580 of 221,076 articles

Accurate prediction of ecDNA in interphase cancer cells using deep neural networks.

Communications biology
Oncogene amplification is a key driver of cancer pathogenesis and is often mediated by extrachromosomal DNA (ecDNA). EcDNA amplifications are associated with increased pathogenicity of cancer and poorer outcomes for patients. EcDNA can be detected ac... read more 

Improving the Readability of Spasmodic Dysphonia Patient Education Materials Using ChatGPT-4o Mini: A Cross-Sectional Study.

Journal of voice : official journal of the Voice Foundation
PURPOSE: Online patient education materials (PEMs) for spasmodic dysphonia (SD) often exceed recommended readability levels, creating barriers to patient comprehension. This cross-sectional study examined (a) the current readability of SD-related PEM... read more 

Deep learning based eye disease classification using Optical Coherence Tomography (OCT) images.

Experimental eye research
BACKGROUND AND OBJECTIVE: Optical Coherence Tomography (OCT) imaging plays a crucial role in the early diagnosis of ocular diseases. This study aims to develop and evaluate deep learning models for multi-class classification of retinal diseases using... read more 

Microbiome and multi-omics insights into sustainable aquaculture: A triennial systematic review.

Comparative biochemistry and physiology. Part D, Genomics & proteomics
Aquaculture is the fastest-growing food production sector, yet intensive practices drive disease outbreaks, antibiotic resistance, and environmental degradation, threatening long-term sustainability. The aquaculture microbiome, encompassing host-asso... read more 

Neuromodulation of the central nervous system for facial pain.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics
Chronic craniofacial pain can lead to significant morbidity and reduced quality-of-life. Refractory pain subsequently leads to maladaptive changes within the central nervous system (CNS). It is logical to consider modulation of implicated neural netw... read more 

Association between aspirin use and mortality in critically ill patients with heart failure: a retrospective study using the MIMIC-IV database.

Heart & lung : the journal of critical care
BACKGROUND: Despite the established antithrombotic benefits of aspirin in cardiovascular disease, its efficacy remains controversial for critically ill patients with heart failure (HF) admitted to the intensive care unit (ICU). OBJECTIVES: To determi... read more 

Artificial intelligence and nursing science: Opportunities, challenges, implications, and guidelines.

Nursing outlook
BACKGROUND: In the era of artificial intelligence (AI), nursing science has the potential to enable transformative change in healthcare driven by the nursing clinical focus, its deep commitment to improving patient and family outcomes, its legacy of ... read more 

Analysis of spatial heterogeneity and influencing factors of carbon emission efficiency at the provincial level in China based on machine learning.

Journal of environmental management
Under increasing pressure from global climate change, improving carbon emission efficiency (CEE) has become an important pathway for promoting green and low-carbon transformation. Using panel data for 30 Chinese provinces from 2006 to 2022, this stud... read more 

Comparative evaluation of large language models for patient education after total knee arthroplasty.

The Knee
BACKGROUND: Artificial intelligence (AI) tools are increasingly used to support healthcare communication. Total knee arthroplasty (TKA) is a common orthopedic procedure, and many patients seek perioperative information online; however, the accuracy, ... read more 

Prediction of unplanned readmission in older adults during hospital stay: a data-driven approach to support care transition.

Geriatric nursing (New York, N.Y.)
PURPOSE/AIMS: Accurately predicting 30-day unplanned readmission in older adults is critical for improving care transitions and reducing preventable hospitalizations. Most existing models rely only on data available at discharge, limiting early inter... read more