Artificial Intelligence Medical Compendium

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

Showing 65,261 to 65,270 of 231,904 articles

Superior machine learning model for post-cardiac arrest mortality prediction: a MIMIC-IV cohort study.

Resuscitation plus
BACKGROUND: Post-cardiac arrest syndrome carries substantial mortality despite advances in resuscitation. We developed a machine learning model to predict 28-day mortality using comprehensive clinical data. METHODS: We analyzed data from 1122 cardiac... read more 

Analysis and regulation of baijiu aroma-active compounds: integrating metabolomics, sensory genomics, and artificial intelligence.

Food research international (Ottawa, Ont.)
Baijiu aroma is governed by a small number of odor-active compounds present at trace or ultra-trace levels, whose formation and perception are shaped by complex microbial metabolism, physicochemical transformations, and sensory interactions. While me... read more 

Machine learning-based identification of factors associated with spontaneous abortion in patients with Systemic lupus erythematosus (SLE): Insights from the Egyptian College of Rheumatology (ECR)-SLE cohort.

Lupus
BackgroundSystemic lupus erythematosus (SLE), an autoimmune disease, predominantly affects women and is associated with an increased risk of spontaneous abortion (SA). However, traditional analytical methods found a modest relationship between some f... read more 

A modern look at simplicity bias in image classification tasks.

Neural networks : the official journal of the International Neural Network Society
Simplicity bias (SB), the tendency of neural networks to learn simpler functions, is a key factor in good generalization. Recent studies have examined SB mainly using simple models or easily controlled synthetic tasks. However, the effect of SB on ge... read more 

Predictive value of machine learning for mortality risk in aortic dissection: a systematic review and meta-analysis.

International journal of medical informatics
BACKGROUND: Aortic dissection (AD) is a critical cardiovascular disorder with substantial risks of short-term mortality. Some researchers have endeavored to utilize machine learning (ML) approaches to develop predictive models for the risk of mortali... read more 

Identification of major depressive disorder based on Triple-GCN model constructed with multimodal elastic network from higher-order brain connectivity.

Psychiatry research. Neuroimaging
Major Depressive Disorder (MDD) is the common mental health disease threatening human well-being. Several neuroimaging studies show that analyzing neural connectivity patterns improved diagnostic accuracy, though most approaches overlook node-edge in... read more 

On scientific foundation models: Rigorous definitions, key applications, and a comprehensive survey.

Neural networks : the official journal of the International Neural Network Society
Scientific Foundation Models (SciFMs) represent a transformative paradigm for addressing complex scientific and engineering problems by leveraging large-scale pretraining and deep learning architectures. Unlike traditional numerical solvers, which re... read more 

Muscle ultrasonography texture in young, middle-aged, and older people and its association with functional performance: A machine learning-based study.

Experimental gerontology
BACKGROUND: Skeletal muscle deterioration accelerates with age, leading to muscle atrophy and dysfunction. Musculoskeletal ultrasound as a nonradiative, inexpensive, and portable tool, has potential to evaluate age-related muscle changes. This study ... read more 

Neural signatures of major depressive disorder with comorbid insomnia: Low gamma PoCG.R-INS.L connectivity as a potential biomarker.

Journal of affective disorders
BACKGROUND: Insomnia is a common and distressing symptom in major depressive disorder (MDD). However, research focusing on the neurobiological mechanisms of MDD with comorbid insomnia remains limited, and objective biomarkers are still lacking. There... read more