Artificial Intelligence Medical Compendium

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

Showing 61,941 to 61,950 of 230,319 articles

Selecting measures of visual function to classify diabetic retinopathy status: a cross-sectional study.

BMJ open ophthalmology
AIM: To identify combinations of up to three visual function tests with the best performance for classifying diabetic retinopathy (DR) severity stage. To describe in detail the measurements from a comprehensive set of visual function tests. METHODS: ... read more 

Preoperative Neuroimaging Markers, Clinical Severity Measures, and Shunt Characteristics for Predicting Shunt Revision in Idiopathic Intracranial Hypertension: An Explainable Machine-Learning Study.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Surgical shunt placement is a common treatment for idiopathic intracranial hypertension (IIH) but is hampered by high revision rates. Prior predictive models for shunt revision in IIH have overlooked disease-specific neuroimag... read more 

Autoencoders for genomic variation analysis.

Genome research
Modern biobanks are providing numerous high-resolution genomic sequences of diverse populations. In order to account for diverse and admixed populations, new algorithmic tools are needed in order to properly capture the genetic composition of populat... read more 

A Framework Integrating Single-Cell Metallomic Data in Health Effect Analysis via Quantile Features and Machine Learning.

Environmental science & technology
Heavy and essential metals coexist in a cell, collectively participate in cellular biological processes, and lead to overall health consequences. However, current analytical strategies cause information loss when using aggregated features and are una... read more 

Machine Learning Assisted Prediction of Recovered Angle of Carbon Fiber Reinforced Shape Memory Epoxy Carbon Composites.

Macromolecular rapid communications
Shape memory polymers and their composites are promising smart materials for a wide range of applications associated with smart material-based actuators. Carbon fiber-reinforced shape memory epoxy composites can enable electroactive shape recovery vi... read more 

Unbiased clustering of acute-on-chronic liver failure patients using machine learning in a real-world ICU cohort.

Nature communications
Acute-on-chronic liver failure is a complex condition with varied definitions, complicating risk stratification and targeted management. We apply unsupervised clustering to data from 1,256 patients with acute-on-chronic liver failure as defined by th... read more 

A detachable crawling robotic hand.

Nature communications
The human hand is often viewed as the pinnacle of dexterity, and many robotic hands adopt anthropomorphic designs, while others pursue non-anthropomorphic forms for structural balance or task optimization. However, human-like asymmetry and reliance o... read more 

Large-scale serum N-glycomics tracks N-glycosylation dynamics in hepatocellular carcinoma progression and enables early diagnosis.

Nature communications
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, yet the role of N-glycosylation in its pathogenesis remains unclear. We applied a multi-center, large-cohort N-glycomics strategy combining isomer-specific glycan profiling with m... read more 

Metabolomics aided by machine learning decodes adaptive remodeling of Bacillus biofilms in response to pasteurization stress.

NPJ science of food
The popularity of low-temperature dairy products is challenged by Bacillus species, whose heat-resistant spores and biofilms often survive pasteurization. Moreover, heat treatment can paradoxically enhance biofilm formation in some Bacillus spp., a p... read more