Artificial Intelligence Medical Compendium

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

Showing 25,861 to 25,870 of 217,905 articles

MethylSense: high accuracy machine learning-based diagnostics for Aspergillus fumigatus infection in chickens using host cell-free DNA methylation and Nanopore sequencing.

Journal of clinical microbiology
Avian aspergillosis, caused by Aspergillus fumigatus (Af), lacks sensitive antemortem diagnostics. Existing microbial cell-free DNA (cfDNA) tests are prone to contamination and require a high pathogen load. We hypothesized that infection-induced tiss... read more 

Artificial Intelligence in Rhinology: A State-of-the-Art Review of Clinical Readiness and Implementation Pathways.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: To critically evaluate advances in artificial intelligence (AI) within rhinology, focusing on translational readiness, regulatory alignment, and clinical implementation pathways. DATA SOURCES: PubMed and Scopus. REVIEW METHODS: PubMed and ... read more 

Ultrasensitive, Rapid, and Incubation-Free Surface-Enhanced Raman Scattering Detection of Sulfasalazine with a GF@PDDA-Ag/rGO Functionalized Membrane and Machine Learning.

Analytical chemistry
Developing rapid detection methods with high sensitivity and real-time capabilities is a critical challenge for monitoring antibiotic pollution. This study presents a flexible surface-enhanced Raman scattering (SERS) sensing substrate (GF@PDDA-Ag/rGO... read more 

Characterizing executive dysfunctions in patients with schizo-obsessive comorbidity: comparing schizophrenia with obsessive-compulsive disorder.

Psychological medicine
BACKGROUND: The term 'schizo-obsessive comorbidity (SOC)' is used to describe the presence of obsessive-compulsive symptoms or obsessive-compulsive disorder (OCD) in patients with schizophrenia (SOC). Recent studies have found overlapped executive dy... read more 

Hyper-scanning and hyper-pursuit define eye movement biomarkers of anxiety disorders.

The British journal of psychiatry : the journal of mental science
BACKGROUND: Anxiety disorders are highly prevalent yet lack objective biomarkers. Whereas threat-related attentional biases are well documented, less is known about broader eye movement alterations that may characterise anxiety. AIMS: To characterise... read more 

Repurposing genome skimming data for non-model plant functional phylogenetics: A case study in Rhodiola.

Annals of botany
BACKGROUND: Investigating the evolution of functional genes in non model plants is often hindered by the lack of reference genomes and transcriptomic resources, especially for taxa inhabiting extreme environments. Here, focusing on the salidroside bi... read more 

Pseudodata-Guided Invariant Representation Learning Boosts the Out-of-Distribution Generalization in Enzymatic Kinetic Parameter Prediction.

Journal of chemical information and modeling
Accurate prediction of enzyme kinetic parameters is essential for understanding catalytic mechanisms and guiding enzyme engineering. However, existing deep learning-based enzyme-substrate interaction (ESI) predictors often exhibit performance degrada... read more 

Correlation Between Outer Side Chain Design in Y-Series Small Molecule Acceptors and the Performance of Organic Photovoltaics.

Macromolecular rapid communications
Organic photovoltaics (OPVs) have witnessed remarkable advancements, with power conversion efficiencies (PCEs) now exceeding 20%, largely driven by innovation in non-fullerene acceptors (NFAs), especially Y-series acceptors. Side chain engineering is... read more 

The needle study: Machine learning as a new method for case-finding in celiac disease.

Journal of pediatric gastroenterology and nutrition
OBJECTIVES: Despite a well-defined diagnostic work-up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision-making on clinical d... read more 

Balancing opportunities and risks of artificial intelligence in drug policy and regulation.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
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