Artificial Intelligence Medical Compendium

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

Showing 69,501 to 69,510 of 234,067 articles

Adversarial unpaired disentanglement network (AUDNet): Precise analysis of severely overlapping CS2/SO2 signals in UV-DOAS.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
CS₂ and SO₂ are typical characteristic gases for evaluating the insulation status of gas-insulated switchgear. Their significant absorption peaks in the ultraviolet band make ultraviolet differential optical absorption spectroscopy (UV-DOAS) an ideal... read more 

Global analysis of mineral aerosol and industrial effects on lake water quality using spectral indices and machine learning.

Water research
The complex physical and chemical interactions between desert mineral aerosol, industrial pollutants, and lake water during drought periods pose significant challenges for accurately assessing lake water quality. This study analyzes Spectral Water Qu... read more 

Spectral anomaly detection in physiological time-series data: A systematic review.

International journal of medical informatics
BACKGROUND: The identification of anomalies in physiological time-series data, specifically ECG and EEG spectra, is a key part of the diagnostic process for patients who may be experiencing cardiac arrest or epileptic seizures. The application of mac... read more 

FedPCL-CDR: A federated prototype-based contrastive learning framework for privacy-preserving cross-domain recommendation.

Neural networks : the official journal of the International Neural Network Society
Cross-domain recommendation (CDR) aims to improve recommendation accuracy in sparse domains by transferring knowledge from data-rich domains. However, existing CDR approaches often assume that user-item interaction data across domains is publicly ava... read more 

High-throughput sequencing reveals microbial transitions in refrigerated sturgeon meat: Implications for quality assurance.

International journal of food microbiology
This study investigated the microbially driven spoilage mechanism of sturgeon (Acipenser baerii) under refrigerated (4 °C) aerobic storage. High-throughput sequencing analysis revealed that Pseudomonas and Shewanella dominated late-stage spoilage, wh... read more 

Combatting antimicrobial-resistant Neisseria gonorrhoeae: new antibiotics and the pipeline of antigonococcal therapeutics.

Current opinion in infectious diseases
PURPOSE OF REVIEW: Gonorrhea is the second most prevalent bacterial sexually transmitted infection globally. The proliferation of antimicrobial-resistant strains has severely limited treatment options. New treatment modalities against multidrug-resis... read more 

Anterior segment optical coherence tomography imaging in angle closure: advances in diagnosis and care.

Current opinion in ophthalmology
PURPOSE OF REVIEW: To highlight emerging applications of anterior segment optical coherence tomography (AS-OCT) in the diagnosis, risk stratification, and management of angle closure glaucoma, with particular emphasis on the integration of artificial... read more 

Artificial intelligence and transplanting the elderly.

Current opinion in organ transplantation
PURPOSE OF REVIEW: The integration of artificial intelligence into allocation, organ retrieval and transplantation processes represents an innovative approach to address these challenges and enhance the efficiency and effectiveness of healthcare deli... read more 

Dynamic infrared thermography in free flap surgery: A systematic review.

JPRAS open
BACKGROUND: Dynamic infrared thermography (DIRT) is increasingly being utilized for perforator selection and perfusion assessment in reconstructive microsurgery, particularly in procedures such as deep inferior epigastric perforator (DIEP) flap recon... read more 

EIOFX-DT: Leveraging graph centrality metrics for feature extraction and classification of viral genetic sequences.

Biotechnology reports (Amsterdam, Netherlands)
Many diseases have a genetic origin, and analyzing intracellular structures through genetic data yields specific features for the diagnosis and classification of viral disease samples. In this study, 30 types of viruses were analyzed using a graph-ba... read more