Artificial Intelligence Medical Compendium

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

Showing 53,831 to 53,840 of 225,930 articles

Reliable detection of Host-Microbe Signatures in cancer using PRISM.

Cancer cell
Recent controversy in the cancer microbiome field highlights the need for more reliable microbial detection from human genomic data. Here, we develop PRISM, an efficient computational framework for precise microorganism identification and decontamina... read more 

MultiSP deciphers tissue structure and multicellular communication from spatial multi-omics data.

Cell genomics
Recent breakthroughs in spatial multi-omics enable simultaneous profiling of different modalities while preserving tissue architecture, providing unprecedented opportunities to explore tissue complexity. However, due to the sparse and noisy nature of... read more 

mCSM-metal: A Deep Learning Resource to Predict Effect of Mutations on Metal Ion Binding.

Journal of molecular biology
Metal ions play critical structural, regulatory, and enzymatic roles in proteins, making their binding essential for biological processes. Experimental identification of metal-binding sites is resource-intensive and limited in scalability. Recent adv... read more 

Mechanism of action of piperine in the treatment of retinal ischemic injury based on bioinformatics and network pharmacology.

European journal of pharmacology
Piperine is a common anti-ischemic compound and an active ingredient of herbal medicine for various ailments. It is widely sourced and affordable. However, its bioactivity and anti-ischemic effects on retinal ischemic injury are unknown. The chemical... read more 

Novel insights into myocardial synchrony: A CMR-based approach for improving the detection of coronary artery disease at rest.

International journal of cardiology
BACKGROUND: We aimed to develop a novel cardiac magnetic resonance (CMR)-based method for quantifying myocardial synchrony and evaluate its diagnostic value in detecting myocardial dysfunction of coronary artery disease (CAD). METHODS: Consecutive pa... read more 

Contamination of organophosphate esters in soil surrounding paint factories: Machine learning-based distribution prediction and risk prioritization assessment.

Environmental pollution (Barking, Essex : 1987)
Organophosphate esters (OPEs) are widely used in paint industry. However, their contamination and risk in paint industry-related areas remain insufficiently characterized. In this study, 33 OPEs, including traditional and novel OPEs, and their dieste... read more 

[Radiological diagnosis of interstitial lung disease].

La Revue de medecine interne
Diffuse interstitial lung diseases (ILDs) represent a complex and heterogeneous group of pulmonary disorders, requiring a structured, rigorous, and integrated radiologic approach for accurate diagnosis. High-resolution computed tomography (CT) remain... read more 

Machine learning models for identifying urinary incontinence in women with a history of hysterectomy using basic demographic and clinical characteristics: A cross-sectional study.

International journal of medical informatics
BACKGROUND: Urinary incontinence (UI) in women with a history of hysterectomy represents a significant global health concern. It is crucial to clarify the association between hysterectomy for benign indications and UI to avoid unnecessary surgery. OB... read more