Artificial Intelligence Medical Compendium

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

Showing 41 to 50 of 168,416 articles

A study on the effectiveness of machine learning models for hepatitis prediction.

Scientific reports Aug 20, 2025
Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks ... read more 
Support Vector Machine Hepatitis Adult Male Middle Aged Female Aged Neural Networks, Computer Machine Learning Algorithms Humans

Machine learning model for early diagnosis of breast cancer based on PiRNA expression with CA153.

Scientific reports Aug 20, 2025
PIWI-interacting RNAs (piRNAs) have been implicated in the biological processes of various cancers. This study aimed to investigate the diagnostic potential of circulating piRNAs in breast cancer (BC) using machine learning (ML) frameworks. A serum t... read more 
Humans Machine Learning Algorithms Female Early Detection of Cancer Adult RNA, Small Interfering Breast Neoplasms Piwi-Interacting RNA Biomarkers, Tumor Middle Aged Gene Expression Regulation, Neoplastic

A comprehensive deep learning approach to improve enchondroma detection on X-ray images.

Scientific reports Aug 20, 2025
An enchondroma is a benign neoplasm of mature hyaline cartilage that proliferates from the medullary cavity toward the cortical bone. This results in the formation of a significant endogenous mass within the medullary cavity. Although enchondromas ar... read more 
Radiography Chondroma Middle Aged Deep Learning Bone Neoplasms Adult Male Humans Algorithms Female

Integrating Patient Perspectives Into the Digital Health Technology Readiness Framework: Delphi Study.

Journal of medical Internet research Aug 20, 2025
BACKGROUND: Digital health technologies-including mobile applications, telemedicine platforms, artificial intelligence, and eHealth tools-are transforming health care delivery by enhancing access, personalization, and efficiency. However, traditional... read more 
Patient Participation Humans Digital Health Delphi Technique Telemedicine

Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention.

Scientific reports Aug 20, 2025
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and often lack crucial diagnostic details, particularly within the cell nuclei... read more 
Humans Deep Learning Image Processing, Computer-Assisted Cell Nucleus Frozen Sections

Automatic detection of cognitive events using machine learning and understanding models' interpretations of human cognition.

Scientific reports Aug 20, 2025
The pupillary response is a valuable indicator of cognitive workload, capturing fluctuations in attention and arousal governed by the autonomic nervous system. Cognitive events, defined as the initiation of mental processes, are closely linked to cog... read more 
Pupil Adult Machine Learning Arousal Emotions Humans Female Male Memory, Short-Term Young Adult Cognition Attention

Deep learning-based spatial analysis on tumor and immune cells of pathology images predicts MIBC prognosis.

PloS one Aug 20, 2025
OBJECTIVE: Muscle-invasive bladder cancer (MIBC) is a highly aggressive disease with a poor prognosis. This study aims to explore the correlation between the spatial distribution of lymphocyte aggregates and the prognosis of MIBC using deep learning. read more 
Aged Tumor Microenvironment Male Prognosis Female Urinary Bladder Neoplasms Humans Middle Aged Lymphocytes Neural Networks, Computer Deep Learning Spatial Analysis Lymphocytes, Tumor-Infiltrating

Predicting in-hospital mortality in ICU patients with lymphoma using machine learning models.

PloS one Aug 20, 2025
BACKGROUND: Lymphoma is a severe condition with high mortality rates, often requiring ICU admission. Traditional risk stratification tools like SOFA and APACHE scores struggle to capture complex clinical interactions. Machine learning (ML) models off... read more 
Machine Learning Retrospective Studies Intensive Care Units Humans Middle Aged Hospital Mortality ROC Curve Lymphoma Aged Adult Male Female Risk Factors

A dynamic examination of the digital circuit implementing the Fitzhugh-Nagumo neuron model with emphasis on low power consumption and high precision.

PloS one Aug 20, 2025
Neuromorphic computing has got more attention in various tasks during recent years. The main goal of this field is to explore neural functionality in the brain. The studies of spiking neurons and Spiking Neural Networks (SNNs) are vital to understand... read more 
Neural Networks, Computer Algorithms Computer Simulation Humans Models, Neurological Neurons

Bipartite synchronization for inertia memristor-based neural networks on coopetition networks.

Neural networks : the official journal of the International Neural Network Society Nov 29, 2019
This paper addresses the bipartite synchronization problem of coupled inertia memristor-based neural networks with both cooperative and competitive interactions. Generally, coopetition interaction networks are modeled by a signed graph, and the corre... read more 
Neural Networks, Computer
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