Artificial Intelligence Medical Compendium

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

Showing 451 to 460 of 158,332 articles

UBE2D1 as a key biomarker in systemic juvenile idiopathic arthritis: a new perspective on diagnosis and disease activity assessment.

Arthritis research & therapy
BACKGROUND: Early diagnosis is crucial for reducing disability and improving long-term prognosis in patients with systemic Juvenile Idiopathic Arthritis (sJIA), but it remains a significant challenge. This study aims to identify non-invasive biomarke...

Brain region localization: a rapid Parkinson's disease detection method based on EEG signals.

Medical & biological engineering & computing
Parkinson's disease (PD) is a prevalent neurodegenerative disorder worldwide, often progressing to mild cognitive impairment (MCI) and dementia. Clinical diagnosis of PD mainly depends on characteristic motor symptoms, which can lead to misdiagnosis,...

Real-Time jamming detection using windowing and hybrid machine learning models for pre-saturation alerts.

Scientific reports
This paper proposes a new deep learning and machine learning model for detecting deception and suppression jamming in Ublox-M8T receivers operating under GNSS interference. This solution employs XGBoost for real-time classification of jamming signals...

Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units.

Scientific reports
Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialize...

Applicability and performance of convolutional neural networks for the identification of periodontal bone loss in periapical radiographs: a scoping review.

Oral radiology
The study aimed to review the applicability and performance of various Convolutional Neural Network (CNN) models for the identification of periodontal bone loss (PBL) in digital periapical radiographs achieved through classification, detection, and s...

A Flexible Single-Sensor MEMS E-Nose with Dual-Temperature Modulation for VOCs Classification and Breath-Based Silent Communication.

Small (Weinheim an der Bergstrasse, Germany)
Electronic noses (e-noses) have become indispensable analytical platforms for gas detection. However, conventional e-nose systems face significant limitations in portable and wearable implementations due to their bulk and high-power consumption. Here...

Identifying Health Care Services Offered in the HIV Care Continuum via a Machine Learning-Based Topic Modeling Approach: Exploratory Literature Review.

JMIR public health and surveillance
BACKGROUND: It remains unclear whether the existing health care services reflect the HIV care continuum, which underscores the need for integrated care beyond viral suppression.

High-throughput LDI MS technology decodes the distinct metabolic landscape of prostate cancer in a large-scale cohort.

Biomarker research
BACKGROUND: Prostate cancer (PCa) remains a leading global malignancy, yet current diagnostic reliance on prostate-specific antigen (PSA) testing is limited by suboptimal sensitivity and specificity for early-stage detection. The present study aims t...

Attribution-based interpretable classification neural network with global and local perspectives.

Scientific reports
Neural networks are challenging to apply in domains requiring high reliability due to their black-box nature, and researchers are increasingly focusing on interpreting neural networks. While pursuing neural network performance, most methods often sac...