Artificial Intelligence Medical Compendium

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

Showing 72,111 to 72,120 of 235,116 articles

Multidrug-resistant pathogens in UTIs: A concise review of epidemiology, diagnostics, and patent landscaping for precision healthcare.

Diagnostic microbiology and infectious disease
UTIs are regarded as the second most prevalent global problem, with 150 to 250 million cases reported annually. Poor hygiene, anatomical abnormalities, and catheterization are the leading causes. Most UTI cases are caused by Escherichia coli and othe... read more 

A novel Convolutional Shuffle Attention Xtreme Gradient Boost Network for improved lung cancer detection using computed tomography images.

Computational biology and chemistry
Lung cancer is a severe and life-threatening type of cancer that originates in the lung tissues. Computed Tomography (CT) image emerges as the primary diagnostic tool for identifying lung cancer. However, manual interpretation of CT images necessitat... read more 

Driver Emotion Recognition Using Multimodal Signals by Combining Conformer and Autoformer.

International journal of neural systems
This study aims to develop a multimodal driver emotion recognition system that accurately identifies a driver's emotional state during the driving process by integrating facial expressions, ElectroCardioGram (ECG) and ElectroEncephaloGram (EEG) signa... read more 

Comparative effects of dynamic and static stretching on spasticity reduction in stroke patients using a robotic hand-wrist stretching device.

Topics in stroke rehabilitation
BACKGROUND: Spasticity is a common consequence of upper motor neuron syndrome, affecting approximately 42.6% of stroke patients and impairing quality of life. Although stretching is widely used, the optimal type and parameters remain unclear. OBJECTI... read more 

The Mediation of AI Trust on AI Uncertainties and AI Competence Among Nurses: A Cross-Sectional Study.

Journal of advanced nursing
AIM: This study aimed to validate the mediating role of nurses' AI trust in the relationship between AI uncertainties and AI competence. DESIGN: A cross-sectional study. METHODS: A purposive sample of 550 registered nurses with at least 1 year of cli... read more 

Creating Scale Measures of Latent Factors: A Genetic Algorithmic Approach.

Assessment
Genetic algorithms (GAs) are quantitative optimization techniques that have exclusively been utilized for scale abbreviation despite their potential application to new scale development. Here, we modeled the trait constructs of the triarchic psychopa... read more 

Generative Artificial Intelligence Methodology Reporting in Otolaryngology: A Scoping Review.

The Laryngoscope
OBJECTIVE: Researchers in otolaryngology-head and neck surgery (OHNS) have sought to explore the potential of large language models (LLMs), but many publications do not include crucial information, such as prompting approach and model parameters. Thi... read more 

AI demonstrates comparable diagnostic performance to radiologists in MRI detection of anterior cruciate ligament tears: a systematic review and meta-analysis.

European radiology
INTRODUCTION: Anterior cruciate ligament (ACL) injuries are among the most common knee injuries, affecting 1 in 3500 people annually. With rising rates of ACL tears, particularly in children, timely diagnosis is critical. This study evaluates artific... read more 

A radiomics nomogram utilizing T2-weighted MRI for accurate diagnosis of rectocele.

Abdominal radiology (New York)
BACKGROUND: Rectocele (RC) is a common pelvic organ prolapse (POP) that can cause obstructed defecation and reduced quality of life. Magnetic resonance defecography (MRD) offers high-resolution, radiation-free visualization of pelvic floor anatomy bu... read more