AIMC Topic: Humans

Clear Filters Showing 41801 to 41810 of 95995 articles

[Quantitative Evaluation of Airway Lesions in Chronic Obstructive Pulmonary Disease by Applying Deep Learning Reconstruction to Ultra-high-resolution CT Images: Correlation between Wall Area Percentage and Forced Expiratory Volume in One Second Percentage].

Nihon Hoshasen Gijutsu Gakkai zasshi
PURPOSE: Using ultra-high-resolution images reconstructed with the Advanced intelligent Clear-IQ Engine (AiCE) lung to measure wall area percentage (WA%), we demonstrated that WA% measured in more distal bronchus has a stronger correlation with respi...

Finger dexterity measured by the Grooved Pegboard test indexes Parkinson's motor severity in a tremor-independent manner.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
Fine motor impairments are frequent complaints in people with Parkinson's disease (PD). While they may develop at an early stage of the disease, they become more problematic as the disease progresses. Tremors and fine motor symptoms may seem related,...

Challenges and opportunities associated with rare-variant pharmacogenomics.

Trends in pharmacological sciences
Recent advances in next-generation sequencing (NGS) have resulted in the identification of tens of thousands of rare pharmacogenetic variations with unknown functional effects. However, although such pharmacogenetic variations have been estimated to ...

Urodynamic assessment and quality of life outcomes of robot-assisted totally intracorporeal radical cystectomy and orthotopic neobladder for bladder cancer: a preliminary study.

World journal of urology
PURPOSE: Few data exist regarding the functional outcomes of robot-assisted radical cystectomy (RARC) with intracorporeal orthotopic neobladder. The aim of this study was to evaluate the urodynamic and functional outcomes in patients undergoing RARC ...

The current role of artificial intelligence in hemophilia.

Expert review of hematology
INTRODUCTION: The utilization of artificial intelligence (AI) in hemophilia is still in its early phases.

Predicting Total Drug Clearance and Volumes of Distribution Using the Machine Learning-Mediated Multimodal Method through the Imputation of Various Nonclinical Data.

Journal of chemical information and modeling
Pharmacokinetic research plays an important role in the development of new drugs. Accurate predictions of human pharmacokinetic parameters are essential for the success of clinical trials. Clearance (CL) and volume of distribution (Vd) are important ...

OARD: Open annotations for rare diseases and their phenotypes based on real-world data.

American journal of human genetics
Diagnosis for rare genetic diseases often relies on phenotype-driven methods, which hinge on the accuracy and completeness of the rare disease phenotypes in the underlying annotation knowledgebase. Existing knowledgebases are often manually curated w...

Intelligent Diagnosis Based on Double-Optimized Artificial Hydrocarbon Networks for Mechanical Faults of In-Wheel Motor.

Sensors (Basel, Switzerland)
To avoid the potential safety hazards of electric vehicles caused by the mechanical fault deterioration of the in-wheel motor (IWM), this paper proposes an intelligent diagnosis based on double-optimized artificial hydrocarbon networks (AHNs) to iden...

Effectiveness of robot-assisted virtual reality mirror therapy for upper limb motor dysfunction after stroke: study protocol for a single-center randomized controlled clinical trial.

BMC neurology
BACKGROUND: Upper limb motor dysfunction is a common sequela of stroke, and its clinical efficacy needs to be improved. This protocol describes a trial to verify the clinical efficacy of robot-assisted virtual reality mirror therapy (RAVRMT) in impro...

Field validation of deep learning based Point-of-Care device for early detection of oral malignant and potentially malignant disorders.

Scientific reports
Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool that empowers Frontline-Health-Workers (FHW). This study was conducted to validate the accuracy of Convolutional-Neural-Network (CNN) enabled m(mobile...