AIMC Topic: Nervous System Diseases
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A Systematic Review of Genetics- and Molecular-Pathway-Based Machine Learning Models for Neurological Disorder Diagnosis.
International journal of molecular sciences
Jun 11, 2024
The process of identification and management of neurological disorder conditions faces challenges, prompting the investigation of novel methods in order to improve diagnostic accuracy. In this study, we conducted a systematic literature review to ide...
Machine Learning from Veno-Venous Extracorporeal Membrane Oxygenation Identifies Factors Associated with Neurological Outcomes.
Lung
May 30, 2024
BACKGROUND: Neurological complications are common in patients receiving veno-venous extracorporeal membrane oxygenation (VV-ECMO) support. We used machine learning (ML) algorithms to identify predictors for neurological outcomes for these patients.
Progress and trends in neurological disorders research based on deep learning.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 25, 2024
In recent years, deep learning (DL) has emerged as a powerful tool in clinical imaging, offering unprecedented opportunities for the diagnosis and treatment of neurological disorders (NDs). This comprehensive review explores the multifaceted role of ...
Neurological Diagnosis: Artificial Intelligence Compared With Diagnostic Generator.
The neurologist
May 1, 2024
OBJECTIVE: Artificial intelligence has recently become available for widespread use in medicine, including the interpretation of digitized information, big data for tracking disease trends and patterns, and clinical diagnosis. Comparative studies and...
A six degrees-of-freedom cable-driven robotic platform for head-neck movement.
Scientific reports
Apr 16, 2024
This paper introduces a novel cable-driven robotic platform that enables six degrees-of-freedom (DoF) natural head-neck movements. Poor postural control of the head-neck can be a debilitating symptom of neurological disorders such as amyotrophic late...
A machine learning algorithm based on circulating metabolic biomarkers offers improved predictions of neurological diseases.
Clinica chimica acta; international journal of clinical chemistry
Apr 15, 2024
BACKGROUND AND AIMS: A machine learning algorithm based on circulating metabolic biomarkers for the predictions of neurological diseases (NLDs) is lacking. To develop a machine learning algorithm to compare the performance of a metabolic biomarker-ba...
Artificial Intelligence and Disease Modeling: Focus on Neurological Disorders.
Clinical pharmacology and therapeutics
Mar 13, 2024
PedBotLab: A Novel Video Game-Based Robotic Ankle Platform Created for Therapeutic Exercise for Children With Neurological Impairments.
Physical & occupational therapy in pediatrics
Feb 28, 2024
AIMS: Assess the potential benefits of using PedBotLab, a clinic based robotic ankle platform with integrated video game software, to improve ankle active and passive range of motion, strength, selective motor control, gait efficiency, and balance.
Deep learning models reveal replicable, generalizable, and behaviorally relevant sex differences in human functional brain organization.
Proceedings of the National Academy of Sciences of the United States of America
Feb 20, 2024
Sex plays a crucial role in human brain development, aging, and the manifestation of psychiatric and neurological disorders. However, our understanding of sex differences in human functional brain organization and their behavioral consequences has be...
Artificial intelligence in neurology: opportunities, challenges, and policy implications.
Journal of neurology
Feb 17, 2024
Neurological conditions are the leading cause of disability and mortality combined, demanding innovative, scalable, and sustainable solutions. Brain health has become a global priority with adoption of the World Health Organization's Intersectoral Gl...
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