Artificial Intelligence Medical Compendium

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

Showing 48,521 to 48,530 of 224,199 articles

Interpretable Machine Learning for Stroke Recovery: Predicting Discharge and 3-Month Functional Outcomes.

NeuroRehabilitation
IntroductionStroke is a leading cause of disability worldwide. This study uses Machine Learning models to investigate factors influencing modified Rankin Scale scores at discharge and three months post-discharge.MethodsData from 116 stroke patients w... read more 

Fine-Grained Analysis of Nonparametric Estimation for Pairwise Learning.

IEEE transactions on neural networks and learning systems
In this article, we are concerned with the generalization performance of nonparametric estimation for pairwise learning. Most of the existing work requires the hypothesis space to be convex or a VC-class, and the loss to be convex. However, these res... read more 

Bimodal EEG-fNIRS and Deep Learning for Classifying Intensity-Dependent Cortical Auditory Evoked Responses.

IEEE journal of biomedical and health informatics
Detection of intensity-dependent cortical auditory evoked responses using electroencephalography (EEG) is essential in clinical audiology and research on neurological disorders. While EEG remains the gold standard for monitoring brain activity, funct... read more 

Encoding and Decoding of Brain Dynamic Functional Connectivity for ADHD Diagnosis.

IEEE journal of biomedical and health informatics
Recent studies have demonstrated strong associations between the changes in dynamic functional connectivity (FC) and both behavioral and cognitive functions. The sliding window technique is the most widely used method for evaluating dynamic FC; howev... read more 

Practical Prescribed-Time Cooperative Path Following of Underactuated Multi-ASVs Without Velocity Measurements via Intermittent Control.

IEEE transactions on cybernetics
In this article, the problem of practical prescribed-time (PT) cooperative path following (CPF) is investigated for underactuated autonomous surface vehicles (ASVs), which are not equipped with velocity sensors and subject to unmodeled dynamics and a... read more 

HD-sEMG-Based Control Using Neck Muscles and Shallow Neural Networks: Assessing Performance in Rehabilitation-Oriented Tasks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper investigated the suitability of the integrated Recursive Rehabilitation Control Network (RRC-Net)/ High-Density Electrode Array (HDE-Array) system for performing two multi-Degree of Freedom (DoF) control tasks, developed as proxies for Fun... read more 

From fermentation to function: a critical review of lactic acid bacteria redesign for functional foods and precision nutrition.

Critical reviews in food science and nutrition
Lactic acid bacteria (LAB) have transitioned from their traditional roles in food preservation and flavor enhancement to more advanced applications supported by synthetic biology, genome editing, and artificial intelligence (AI). This review provides... read more 

Nursing Professional Organisations as Human Rights Intermediaries: Towards an Integrated Framework of Stakeholdership for Healthcare AI Governance.

Journal of clinical nursing
AIM: To propose a normative framework that guides nursing professional organisations to act as human rights intermediaries in the governance of artificial intelligence in healthcare. DESIGN: Discursive paper. RESULTS: The paper presents a triaxial fr... read more 

Healthcare applications of 0-1 neural networks in prescriptive problems with observational data.

Health care management science
A key challenge in medical decision making is learning treatment policies for patients with limited observational data. This challenge is particularly evident in personalized healthcare decision-making, where models need to take into account the intr... read more