Artificial Intelligence Medical Compendium

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

Showing 18,851 to 18,860 of 214,544 articles

Accurate proteome-wide prediction of enzymes and catalytic sites using graph deep learning and protein language model.

GigaScience
Identifying the enzyme functions of proteins and their catalytic residues are vital to our understanding of diverse cellular processes. However, existing frameworks that can concurrently determine the enzymatic functions and active sites of proteins ... read more 

A context-free model of savings in motor learning.

eLife
Learning to adapt voluntary movements to an external perturbation, whether mechanical or visual, is faster during a second encounter than during the first. The mechanisms underlying this phenomenon, known as savings, remain unclear. Recent studies pr... read more 

An Intelligent Photocatalytic Self-Cleaning SERS Platform with Machine Learning for On-Site Detection of Multiple Antibiotics.

ACS sensors
The widespread use of antibiotics in aquaculture has led to persistent residues in aquatic environments, necessitating the development of sensitive, sustainable, and on-site detection methods. This study presented an intelligent surface-enhanced Rama... read more 

Equitable Digital Frailty Screening for Marginalized Older Adults Using Audio Computer-Assisted Self-Interview: Collaborative Development Guide and User Testing Study.

JMIR formative research
BACKGROUND: Older adults facing social or structural marginalization for reasons such as lower literacy, digital exclusion, financial constraints, restricted living environments, or complex health histories, face persistent barriers to much-needed he... read more 

The influence of global artificial intelligence on accessibility design for people with disabilities: trends, hotspots and emerging technologies.

Disability and rehabilitation. Assistive technology
PURPOSE: With the rapid advancement of artificial intelligence, applications in accessibility design for persons with disabilities are continually expanding. However, the related research remains fragmented, with insufficient evidence regarding the p... read more 

Hybrid attention-based multi-class classification of Ethiopian legal texts using deep learning.

PloS one
The exponential growth of legal documents in Ethiopia has created an urgent need for efficient and accurate automated classification systems tailored to the country's unique linguistic and legal contexts. This study presents an enhanced deep learning... read more 

Validation of deep learning enabled web based and smartphone optimized application RadAnalyzer to measure vertebral heart size and vertebral left atrial size in dogs.

PloS one
BACKGROUND: Objective radiographic measures of heart size including vertebral heart size (VHS) and vertebral left atrial size (VLAS) are associated with inter and intra-observer variability when measured by humans. Artificial intelligence (AI) tools ... read more 

A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains.

International journal of neural systems
The efficient online decomposition of high-density surface electromyogram (HD-sEMG) into motor unit spike trains (MUSTs) remains a substantial challenge. In this study, a novel deep learning (DL) framework is presented. The framework leverages a hybr... read more 

Usefulness of lung sound data collection using Skeeper SM-300® device: A pilot study.

PloS one
BACKGROUND: Digital stethoscope has been introduced to clinical practice and are developing in many aspects. Overwhelming pandemic requires non-contact healthcare support, and recent growth of artificial intelligence necessitates high-quality data co... read more 

Generative adversarial networks-based Image-to-Image translation allows tumor consistency prediction from standard MR images in pituitary adenomas.

PLOS digital health
Generative adversarial networks (GANs) offer potential in cross-modality image translation, but their application in pituitary adenomas remains uncertain. This study was to assess the feasibility of a GAN-based deep learning algorithm for generating ... read more