Artificial Intelligence Medical Compendium

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

Showing 19,821 to 19,830 of 215,899 articles

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 

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 

Teaching artificial intelligence through drug-drug interaction clustering analysis: Integrating project-based learning and large language models.

PLoS computational biology
In recent years, artificial intelligence (AI) has increasingly influenced daily life and scientific research. Traditionally, AI-related courses have targeted computer science majors, while systematic instructional opportunities for early-stage underg... read more 

Automating multi-label crisis detection in psychological support hotlines with pre-trained models.

PLOS digital health
Psychological support hotlines provide immediate help to individuals in crisis, with operators assessing emotional states and suicide risk. However, increasing demand has led to a shortage of trained professionals, emphasizing the need for AI-driven ... read more