Artificial Intelligence Medical Compendium

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

Showing 50,331 to 50,340 of 224,814 articles

Automated Segmentation of Median Nerve Cross-Sectional Area in Healthy Controls and Patients With Carpal Tunnel Syndrome Using a Convolutional Neural Network.

Muscle & nerve
INTRODUCTION/AIMS: The cross-sectional area (CSA) of the median nerve (MN) is a key parameter for confirming carpal tunnel syndrome (CTS) with ultrasound. This study evaluates the performance of a convolutional neural network (CNN) with a 2D U-Net ar... read more 

Challenges for the Implementation of Artificial Intelligence in Healthcare in Developing Countries: Structural, Ethical and Technological Barriers.

The International journal of health planning and management
Artificial intelligence (AI) has been widely used in the health sector for diagnostic, assistance and guidance purposes. However, its expansion has come up against applicability barriers in underdeveloped countries due to structural, financial and te... read more 

Digital companions on the learning journey: exploring technological solutions for students with learning disabilities.

Disability and rehabilitation. Assistive technology
PURPOSE: The present study aims to systematically analyse the extant academic literature on the use of technology in learning difficulties, with a view to revealing conceptual structures, thematic clusters, and the developmental trajectory of the fie... read more 

AIQM3: Targeting Coupled-Cluster Accuracy with Semi-Empirical Speed across Seven Main-Group Elements.

Journal of chemical theory and computation
The AIQM series of methods are successful neural network-based models that target coupled-cluster accuracy while maintaining high robustness and transferability across various tasks by leveraging Δ-learning. However, the previous AIQM1 and AIQM2 mode... read more 

Symmetry-Sensitive Analysis of Molecular Graph Neural Network Models.

Journal of chemical information and modeling
Graph convolutional neural networks (GCNNs) have emerged as powerful tools for predicting molecular properties in chemistry. However, their black-box nature poses challenges for interpretability, hindering their widespread adoption. In this work, we ... read more 

Advancing DIA-Based Limited Proteolysis Workflows: Introducing DIA-LiPA.

Analytical chemistry
Limited proteolysis coupled to mass spectrometry (LiP-MS) probes protein conformational dynamics, but interpretation of LiP-MS data is complicated by heterogeneous proteolytic cleavage patterns and missing data. Recent advances in data-independent ac... read more 

Microbes: the invisible codes of forensic science.

Journal of applied microbiology
Microbial communities have recently emerged as promising biomarkers for forensic applications, offering novel perspectives to complement traditional approaches. This review summarizes advances in three key areas: soil evidence tracing, postmortem int... read more 

Compound Dry-Hot Events Intensify Widespread Lake Deoxygenation in China.

Environmental science & technology
Lake deoxygenation, driven by climatic warming and anthropogenic influences, threatens aquatic ecosystems. As climate change intensifies, compound dry-hot events (CDHEs) are projected to exert growing pressure on lake oxygen dynamics, yet their role ... read more 

An allostatic load domain-specific metabolic profile in young adults: The African-PREDICT study.

The Journal of physiology
Allostatic load scores (ALSs) quantify the cumulative physiological burden of sustained stress across neuro-endocrine, metabolic, cardiovascular and inflammatory domains; however ALS is heterogeneous in nature. Using domain-specific urinary metabolom... read more 

A novel framework for groundwater quality evaluation in industrial zone using unsupervised machine learning methods.

Environmental geochemistry and health
Population density, urbanization and industrialization are the rapidly increasing and it's causes severe damages to freshwater ecosystem. The present study aims to assess the quality of groundwater using integrated methods in the industrial zone of S... read more