Artificial Intelligence Medical Compendium

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

Showing 42,721 to 42,730 of 223,853 articles

The mediating role of positive orientation in the relationship between personality traits and attitudes towards artificial intelligence.

PloS one Mar 11, 2026
This study examines the mediating role of the positive orientation relationship between personality traits (extraversion, neuroticism, openness to experience, agreeableness, and conscientiousness) and attitudes towards artificial intelligence. The st... read more 

What do editors of medical journals think about opportunities and barriers to advancement in the publication of plain language summaries? A qualitative analysis.

PloS one Mar 11, 2026
BACKGROUND: Plain language summaries (PLSs) are short summaries of research articles written for a diverse audience, using plain, easy-to-understand language. Although they have been adopted by many health and medical journals, we have a limited unde... read more 

Multi-source harmonic estimation method for distribution networks based on variational modal decomposition.

PloS one Mar 11, 2026
To address the limitation of harmonic monitoring on the low-voltage side of distribution networks, this paper proposes a multi-source harmonic estimation method based on variational mode decomposition. The method integrates short-term test data with ... read more 

Scenario-based forecasting of the global energy demand and carbon footprint of artificial intelligence.

PloS one Mar 11, 2026
Artificial intelligence (AI) is advancing rapidly and is emerging as a significant driver of global electricity consumption, yet its long-term energy and emissions implications remain poorly quantified. This study develops a scenario-based, simulatio... read more 

MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors.

PLoS computational biology Mar 11, 2026
Identifying effector proteins of secretion systems in Gram-negative bacteria is crucial for deciphering their pathogenic mechanisms and guiding the development of antimicrobial strategies. Extracting evolutionary and sequence features using pre-train... read more 

Large-scale paired chain BCR analysis reveals antibody clonal family inference bias and enhances resolution with machine learning.

PLoS computational biology Mar 11, 2026
A fundamental question in immunology is how the adaptive immune system encodes antigen specificity while maintaining repertoire diversity. B cell receptor (BCR) or antibody clonal families, defined by groups of B cells descending from a common ancest... read more 

Improved AIS data simplification algorithm for extracting typical routes considering motion continuity.

PloS one Mar 11, 2026
Automatic Identification System (AIS) data provides crucial information about vessel trajectories. However, raw AIS data is often highly redundant, containing overlapping and repetitive routes, which complicates its direct use in maritime application... read more 

Towards equitable and immersive outdoor orienteering: An artificial intelligence-driven multi-objective route planning framework with augmented sand cat swarm optimization.

PloS one Mar 11, 2026
Outdoor orienteering has emerged as a globally popular recreational activity and competitive sport, combining navigational challenges with physical endurance across diverse natural terrains. Despite its growing popularity, the design of optimal orien... read more 

MultiPert: An adversarial alignment and dual attention framework for single-cell multi-omics perturbation prediction.

PLoS computational biology Mar 11, 2026
Precise prediction of perturbation responses is essential in systems biology research, as it plays a pivotal role in characterizing cellular identities and elucidating the regulatory mechanisms of biological pathways. Existing perturbation-responses ... read more 

ESC-YOLOv8: An enhanced deep learning framework for semantic understanding of single-line diagram imagery.

PloS one Mar 11, 2026
Accurate interpretation of single-line diagrams (SLDs) is crucial for analyzing electrical systems, as they encapsulate vital information about operational safety and efficiency in a simplified format. Traditional SLD processing methods rely on manua... read more 
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