Artificial Intelligence Medical Compendium

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

Showing 12,131 to 12,140 of 210,314 articles

Parallel AI-driven framework for post-quantum secure medical image communication using swin-transformer restoration.

BioData mining
Reliable and secure transmission of medical images is essential for telemedicine, remote diagnosis, and distributed healthcare systems. However, medical image communication over heterogeneous networks often suffers from packet loss, channel noise, an... read more 

AI-assisted radiomics for classification of benign and non-benign right heart masses in 2D-echocardiography.

Journal of translational medicine
BACKGROUND: The rarity of right heart masses challenges diagnostic proficiency, while reproducibility is affected by the echocardiography operator. Artificial intelligence (AI)-based imaging tools may help address these limitations. METHODS: In this ... read more 

Coformer: a deep learning-based framework for cross-environment and multi-year cotton phenotype prediction and interpretation.

Plant methods
Accurate prediction of key agronomic traits in cotton is crucial for advancing its genetic improvement and enabling breeding-by-design. However, when using high-dimensional genomic data (e.g., massive SNP markers) for prediction, traditional models o... read more 

Future Pharmacists in the Age of Artificial Intelligence: A Mixed-Methods Study of First-Year Students in Vietnam.

BMC medical education
OBJECTIVES: To assess AI readiness, perceptions, and usage patterns among first-year pharmacy students, and to identify factors associated with AI engagement. METHODS: A mixed-methods study was conducted among 220 first-year pharmacy students. Quanti... read more 

Application Value of a nomogram integrating contrast-enhanced CT radiomics and clinical indicators in evaluating lymph node metastasis in pediatric peripheral neuroblastoma.

Cancer imaging : the official publication of the International Cancer Imaging Society
OBJECTIVE: To construct a machine learning model using contrast-enhanced CT radiomics and clinical indicators, aiming to improve the diagnostic accuracy for lymph node metastasis in children with peripheral neuroblastoma and provide practical evidenc... read more 

Liquid Crystal Elastomers Filaments for Adaptive Textiles and Soft Robotics: A Processing-Centric Review.

Macromolecular rapid communications
Liquid crystal elastomers (LCEs) combine mesogenic orientational order with rubber elasticity, enabling large, reversible actuation for applications in soft robotics, smart textiles, artificial muscles, and adaptive structures. However, translating L... read more 

Exploring the oasis of plant genomes: From genetic variations to function and beyond.

Molecular plant
For decades, plant geneticists have been striving to elucidate the biological mechanisms by which genetic variations (GVs) influence complex traits. Plant breeders, in turn, create, select, and combine desirable GVs based on a full evaluation of GVs ... read more 

From trial-and-error to intelligent prediction: Machine learning drives eco-efficient gold leaching in e-waste.

Journal of environmental management
Recovering gold (Au) from e-waste is critical for sustainable resource management, yet traditional optimization methods face challenges such as excessive reagent use, lengthy experimentation, and environmental risks from iterative trials. To address ... read more 

From eye to AI: studying rodent social behavior in the era of machine learning.

Neuroscience and biobehavioral reviews
The study of rodent social behavior has shifted in recent years from relying on direct human observation to more nuanced approaches that integrate computational methods from artificial intelligence (AI) and machine learning. While conventional method... read more