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
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
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
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
Cancer imaging : the official publication of the International Cancer Imaging Society
May 23, 2026
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 (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
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
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
Neuroscience and biobehavioral reviews
May 23, 2026
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
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