Artificial Intelligence Medical Compendium

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

Showing 11,361 to 11,370 of 209,934 articles

Development and validation of the student readiness and anxiety scale for AI-assisted biology teaching (SRAS-AIBT).

Scientific reports
As the use of artificial intelligence in education increases, determining student readiness and anxiety has become a necessity; however, the lack of a measurement tool specific to biology education in the literature formed the basis of this study. Th... read more 

A High-Resolution Multifocal RGB Pollen Grain Image Dataset for Deep Learning Computer Vision Tasks from Biobío Region, Chile.

Scientific data
PollenBB16 is an RGB pollen image dataset of Chilean flora with pixel-accurate instance segmentation masks, whose annotation was fully verified by an expert palynologist to guarantee the taxonomic reliability of every published instance. The dataset ... read more 

Band gap engineering in Al, Cu, N and Al/Cu Co-doped ZnO thin films: experimental study and quantum machine learning prediction.

Scientific reports
This study investigates RF magnetron sputtered ZnO thin films doped with Al, Cu, N and co-doped with Al/Cu, followed by post deposition annealing at 300-600 °C. Structural and compositional characterization was performed by X ray diffraction (XRD) an... read more 

Lightweight deep learning model for nonconvulsive status epilepticus diagnosis using EEG time-frequency analysis.

Scientific reports
Nonconvulsive Status Epilepticus (NCSE) is a persistent epileptic seizure state whose detection primarily relies on visual EEG inspection. Automated algorithmic detection of NCSE can effectively increase the detection rate, enabling early interventio... read more 

Scaling antibody language models improves structure aware representation for antibody engineering.

Communications biology
Antibody language models have emerged as powerful tools in antibody engineering by capturing patterns in sequences to innovate discovery and optimization. While recent advances in machine learning have significantly enhanced this field, current appro... read more 

Rethinking bioinformatics expertise in the era of artificial intelligence.

NPJ digital medicine
Artificial intelligence (AI) is often framed as replacing scientific expertise, especially in bioinformatics. We argue instead that AI is a powerful accelerant whose value depends on expert guidance in design, data curation, interpretation, and gover... read more 

Digital literacy equity in AI-enhanced English learning: Access, participation, and implications for language education policy.

Scientific reports
Despite the rapid integration of artificial intelligence (AI) into English language education, significant disparities persist in learners' ability to benefit from AI-enhanced learning environments. Existing research has largely emphasized technologi... read more 

Ensemble machine learning with Bayesian optimization predicts bioactive extraction from fermented watermelon rind using natural deep eutectic solvents.

Scientific reports
A new integrated extraction strategy was established by combining natural solvent systems (NADES), microwave-assisted extraction, and machine learning techniques for optimizing the extraction of bioactive compounds from fermented watermelon rind. The... read more 

In silico discovery of novel small-molecule PD-L1 inhibitors through a multi-stage computational workflow integrating machine learning and molecular dynamics.

Journal of computer-aided molecular design
Cancer immunotherapy targeting the PD-1/PD-L1 pathway has transformed modern oncology; however, developing small-molecule inhibitors as viable alternatives to monoclonal antibodies remains a major challenge. In this study, an integrated computational... read more 

A multi-domain graph-integrated neural framework for robust acoustic anomaly detection under adverse environmental conditions.

Scientific reports
Acoustic event understanding and anomaly detection play a critical role in security monitoring, defence applications, and urban safety, yet current approaches struggle to generalise across noisy environments, rare event categories, and varying distan... read more