Artificial Intelligence Medical Compendium

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

Showing 11,631 to 11,640 of 210,187 articles

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

Scientific reports May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 

Integrating single-cell and bulk transcriptomic analyses to explore key lactylation-related genes in benign prostatic hyperplasia.

Scientific reports May 25, 2026
Benign prostatic hyperplasia (BPH) is a prevalent age-related disorder characterized by chronic inflammation, metabolic dysregulation, and abnormal cellular proliferation. Protein lactylation, an emerging post-translational modification closely assoc... read more 

Electrical discharge machining of Ti6Al4V in deionized water: surface integrity and wear response for medical applications.

Scientific reports May 25, 2026
Titanium alloys are widely used in medical applications, particularly in dentistry and orthopedics, due to their biocompatibility, corrosion resistance, and low density. Electrical Discharge Machining (EDM) offers an effective method for producing mi... read more 

Comparative analysis of support vector machines, artificial neural network, random forest and gradient boosting for predictive maintenance in mining machinery and equipment: a case study of Chadormalu Iron Ore Mine.

Scientific reports May 25, 2026
The detection and prediction of the condition of machinery and transportation systems in the mining industry are of critical importance due to their direct impact on productivity, maintenance cost reduction, and operational safety. Given the high cos... read more 
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