Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 1,981 to 1,990 of 200,859 articles
Beyond natural evolution: multi-scale in vivo mutagenesis toolkits for synthetic evolution.
Trends in biotechnology
May 30, 2026
Our current industrial, agricultural, and medical practices exploit the extraordinary biodiversity generated through billions of years of natural evolution. Despite their high fitness in native habitats, biomolecules and organisms are often not optim... read more
Assessing Image Quality and Diagnostic Performance of Quadruple-Low Coronary CT Angiography with Deep Learning in High-BMI Patients.
Academic radiology
May 30, 2026
RATIONALE AND OBJECTIVES: To examine the feasibility of a quadruple-low protocol in coronary computed tomography angiography (CCTA) assisted by the deep learning image reconstruction (DLIR) for participants with high body mass index (BMI). MATERIALS ... read more
Beyond petrochemicals: challenges and opportunities in industrial-scale biomanufacturing.
Nature communications
May 30, 2026
Biomanufacturing offers a sustainable alternative to petrochemical manufacturing by harnessing engineered microorganisms to convert renewable feedstocks into diverse value-added products. Systems metabolic engineering has driven its advancement, enab... read more
Children use algorithm induction to discover patterns in data.
Nature communications
May 30, 2026
Humans are unique in our ability to acquire diverse skills and inhabit myriad environments, but the cognitive mechanisms underlying such fast, flexible learning remain unresolved. Inspired by theories of artificial intelligence, here we show evidence... read more
The spatial proteome of the Plasmodium falciparum schizont illuminates the composition and evolutionary trajectories of its organelles.
Nature communications
May 30, 2026
Malaria is caused by apicomplexan parasites of the genus Plasmodium, with all malaria symptoms and pathology caused by parasite stages that develop within, or transit between, host erythrocytes. The ability of Plasmodium cells to parasitise erythrocy... read more
Development and validation of a sensor-integrated smart driving test system for automated, scalable, and objective driver performance evaluation.
Scientific reports
May 30, 2026
Evaluating driver proficiency remains a fundamental determinant of road safety, regulatory adherence, and public confidence in licensing systems. This paper presents the Smart Driving Test System (SDTS), a fully integrated, sensor-based, microcontrol... read more
Machine learning and SHAP interpretation for predicting coronary heart disease-diabetes comorbidity with dietary antioxidants.
Scientific reports
May 30, 2026
Coronary heart disease (CHD) and diabetes mellitus frequently co-occur through shared mechanisms such as oxidative stress and inflammation. Whether specific dietary antioxidants mitigate CHD-diabetes comorbidity remains unclear. Using National Health... read more
Machine learning-based screening model for Tic disorders comorbid with attention-deficit/hyperactivity disorder in children and SHAP value interpretation: a retrospective observational study.
Scientific reports
May 30, 2026
Tic disorders (TD) are common neurodevelopmental conditions in children and adolescents, characterized primarily by motor and vocal tics, with heterogeneous symptom presentations and significant fluctuations. Concurrently, attention-deficit/hyperacti... read more
Intelligent financial forecasting using transformers, neuro-symbolic AI, and agent-based systems.
Scientific reports
May 30, 2026
Forecasting the stock market is a difficult task because of the volatile price movements and complex temporal dependencies. Established models frequently do not realize these unstable trends, which leads to changeable forecasting. This paper introduc... read more
Machine learning-driven image encryption using SVM for enhanced security and computational efficiency.
Scientific reports
May 30, 2026
A balance between security and computational efficiency is a key goal in image encryption. Traditional methods involve a number of calculations to achieve satisfactory resilience and make it hard to use in real-time environments. This research offers... read more
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- Machine Learning 32655
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- Neural networks : the official journal of the International Neural Network Society 3053
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
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- IEEE transactions on neural networks and learning systems 927
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- Computer methods and programs in biomedicine 896