Artificial Intelligence Medical Compendium

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

Showing 50,361 to 50,370 of 224,814 articles

A Defect Dataset for Electrode Coating Manufacturing.

Scientific data
Electrode is a key component of many energy storage and energy conversion devices such as batteries and fuel cells. Defects in electrodes can significantly influence device performance and reliability and thus need to be monitored and eliminated duri... read more 

Effect of feature extraction on underwater moving body cavitation pressure reconstruction and prediction.

Scientific reports
The analysis of cavitation pressure for high-speed underwater moving bodies is critical for hydrodynamic performance and stability. However, traditional methods relying on physical experiments or high-fidelity CFD simulations are computationally expe... read more 

AI accelerate the identification of druggable targets by 3D structures of proteins and compounds.

NPJ precision oncology
Artificial intelligence (AI) is being used in oncological drug development to address the high costs, low success rates, and long timelines that characterize traditional drug development pipelines. The use of machine learning (ML) and deep learning (... read more 

Spatiotemporal-decoupled interactive learning for traffic flow prediction.

Scientific reports
Accurate traffic flow prediction is a core capability of intelligent transportation systems, supporting trip planning, network dispatch, and management decisions. Most existing approaches overlook interactive learning of spatiotemporal dependencies a... read more 

Automatic detection of single-electron regime and virtual gate definition in quantum dots using U-Net and clustering.

Scientific reports
To realize practical quantum computers, a large number of quantum bits (qubits) will be required. Semiconductor spin qubits offer advantages such as high scalability and compatibility with existing semiconductor technologies. However, as the number o... read more 

Kinic index: an artificial intelligence-driven predictive model and multitarget drug discovery framework for hepatocellular carcinoma patients.

NPJ precision oncology
Hepatocellular carcinoma (HCC) remains a major global health challenge due to its molecular heterogeneity, late diagnosis, and limited therapeutic options. Recent studies have identified isonicotinylation (Kinic), a novel lysine acylation, as a regul... read more 

Comparative performance of AI models on case-based oral medicine questions across Bloom's taxonomy levels and subtopics.

Odontology
Artificial intelligence (AI) chatbots are increasingly used by dental students for self-directed learning, yet their performance in specialty-level subjects like oral medicine remains underexplored. As oral medicine encompasses diagnostic and clinica... read more 

A hierarchical interaction message net for accurate molecular property prediction.

Communications chemistry
Discovering molecules with desirable molecular properties, including ADMET profiles, is of great importance in drug discovery. Existing approaches typically employ deep learning models, such as Graph Neural Networks and Transformers, to predict these... read more