Artificial Intelligence Medical Compendium

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

Showing 111 to 120 of 199,772 articles

Learning continuous activation fields from microscopic SEM images of lycoperdioid fungi via CNN-guided neural operator modeling.

Scientific reports Jun 3, 2026
Accurate interpretation of microscopic morphological features is critical for resolving taxonomic boundaries in morphologically similar fungal taxa, yet conventional image analysis approaches largely rely on discrete classification or pixel-level seg... read more 

New energy demonstration urban construction enhances ecological environmental resilience: evidence from China.

Scientific reports Jun 3, 2026
Renewable energy is a cornerstone for addressing ecological degradation, resource depletion and climate risk. Can the new energy demonstration urban construction (NEDC) as an important policy tool of renewable energy development improve ecological en... read more 

Evaluating eye-tracking as a method for deception detection against the polygraph as deployed in practice.

Scientific reports Jun 3, 2026
Can credibility assessment be based on methods more reliable than those currently used? Traditional polygraph examinations, although widely employed, have well-documented limitations, motivating the search for alternative, noninvasive approaches. In ... read more 

Experimental-AI approach (hybrid) for evaluating the strength characteristics of eco-efficient concrete incorporating coal bottom ash.

Scientific reports Jun 3, 2026
Thermal power stations generate large amount of coal bottom ash (CBA), which is mostly disposed of in landfills, creating environmental hazards. At the same time, the continual use of natural aggregate in concrete is depleting resources. Present stud... read more 

Adaptive spatiotemporal graph learning for multi-horizon probabilistic wind power forecasting.

Scientific reports Jun 3, 2026
Accurate and reliable forecasting of wind power generation is a cornerstone for ensuring the operational flexibility, economic efficiency, and grid stability of modern power systems with high renewable penetration. While recent advances in deep learn... read more 

privateST: a feasible framework for privacy-preserving spatial transcriptomics prediction from histopathology images.

Scientific reports Jun 3, 2026
Predicting spatial transcriptomics from histology images offers cost-effective insights but faces privacy barriers preventing cross-institutional data sharing. To address this, we present privateST, a homomorphic-encryption-optimized framework that s... read more 

ScaHybNet: a scalogram-based hybrid ensemble network for ECG arrhythmia classification.

Scientific reports Jun 3, 2026
Cardiovascular diseases are the leading cause of death in the world, requiring the accurate and timely detection of arrhythmias to prevent sudden cardiac death. In this work, ScaHybNet, a deep learning ensemble model is proposed for multi-class arrhy... read more 

Intercomparison case study of data-driven reconstructions of a cloud-obscured Saharan dust plume in Europe.

Scientific reports Jun 3, 2026
On 15 March 2022 an intense, but partially cloud-obscured, Saharan dust plume was transported towards Europe by an atmospheric river. Ten-year statistics of dust plumes co-occurring with cloud cover over Europe highlights that regionally up to 100% o... read more 

Quantitative measurement of agonistic behaviors of intra- and interspecifics of Gryllus bimaculatus and Acheta domesticus by using DeepLabCut.

Scientific reports Jun 3, 2026
Animal social behavior, such as agonistic behavior, has been extensively studied for a long time since it is one of the key factors that influence the survivability and reproductive success in many animals, including crickets. Gryllus bimaculatus, a ... read more 

Machine learning-driven prediction of mechanical properties of lightweight concrete based on experimental data.

Scientific reports Jun 3, 2026
Lightweight concrete (LWC) is increasingly used in structural and non-structural applications due to its ability to reduce self-weight while maintaining adequate mechanical performance. However, predicting the mechanical behavior of EPS-based lightwe... read more 
Popular Topics
Recent Journals