Artificial Intelligence Medical Compendium

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

Showing 1,241 to 1,250 of 163,745 articles

Seasonal quantile forecasting of solar photovoltaic power using Q-CNN-GRU.

Scientific reports Jul 26, 2025
Accurately predicting solar power is essential for ensuring electric grid reliability and integrating renewable energy sources. This paper presents a novel approach to probabilistic solar power forecasting by combining Convolutional Neural Networks (... read more 

Can AI find the cavities in caries prediction and diagnosis?

Evidence-based dentistry Jul 26, 2025
A COMMENTARY ON: Rokhshad R, Banakar M, Shobeiri, P, Zhang P. Artificial intelligence in early childhood caries detection and prediction: a systematic review and meta-analysis. Pediatr Dent. 2024;46:385-394. read more 

A comprehensive review of neural network-based approaches for drug-target interaction prediction.

Molecular diversity Jul 26, 2025
Predicting Drug-Target Interactions (DTI) is vital for accelerating drug discovery and repurposing. This review assesses the efficacy of neural network-based methods, including Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and T... read more 

Smartphone-derived optical proxies for estimating toxicity risk of Microcystis aeruginosa complex in inland waters.

Environmental monitoring and assessment Jul 26, 2025
Toxic blooms dominated by cyanobacterial colonies of Microcystis aeruginosa complex (MAC) accumulate in the water surface, so they can be tracked by remote sensing. The abundance of toxic MAC cells is related to colony size, a parameter affecting wat... read more 

Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica.

Scientific reports Jul 26, 2025
Uncrewed aerial vehicles (UAVs) have become essential for remote sensing in extreme environments like Antarctica, but detecting moss and lichen using conventional red, green, blue (RGB) and multispectral sensors remains challenging. This study invest... read more 

Quantification of hepatic steatosis on post-contrast computed tomography scans using artificial intelligence tools.

Abdominal radiology (New York) Jul 26, 2025
PURPOSE: Early detection of steatotic liver disease (SLD) is critically important. In clinical practice, hepatic steatosis is frequently diagnosed using computed tomography (CT) performed for unrelated clinical indications. An equation for estimating... read more 

Proactive recognition and early detection in communities through targeted HIV screening.

Scientific reports Jul 26, 2025
Human Immunodeficiency Virus (HIV) remains a critical public health concern, and is a significant global health challenge, particularly in developing countries. Early HIV detection supports targeted interventions, and substantially reduce the HIV bur... read more 

Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model

arXiv Jul 26, 2025
Recently, competition in the field of artificial intelligence (AI) has intensified among major technological companies, resulting in the continuous release of new large-language models (LLMs) that exhibit improved language understanding and context... read more 
Information Retrieval Artificial Intelligence Computation and Language H.3.3; I.2.6; I.2.7

Taking Language Embedded 3D Gaussian Splatting into the Wild

arXiv Jul 26, 2025
Recent advances in leveraging large-scale Internet photo collections for 3D reconstruction have enabled immersive virtual exploration of landmarks and historic sites worldwide. However, little attention has been given to the immersive understanding... read more 
Graphics Computer Vision and Pattern Recognition

The role of face regions in remote photoplethysmography for contactless heart rate monitoring.

NPJ digital medicine Jul 26, 2025
Heart rate (HR) estimation is crucial for early cardiovascular diagnosis, continuous monitoring, and various health applications. While electrocardiography (ECG) remains the gold standard, its discomfort and impracticality for continuous use have spu... read more 
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