Artificial Intelligence Medical Compendium

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

Showing 1,211 to 1,220 of 163,745 articles

Insurance claims estimation and fraud detection with optimized deep learning techniques.

Scientific reports Jul 26, 2025
Estimation and fraud detection in the case of insurance claims play a cardinal role in the insurance sector. With accurate estimation of insurance claims, insurers can have good risk perceptions and disburse compensation within proper time, while fra... read more 

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 

Conserved heavy/light contacts and germline preferences revealed by a large-scale analysis of natively paired human antibody sequences and structural data.

Communications biology Jul 26, 2025
Understanding the pairing preferences and structural interactions between antibody heavy and light chains can enhance our ability to design more effective and specific therapeutic antibodies. Insights from natural antibody repertoires and conserved c... read more 

Hybrid modeling for optimizing electrospun polyurethane nanofibrous membranes in air filtration applications.

Scientific reports Jul 26, 2025
Nanofibers have gained recognition as promising materials for air filtration due to their high surface area-to-volume ratio, adjustable porosity, and exceptional mechanical properties. However, optimizing their structural characteristics to maximize ... read more 

Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks.

Scientific reports Jul 26, 2025
Energy hubs (EHs) are considered a promising solution for multi-energy resources, providing advanced system efficiency and resilience. However, their operation is often challenged by the need for techno-economic trade-offs and the uncertainties relat... read more 

Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertise.

Communications engineering Jul 26, 2025
Healthcare wearables are transforming health monitoring, generating vast and complex data in everyday free-living environments. While supervised deep learning has enabled tremendous advances in interpreting such data, it remains heavily dependent on ... read more 

Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin.

Scientific reports Jul 26, 2025
Accurate river discharge forecasting is essential for effective water resource management, particularly in regions prone to monsoonal variability and extreme weather events. This study presents an interpretable deep learning framework for daily river... read more 

A novel hybrid deep learning approach combining deep feature attention and statistical validation for enhanced thyroid ultrasound segmentation.

Scientific reports Jul 26, 2025
An effective diagnosis system and suitable treatment planning require the precise segmentation of thyroid nodules in ultrasound imaging. The advancement of imaging technologies has not resolved traditional imaging challenges, which include noise issu... read more 

Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks.

Scientific reports Jul 26, 2025
Advances in robotic surgery are being driven by the convergence of technologies such as artificial intelligence (AI), 5G/6G wireless communication, the Internet of Things (IoT), and edge computing, enhancing clinical precision, speed, and real-time d... read more 

Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification.

Scientific reports Jul 26, 2025
Efficient extraction of spectral-spatial features is essential for accurate hyperspectral image (HSI) classification, where capturing both local texture and global semantic relationships is critical. While Convolutional Neural Networks (CNNs) and Tra... read more 
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