Artificial Intelligence Medical Compendium

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

Showing 24,281 to 24,290 of 217,425 articles

Machine learning based retrospective cohort study to predict mortality risk in Chinese patients undergoing extracorporeal membrane oxygenation.

Scientific reports Apr 30, 2026
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HyperHealth: a pilot study on AI-driven COVID-19 detection using hyperspectral fingertip images.

Scientific reports Apr 30, 2026
Despite the reduced impact of COVID-19 due to widespread vaccination and improved treatments, a critical need remains for accessible, scalable, and rapid screening tools to address current and future infectious disease threats. Hyperspectral Imaging ... read more 

Assessing osteosarcopenia using automated multi-structure-segmentation and Hounsfield unit-based analysis of lumbar muscles and vertebral bodies on computed tomography.

Scientific reports Apr 30, 2026
Sarcopenia and osteoporosis are prevalent age-related conditions that substantially increase the risk of falls, fractures, and functional decline. This study aimed to develop and clinically validate a fully automated computed tomography (CT)-based fr... read more 

Energy efficient cyber-physical control of renewable microgrids using edge-AI enabled IoT and secure blockchain coordination.

Scientific reports Apr 30, 2026
As microgrid complexity increases, cyber-physical coordination must be secure and efficient. This research designs an edge-AI blockchain framework for the cyber-physical management of renewable-integrated microgrids. The edge devices call SNNs for lo... read more 

Oil spill segmentation of noisy SAR images using domain adaptation based UNet.

Scientific reports Apr 30, 2026
Oil spills dampen the water bodies, causing serious threats to the marine environment. In this paper, oil spill detection and segmentation in satellite imagery in the presence of speckle noise is proposed. Most of the algorithms have not given concer... read more 

ASP-assisted symbolic regression for interpretable modelling of 3D laminar channel flow.

Scientific reports Apr 30, 2026
Symbolic Regression (SR) offers an interpretable alternative to conventional Machine-Learning (ML) approaches, which are often criticized as "black boxes". In contrast to standard regression models that require a prescribed functional form, SR constr... read more 

A dynamic light image enhancement algorithm using generative adversarial network for group activity recognition.

Scientific reports Apr 30, 2026
Video-based or image-based human activity recognition (HAR) via machine learning algorithms helps track, detect, and categorize users' daily activities. It is usually formulated as specific research problems, such as fall detection, gait recognition,... read more 

Performance evaluation of machine learning algorithms for predicting liquefaction-induced lateral displacement.

Scientific reports Apr 30, 2026
Accurate prediction of liquefaction-induced lateral displacement is essential for seismic risk assessment, resilient infrastructure design, and cost-effective mitigation. Such predictions are complex and cannot be reliably addressed using conventiona... read more 

A multi-level dynamic sample augmentation and heterogeneous feature fusion framework for intelligent intrusion detection.

Scientific reports Apr 30, 2026
This paper proposes a hybrid intrusion detection framework that integrates dynamic sample augmentation and heterogeneous feature fusion to address class imbalance and temporal complexity in network traffic. At the data level, an ADASYN-FLS-SMOTEBoost... read more 

Predicting worsening visual field via masked dual stage attention recurrent neural network.

Scientific reports Apr 30, 2026
Based on dual-stage attention recurrent neural network (DA-RNN), a masked DA-RNN (MDA-RNN) model was developed to predict future visual fields (VF). The training dataset comprised 154,105 VF examinations of 22,404 eyes. Performance was measured as th... read more 
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