Artificial Intelligence Medical Compendium

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

Showing 1,691 to 1,700 of 6,954 articles

Decoding dynamic brain networks in Parkinson's disease with temporal attention.

Scientific reports May 29, 2025
Detecting brief, clinically meaningful changes in brain activity is crucial for understanding neurological disorders. Conventional imaging analyses often overlook these subtle events due to computational demands. IMPACT (Integrative Multimodal Pipeli... read more 
Humans Machine Learning Brain Female Aged Male Middle Aged Magnetic Resonance Imaging Parkinson Disease Brain Mapping Nerve Net

Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation.

Scientific reports May 29, 2025
Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent concerning trend. Chronic wounds are difficult and costly to treat, and have become a serious burden on health care systems worldwide. Innovative dee... read more 
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Diabetic Foot Metadata Normal Distribution

Evaluating statistical consistency for the ocean component of earth system models using physics informed convolutional autoencoder.

Scientific reports May 29, 2025
Model verification is a crucial step in the development and optimization of Earth system models (ESMs). Recently, a deep learning approach in evaluating statistical consistency for the atmosphere component of ESMs (A-ESM-DCT) has been proven effectiv... read more 

Hierarchical Information-guided robotic grasp detection.

Scientific reports May 29, 2025
With the advancement of deep learning, robotic grasping has seen widespread application in fields, becoming a critical component in enhancing automation. Accurate and efficient grasping capabilities not only significantly boost productivity but also ... read more 

Temporal user interest modeling for online advertising using Bi-LSTM network improved by an updated version of Parrot Optimizer.

Scientific reports May 29, 2025
In the era of digitization, online digital advertising is one of the best techniques for modern marketing. This makes advertisers rely heavily on accurate user interest and behavior modelling to deliver precise advertisement impressions and increase ... read more 
Humans Algorithms Computer Simulation Internet Marketing Advertising

Blockchain based electronic educational document management with role-based access control using machine learning model.

Scientific reports May 29, 2025
The emergence of digital technology has led to a significant increase in the importance of educational credential storage, exchange, and verification for organisations, enterprises, and universities. Academic record forgery, record misuse, credential... read more 

Demonstration of accurate ID-VG characteristics modeling in SiC mosfets using separated artificial neural networks with small training dataset.

Scientific reports May 29, 2025
This study developed a novel approach based on separated artificial neural networks (ANNs) to efficiently and accurately model the drain current (I)-gate voltage (V) characteristics of silicon carbide (SiC) power MOSFETs efficiently and accurately. W... read more 

Enhancing environmental sustainability and operational efficiency in a case study of limestone quarry in an arid climate.

Scientific reports May 29, 2025
This study explored innovative approaches to enhance environmental sustainability and operational efficiency in quarry operations in Ethiopia, focusing on the limestone quarry of the National Cement Factory. This open-air quarry, dedicated to produce... read more 

Evaluation of machine learning and deep learning algorithms for fire prediction in Southeast Asia.

Scientific reports May 29, 2025
Vegetation fires are most common in Southeast Asian (SEA) countries, causing biodiversity loss, habitat destruction, and air pollution. Accurately predicting fire occurrences in SEA remains challenging due to its complex spatiotemporal dynamics. Impr... read more 

Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs.

Scientific reports May 29, 2025
This paper proposes a novel approach for solving nonlinear partial differential equations (PDEs) with a quantum computer, the trainable embedding quantum physics informed neural network (TE-QPINN). We combine quantum machine learning (QML) with physi... read more 
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