Artificial Intelligence Medical Compendium

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

Showing 311 to 320 of 6,574 articles

Spatial modeling of snow water equivalent in the high atlas mountains via a lumped process-based approach.

Scientific reports Jul 20, 2025
Snow water equivalent (SWE) is a critical variable for understanding water availability and snowmelt-driven streamflow in mountainous regions. Yet, its spatial and temporal estimation is constrained by scarce in situ measurements and the inherent cha... read more 

Advanced QSPR modeling of profens using machine learning and molecular descriptors for NSAID analysis.

Scientific reports Jul 20, 2025
In this paper, we present a predictive model based on artificial neural network (ANN) to evaluate principal physicochemical properties of a set of anti-inflammatory drugs based on chosen topological indices. The molecular descriptors were calculated ... read more 
Neural Networks, Computer Machine Learning Anti-Inflammatory Agents, Non-Steroidal Quantitative Structure-Activity Relationship

Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics.

Scientific reports Jul 20, 2025
Virtual Reality (VR) technology offers a scalable and cost-effective approach to overcome the challenges of traditional medical training, including high expenses, limited resources, and ethical issues. This study presents a VR-based medical training ... read more 
Humans Artificial Intelligence Learning Female Adult Male Clinical Competence Virtual Reality Cost-Benefit Analysis Education, Medical

Deep learning optimization of STAR-RIS for enhanced data rate and energy efficiency in 6G wireless networks.

Scientific reports Jul 20, 2025
Unlike traditional reflection-only reconfigurable intelligent surfaces (RISs), simultaneously transmitting and reflecting RISs (STAR-RISs) introduce an innovative technology. They expand the coverage area from half-space to full-space. This advanceme... read more 

The AlexNet HSD model for industrial heritage damage detection and adaptive reuse under artificial intelligence.

Scientific reports Jul 19, 2025
As the importance of preserving and utilizing industrial heritage continues to grow, improving the efficiency and accuracy of damage detection for industrial heritage has become a key research focus. This work optimizes the structure of the tradition... read more 

An interactive information based DCNN-BiLSTM model with dual attention mechanism for facial expression recognition.

Scientific reports Jul 19, 2025
Human's facial expressions and emotions have direct impact on their action and decision-making abilities. Basic CNN models are complexity of speeding up the operation to minimize the complexity. In this paper, we have proposed a Deep Convolutional Ne... read more 
Humans Neural Networks, Computer Algorithms Attention Automated Facial Recognition Facial Expression Facial Recognition

A deep learning-based prognostic approach for predicting turbofan engine degradation and remaining useful life.

Scientific reports Jul 19, 2025
Predicting the Remaining Useful Life (RUL) of turbofan engines can prevent air disasters caused by component degradation. It is an important procedure in prognostics and health management (PHM). Therefore, a deep learning-based RUL prediction approac... read more 

The analysis of learning investment effect for artificial intelligence English translation model based on deep neural network.

Scientific reports Jul 19, 2025
With the rapid development of multimodal learning technologies, this work proposes a Future-Aware Multimodal Consistency Translation (FACT) model. This model incorporates future information guidance and multimodal consistency modeling to improve tran... read more 

A defense method against multi-label poisoning attacks in federated learning.

Scientific reports Jul 19, 2025
Federated learning is a distributed machine learning framework that allows multiple parties to collaboratively train models without sharing raw data. While it enhances data privacy, it is vulnerable to malicious attacks, especially data poisoning att... read more 

Multi robot exploration using an advanced multi-objective salp swarm algorithm for efficient coverage and performance.

Scientific reports Jul 19, 2025
This work introduces the Advanced Multi-Objective Salp Swarm Algorithm Exploration Technique (AMET), which is a novel optimization framework designed to enhance the efficiency and robustness of multi-robot exploration. AMET combines the deterministic... read more 
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