Artificial Intelligence Medical Compendium

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

Showing 16,621 to 16,630 of 213,633 articles

Fisher duty interval and particle swarm optimization for neural architecture search.

Scientific reports
Automatically constructing Deep Neural Networks (DNNs) has become a key focus in artificial intelligence research, as their performance is highly dependent on the architecture and parameters of the network. Careful selection of the architecture and p... read more 

Interpretable fine-tuned large language models facilitate making genetic test decisions for rare diseases.

NPJ digital medicine
Clinical decision making often relies on expert judgment guided by established guidelines, which can be challenging to standardize and abstract to implement. For example, selecting between gene panels and whole exome/genome sequencing (WES/WGS) for r... read more 

Deep learning-based tooth axis estimation from 3D tooth crowns using quaternion representation and multi-loss optimization.

Scientific reports
Tooth axis estimation plays a key role in various digital dental workflows, including orthodontic diagnosis and prosthetic design. In clinical practice, tooth axes are typically determined by jointly considering crown morphology and radiographic info... read more 

Deepfake face detection using hybrid bag-of-visual-words and multi-CNN feature fusion.

Scientific reports
Recent advances in generative modeling have enabled the creation of highly realistic deepfake facial images, posing significant risks to digital security, media integrity, and public trust. Although deep learning-based detection methods have achieved... read more 

AI-driven quality classification of concrete after high-temperature exposure: a hybrid framework for structural integrity assessment.

Scientific reports
Accurately assessing the residual performance of fire-damaged concrete is crucial for structural safety but challenging due to non-linear degradation. Traditional methods often suffer from data scarcity and lack objective quality criteria, creating a... read more 

Enhanced hydrogen adsorption on boron nickel gold modified Si60 nanocluster via DFT and machine learning analysis.

Scientific reports
In this study, we investigated the catalytic potential of silicon-based nanoclusters, specifically Si60, for hydrogen evolution reactions (HER), focusing on enhancements via substitutional doping with nickel (Ni) and boron (B), where boron and nickel... read more 

An explainable multimodal temporal deep learning framework for intrusion detection (EMT-IDNet) in IoT environments.

Scientific reports
The high rate of Internet of Things (IoT) ecosystem development presents a significant security problem because of the heterogeneity of devices, dynamic network behaviour, and the lack of built-in security features. Traditional intrusion detection sy... read more 

Proto-memformer: deformable memory transformer for Parkinson's MRI classification.

Scientific reports
This paper proposes a Prototype-Guided Deformable Memory Transformer (Proto-MemFormer) model for Parkinson's Disease (PD) MRI classification. In the encoding stage, the model integrates a prototype-guided memory mechanism with a deformable attention ... read more