AI Medical Compendium

A hybrid deep fuzzy clustering framework with fusion-based learning for robust SAR change detection.

Scientific reports May 19, 2026

Multi-temporal Synthetic Aperture Radar (SAR) images are essential in detecting changes in the environment, analyzing urban growth, and assessing disasters. Nonetheless, it is difficult to reliably detect meaningful changes because of speckle noise, ... read more

A novel diagnosis method based on multimodal-aware bi-objective competitive mechanism for Alzheimer's disease.

Scientific reports May 19, 2026

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders. Recent statistical surveys and studies indicate that AD is poised to become a major global health burden in the coming decades. Among current strategies, leveraging mu... read more

Optimizing green-adaptive green infrastructure in response to extreme climate changes: insights from a hybrid SEM-ANN method.

Scientific reports May 19, 2026

Despite the potential of Green-Adaptive Green Infrastructure (GAGI) to increase the provision of ecosystem services, and to mitigate urban climate risks while maintaining biodiversity, there is a critical research gap in the empirical identification ... read more

Attention-augmented hybrid framework with evolutionary optimization for robust deepfake detection.

Scientific reports May 19, 2026

The widespread availability of powerful generative models, such as Generative Adversarial Networks (GANs) and Autoencoders, has led to a dramatic surge in deepfake content production. These synthetically generated videos, often indistinguishable from... read more

Robust transcriptomic signatures of Alzheimer's disease progression: validated explainable AI approach.

Scientific reports May 19, 2026

The lack of validated stage-specific biomarkers hampers the understanding of Alzheimer's disease (AD) progression and clinical translation. Current transcriptomic methods often produce unstable results with limited stage discrimination. We aimed to d... read more

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

Scientific reports May 19, 2026

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 May 19, 2026

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

Researchers who use hallucinated references to face arXiv ban.

Nature May 19, 2026

Teams of AI agents boost speed of research.

Nature May 19, 2026

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

Scientific reports May 19, 2026

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

Artificial Intelligence Medical Compendium

A hybrid deep fuzzy clustering framework with fusion-based learning for robust SAR change detection.

A novel diagnosis method based on multimodal-aware bi-objective competitive mechanism for Alzheimer's disease.

Optimizing green-adaptive green infrastructure in response to extreme climate changes: insights from a hybrid SEM-ANN method.

Attention-augmented hybrid framework with evolutionary optimization for robust deepfake detection.

Robust transcriptomic signatures of Alzheimer's disease progression: validated explainable AI approach.

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

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

Researchers who use hallucinated references to face arXiv ban.

Teams of AI agents boost speed of research.

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

Popular Topics

Recent Journals

Artificial Intelligence Medical Compendium

Stay Ahead of Medical AI

Popular Topics

Recent Journals