Artificial Intelligence Medical Compendium

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

Showing 5,211 to 5,220 of 204,028 articles

Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy.

Scientific reports May 29, 2026
Identifying the author of given textual excerpts is a challenging and significant task in computational linguistics. In this paper, we propose a novel deep-learning model structured based on a Pyramid Deep Bidirectional Gated Recurrent Unit (biGRU) n... read more 

A temporal adaptive dictionary-constrained LDA and Bi-calibrated dual granularity DTM framework for dynamic topic evolution analysis in academic papers.

Scientific reports May 29, 2026
With the explosive growth of academic achievements in artificial intelligence (AI), accurately capturing the dynamic evolution of research topics is crucial for research topic selection, policy-making, and industrial innovation. To address the limita... read more 

Predictive analysis of tensile strength in FDM Fabricated PLA wood composite materials.

Scientific reports May 29, 2026
A computational modeling strategy was established to predict the tensile strength of polylactic acid (PLA) reinforced with wood particles fabricated using fused deposition modeling (FDM). Three different predictive approaches-Artificial Neural Networ... read more 

Machine learning based approaches for structure activity relationship analysis of heparanase inhibitors.

Scientific reports May 29, 2026
Human Heparanase (HPSE), the only mammalian endo-β-D-glucuronidase, plays an important role in extracellular matrix remodeling and the release of heparin-bound growth factors. Its overexpression is strongly correlated with increased tumor growth, ang... read more 

Blockchain-driven machine learning-enabled intrusion-resilient authenticated key agreement protocol for edge-centric IoT systems.

Scientific reports May 29, 2026
The edge computing-based Internet of Things (IoT) system minimizes latency by processing data locally, reducing the distance it needs to travel. Processing data in proximity to its source enables rapid decision-making and real-time reactions. The edg... read more 

Autism spectrum disorder identification using machine learning models on MRI data.

Scientific reports May 29, 2026
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that affects sensory processing, speech, behavior and identifying the condition at an early stage is necessary to provide the treatment. The existing diagnostic methods are mainly based... read more 

A hybrid AI vision model for single-camera tracking of rehabilitation exercises: a proof of concept in clinical settings.

Scientific reports May 29, 2026
Accurate measurement of range of motion (ROM) during physical rehabilitation is traditionally achieved using goniometers or multi-camera, marker-based motion capture systems. The latter, while highly accurate, require specialised laboratory infrastru... read more 

Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics.

Scientific reports May 29, 2026
The emergence of Generative Artificial Intelligence (Gen-AI) and Generative Adversarial Network (GAN)-based deepfakes poses significant security risks in sociocultural and sociopolitical domains. This necessitates the development of advanced and effe... read more 

Detecting dataset bias in medical AI using a generalized and modality agnostic auditing approach.

NPJ digital medicine May 29, 2026
Despite many success stories along the path of Artificial Intelligence's (AI) rise in healthcare, there are comparably many reports of significant shortcomings and unexpected behavior of AI in deployment. A major risk is AI's reliance on association-... read more 

O²RDL-net for joint risk classification and delay forecasting in logistics systems using interaction amplified deep.

Scientific reports May 29, 2026
Transportation and logistics systems face frequent delays and operational risks due to congestion, human factors, and rapidly changing conditions. Predicting delays and identifying risk levels in advance is therefore essential for reliable logistics ... read more 
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