Artificial Intelligence Medical Compendium

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

Showing 3,661 to 3,670 of 203,255 articles

A 19-layer convolutional neural network for accurate COVID-19 detection in chest X-ray images: comparative analysis with pretrained networks.

Scientific reports Jun 2, 2026
One of the most conspicuous developments in the unprecedented worldwide epidemic of COVID-19 is the pressing demand for reliable diagnostic tools. Utilizing artificial intelligence (AI) and image processing algorithms, this work proposes a novel 19-l... read more 

The role of interpersonal trust in public acceptance of AI-driven recruitment.

Scientific reports Jun 2, 2026
As artificial intelligence (AI) technology expands into decision-making domains such as recruitment, concerns over fairness, transparency, and public trust have emerged. This study examines public acceptance of AI in high-risk applications, focusing ... read more 

GraphDL: A visibility graph-based structural representation framework for flow-based cyber-attack detection.

Scientific reports Jun 2, 2026
In modern network environments, the increasing diversity and volume of cyber-attacks have highlighted the need for advanced intrusion detection approaches capable of modeling complex traffic behaviors. In particular, capturing temporal and structural... read more 

An automated cloud-based system for in-situ geotechnical site characterization using cone penetration test (CPT/CPTu).

Scientific reports Jun 2, 2026
The Cone Penetration Test (CPT) is one of the most reliable and efficient methods for in situ site characterization, assessing ground improvement, and evaluating the potential for liquefaction. Despite CPT's primary limitation being its inability to ... read more 

Large-scale multimodal pre-trained model driven ceramic design knowledge graph construction and cross-domain innovative design reasoning mechanism.

Scientific reports Jun 2, 2026
This paper presents a novel framework integrating large-scale multimodal pre-trained models with knowledge graph technologies to advance ceramic design innovation. We propose a comprehensive methodology for constructing domain-specific knowledge grap... read more 

Fault tolerance in para-line network topologies: theory and applications in smart systems.

Scientific reports Jun 2, 2026
This study explores the fault-tolerant metric dimension (FTMD) of the para-line network, which is derived from the n-sunlet network, a significant category of networks created by subdividing and transforming cycle-based networks to simulate greater s... read more 

Integrating generalized linear mixed models and XGBoost for safety performance function development on urban arterials.

Scientific reports Jun 2, 2026
Urban arterial corridors present elevated crash risk due to high traffic volumes, complex geometries, and interactions among diverse road users. This study develops Safety Performance Functions (SPFs) for urban arterial segments in Southeast Michigan... read more 

Predicting knowledge of cervical cancer screening among reproductive-age women in sub-saharan africa using machine learning algorithms.

Scientific reports Jun 2, 2026
Sub-Saharan Africa faces twice the incidence and up to fifteen times the fatality rate of cervical cancer compared to developed countries. Screening coverage remains low at 7-25.3%, far below the WHO target of 70%. Increasing women's knowledge about ... read more 

A machine-learning approach to predict additional treatment after Bacillus Calmette-Guérin induction in non-muscle-invasive bladder cancer.

Scientific reports Jun 2, 2026
Non-muscle invasive bladder cancer (NMIBC) comprises ~ 75% of newly diagnosed bladder cancer, with high-risk NMIBC associated with high rates of recurrence and progression. Nearly 40% of patients experience a lack of efficacy with gold standard Bacil... read more 

DeepRank-Ab: a scoring function for antibody-antigen complexes based on geometric deep learning.

Communications biology Jun 2, 2026
Gaining structural insights into antibody-antigen interactions is essential for understanding immune recognition and therapeutics design. Accurately modeling these complexes remains challenging for both physics-based approaches and AI-based, co-foldi... read more 
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