Artificial Intelligence Medical Compendium

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

Showing 271 to 280 of 199,772 articles

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 

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 

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 

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 

Robust deepfake video detection using spatio-temporal features and dynamic difference learning.

Scientific reports Jun 2, 2026
Recent progress in facial manipulation technologies has made deepfake videos increasingly convincing, posing significant challenges to detection systems that rely solely on analyzing individual frames. Consequently, there has been a growing emphasis ... read more 

Compilation of Creep Property Data for Nuclear Structural Materials.

Scientific data Jun 2, 2026
As advanced nuclear reactor designs move towards higher operating temperatures, rapid nuclear material creep research has become increasingly important. Research of irradiated materials has been limited by space constraints inside research reactors. ... read more 

Hepatic Vessel Map (HVM): An Expert-Annotated CT Dataset for Clinically Applicable AI in Liver Vascular Segmentation and Surgical Planning.

Scientific data Jun 2, 2026
Precise delineation of hepatic and portal venous anatomy is crucial for the diagnosis of liver disease, surgical planning, and prognosis prediction. Current three-dimensional visualization of these complex vascular structures relies on manual or semi... read more 

Machine learning-based identification of high-risk triple-negative breast cancer patients despite pathological complete response after neoadjuvant chemotherapy.

NPJ breast cancer Jun 2, 2026
The binary pathological complete response (pCR) status of triple-negative breast cancer (TNBC) patients after neoadjuvant chemotherapy (NAC) inadequately captures risk heterogeneity for prognosis. Therefore, this study aimed to develop a machine lear... read more 

Deep learning for freezing of gait assessment using inertial measurement units: a multicentre validation study.

NPJ Parkinson's disease Jun 2, 2026
Video annotation is the gold standard for assessing Freezing of Gait (FOG) in Parkinsonian disorders, but it is time-consuming. Deep learning (DL)-based assessment of FOG using inertial measurement units ameliorates this problem but poses challenges.... read more 

Machine learning-assisted self-powered ear tag for animal welfare.

Nature communications Jun 2, 2026
Metabolic health serves as a crucial indicator of animal welfare, yet nutritional imbalances in intensive farming diets often induce metabolic dysregulation. ‌However, precise identification of metabolically abnormal animals within intensive producti... read more 
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