Artificial Intelligence Medical Compendium

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

Showing 51,141 to 51,150 of 225,062 articles

Recurrent neural network long short term memory model to detect the pile toe using raw data of pile integrity test.

Scientific reports Feb 12, 2026
This article proposes a novel approach to automatically generate velocity reflectogram of Pile Integrity Testing using a Recurrent Neural Network with Long Short-Term Memory (RNN-LSTM) model. Conventional Low-Strain Integrity Testing (LSIT) accuracy ... read more 

A Multimodal Dataset for Neurophysiological and AI Applications.

Scientific data Feb 12, 2026
Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity. Current diagnostic methods rely primarily on subjective clinical evaluations, which are prone to ... read more 

Integrating machine learning and explainable AI for employee attrition prediction in HR analytics.

Scientific reports Feb 12, 2026
Employee attrition poses significant challenges to organizations, impacting productivity, morale, and financial stability. Predicting attrition and understanding its underlying drivers are critical for implementing effective retention strategies. In ... read more 

Performance emission and combustion characteristics of TIO₂ and CEO₂ nanoparticle enhanced Mahua biodiesel diesel blends using experimental and machine learning approaches.

Scientific reports Feb 12, 2026
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Accumulated local effects and graph neural networks for link prediction.

Scientific reports Feb 12, 2026
We investigate how Accumulated Local Effects (ALE), a model-agnostic explanation method, can be adapted to visualize the influence of node feature values in link prediction tasks using Graph Neural Networks (GNNs), specifically Graph Convolutional Ne... read more 

Prediction model for ctDNA detectability in liquid comprehensive genomic profiling of advanced pancreatic cancer based on Japanese real-world data.

ESMO open Feb 12, 2026
BACKGROUND: Circulating tumor DNA (ctDNA) is sometimes undetectable in liquid comprehensive genomic profiling (CGP) of advanced-stage pancreatic cancer, resulting in false-negative findings that may mislead treatment decisions and waste health care r... read more 

An optimized knowledge-based planning method for craniospinal irradiation integrated with auto-contouring.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 12, 2026
BACKGROUND: Craniospinal irradiation (CSI) is a complex treatment requiring precise delineation of extended plan target volumes (PTV) and multiple organs at risk (OARs). The process traditionally demands substantial time and expertise from physicians... read more 

Artificial Intelligence in Tuberculosis Imaging: A Global Bibliometric Analysis of Research Trends and Collaborations.

Radiography (London, England : 1995) Feb 12, 2026
INTRODUCTION: Tuberculosis (TB), a leading infectious cause of death, remains a global health challenge. Imaging is central to diagnosis and screening, while artificial intelligence (AI) is increasingly applied to chest X-rays (CXR) and computed tomo... read more 

Automatic field-of-view planning for magnetic resonance shoulder imaging using Deep Learning.

Journal of medical imaging and radiation sciences Feb 12, 2026
INTRODUCTION: Accurate prescription of oblique coronal and oblique sagittal field of views (FOV) is essential for diagnostic shoulder MRI. Manual planning is radiographer-dependent, time-consuming, and subject to inter- and intra-operator variability... read more 

Deep Learning and Machine Learning for Differentiation Between Contrast Extravasation and Hemorrhagic Transformation in Post-Thrombectomy Stroke CT.

Journal of neuroradiology = Journal de neuroradiologie Feb 12, 2026
BACKGROUND: Mechanical thrombectomy (MT) improves outcomes in acute ischemic stroke (AIS) but often results in hyperdensities on non-contrast CT (NCCT), which may represent either hemorrhagic transformation (HT) or contrast extravasation (CE). Distin... read more 
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