Artificial Intelligence Medical Compendium

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

Showing 1,571 to 1,580 of 6,954 articles

Prediction of axillary lymph node metastasis in triple negative breast cancer using MRI radiomics and clinical features.

Scientific reports
To develop and validate a machine learning-based prediction model to predict axillary lymph node (ALN) metastasis in triple negative breast cancer (TNBC) patients using magnetic resonance imaging (MRI) and clinical characteristics. This retrospective... read more 

Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion.

Scientific reports
The most common types of kidneys and liver cancer are renal cell carcinoma (RCC) and hepatic cell carcinoma (HCC), respectively. Accurate grading of these carcinomas is essential for determining the most appropriate treatment strategies, including su... read more 

Experimental verification of position sensing for a magnetic coil via Fano resonance.

Scientific reports
Predicting the position of a magnetic noise source in the kilohertz/megahertz range is of interest in academia and importance in industries. We consider a system consisting of one transmitting and four receiving coils around a frequency of 10 MHz. Th... read more 

FPGA implementation of deep learning architecture for ankylosing spondylitis detection from MRI.

Scientific reports
Ankylosing Spondylitis (AS), commonly known as Bechterew's disease, is a complex, potentially disabling disease that develops slowly over time and progresses to radiographic sacroiliitis. The etiology of this disease is poorly understood, making it d... read more 

Deconstructability prediction for building using machine learning and ensemble feature selection techniques.

Scientific reports
Construction industries remain one of the most significant users of materials and generators of waste in the UK and globally. Notwithstanding, the principle of circular economy is becoming prominent as an effective means for powering greater resource... read more 

TinyML-enabled fuzzy logic for enhanced road anomaly detection in remote sensing.

Scientific reports
Advanced techniques for detecting and classifying road anomalies are crucial due to road networks' rapid expansion and increasing complexity. This study introduces a novel integration of Tiny Machine Learning (TinyML), remote sensing, and fuzzy logic... read more 

Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods.

Scientific reports
Given artificial intelligence's transformative effects, studying safety is important to ensure it is implemented in a beneficial way. Convolutional neural networks are used in radiology research for prediction but can be corrupted through adversarial... read more 

Integrative machine learning and molecular simulation approaches identify GSK3β inhibitors for neurodegenerative disease therapy.

Scientific reports
Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), are a growing global health concern, especially among the elderly, posing significant challenges to well-being and survival. GSK3β, a serine/threonine... read more 

Identification of aging-related biomarkers and immune infiltration analysis in renal stones by integrated bioinformatics analysis.

Scientific reports
Renal stones (RS) are common urologic condition with unclear pathogenesis. Role of aging-related differentially expressed genes (ARDEGs) in RS remains poorly understood. This study aims to identify potential aging-related biomarkers for RS, explore t... read more 

Using graph neural network and symbolic regression to model disordered systems.

Scientific reports
The key to modeling disordered systems lies in accurately simulating atomic trajectories, typically achieved through molecular dynamic (MD) simulation. The accuracy of MD simulations depends on the precision of the interatomic potential function, whi... read more