Artificial Intelligence Medical Compendium

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

Showing 67,151 to 67,160 of 232,511 articles

Predictive modeling and fragment-based design of triterpenoid-nucleoside conjugates targeting coronavirus membrane fusion.

European journal of medicinal chemistry
Triterpenoids are known for their broad biological activities, yet their potential against SARS-CoV-2 has not been fully elucidated. In this study, using an antiviral dataset generated from our experimental evaluation of triterpenoid-nucleoside deriv... read more 

Mitochondrial energy metabolism-associated Predictive model constriction for coronary artery disease(CAD) of acute myocardial infarction(AMI) patients via integrative bioinformatic analysis.

Computational biology and chemistry
Coronary artery disease (CAD) is a leading cause of acute myocardial infarction (AMI), a condition characterized by the sudden blockage of blood flow to the heart muscle, resulting in significant morbidity and mortality worldwide. Despite advances in... read more 

Automated lung sound detection via Bi-GRU-modified SqueezeNet architecture with new stock well feature set.

Computational biology and chemistry
Lung sound analysis is critical for diagnosing respiratory diseases such as asthma, bronchiectasis, bronchiolitis, COPD, LRTI, pneumonia, and URTI. Traditional diagnostic methods rely heavily on physicians' expertise, making them time-consuming and s... read more 

Repeatability of Knee Kinematic Gait Outcomes Using a Novel Hospital Hallway Setup of a Markerless Motion Capture System.

Journal of applied biomechanics
Instrumented gait analysis has traditionally been isolated to laboratory, marker-based optoelectronic motion capture systems, which limits clinical uptake. Markerless motion capture (MMC) systems driven by trained machine learning algorithms offer hi... read more 

The basis for future personalized therapy approaches - Machine learning-generated 1-year survival rate, metastatic status and therapy-dependent survival in pancreatic cancer patients.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: Pancreatic adenocarcinoma (PDAC) remains one of the most lethal types of cancer, characterized by its unspecific symptoms, aggressive nature and late-stage diagnosis. PATIENTS AND METHODS: In this study, Machine Learning (ML) models were ... read more 

PyPIMalDet: A malicious PyPI package detection method combining code features and metadata features.

Neural networks : the official journal of the International Neural Network Society
In recent years, there has been a surge in malicious software packages on the open-source PyPI software package registry. Given the vast number of software packages and frequent updates on PyPI, existing detection methods based on dynamic analysis or... read more 

Differentiable neural network-based models enable gradient-based optimization for model predictive control of urban drainage networks.

Water research
Model predictive control (MPC) improves the use of the hydraulic capacity of an urban drainage network with online optimization, thus reducing overflow and flooding. However, its applicability is hindered by the heavy computational burden of repetiti... read more 

Global trends and collaboration networks in radiology: A bibliometric analysis of the 500 most-cited articles in web of science.

Clinical imaging
OBJECTIVE: This study examined global research trends in Radiology, Nuclear Medicine, and Medical Imaging by analyzing the 500 most-cited articles in the Web of Science (WoS) Core Collection. METHODS: A bibliometric search was conducted on June 15, 2... read more 

TEWS: Transformer-empowered weakly supervised prediction of immune score and genetic mutations in liver cancer from whole slide image.

Computational biology and chemistry
Whole Slide Imaging (WSI) plays a crucial role in predicting immune scores by providing detailed cellular and tissue-level insights, thereby enhancing pathological diagnosis accuracy and biomarker detection. Additionally, WSI contributes essential in... read more 

What makes a scent trigger a memory? A cognitive decomposition of odor-evoked retrieval.

iScience
A single scent can unlock vivid memories. This study investigates the factors that make some odors more evocative than others. We examined odor-evoked episodic memory in 106 participants who experienced odors embedded in distinct visuospatial context... read more