Artificial Intelligence Medical Compendium

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

Showing 50,081 to 50,090 of 224,814 articles

CT-based subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma: an exploratory study of biological mechanisms.

Insights into imaging
OBJECTIVES: To evaluate intratumoral subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma (ccRCC), and investigate the biological mechanisms of radiomics. MATERIALS AND METHODS: This retrospecti... read more 

Data-driven prediction of CIMS signal intensity for pesticide detection via dibromomethane reagent using machine learning techniques.

European journal of mass spectrometry (Chichester, England)
This research introduces a model utilizing machine learning for forecasting Chemical Ionization Mass Spectrometry (CIMS) signal intensity in pesticide detection, using dibromomethane (DBrMe) as a reagent. Accurate detection of pesticides is crucial f... read more 

The BIOPREVENT machine-learning algorithm predicts chronic graft-versus-host disease and mortality risk using posttransplant biomarkers.

The Journal of clinical investigation
BACKGROUNDChronic graft-versus-host disease (cGVHD) is a major contributor to nonrelapse mortality (NRM) following hematopoietic cell transplantation (HCT). Whether machine-learning (ML) models with biomarkers improve the accuracy for predicting futu... read more 

Exploring the feasibility of near-infrared spectroscopy and machine learning for detecting cardiovascular diseases and diabetes mellitus in fingernails.

The Analyst
Cardiovascular diseases (CVDs) and diabetes mellitus (DM) are significant conditions that impact lives around the globe. Frequently employed methods for detecting CVDs and/or DM such as blood work and cardiac catheterisation are often invasive, intru... read more 

Deep-Q-Network in Multiview Ensemble Learning to Predict Anti-diabetic Peptide and Diabetic Types.

IEEE transactions on computational biology and bioinformatics
Diabetes mellitus disease has become a significant human health concern globally, causing cardiovascular complications, kidney disease, cerebrovascular accidents, etc. In humans, bioactive molecules, specifically Antidiabetic peptides (ADPs), target ... read more 

SCImputation: Mitigating Feature Confounding From a Structural Causal Perspective for Data Imputation.

IEEE transactions on computational biology and bioinformatics
Missing data remain a critical challenge in data analysis, often leading to biased estimates and reduced reliability. Many imputation methods, operating under the assumption that similar instances share similar feature values, overlook the pivotal ro... read more 

Reinforcement Learning-Based Predefined-Performance Control for Nonlinear Switched Interconnected Systems.

IEEE transactions on cybernetics
This study develops a reinforcement learning (RL)-based control framework with guaranteed predefined performance for nonlinear switched interconnected systems. This approach effectively addresses challenges arising from unmeasurable states and group ... read more 

Output Synchronization via Intermittent Dynamic Event-Triggered Sampled-Data Security Control for Delayed Reaction-Diffusion Neural Networks.

IEEE transactions on cybernetics
This article addresses the issue of output synchronization via intermittent dynamic event-triggered sampled-data (IDETSD) security control of reaction-diffusion neural networks (RDNNs) under spatially local averaged measurements (SLAMs) subject to bo... read more 

A Survey on Generative AI for 3D CAD in Engineering.

IEEE computer graphics and applications
AI support in CAD is an active research field, generating an increasing number of publications. Recent surveys give a broad overview of this field, each structuring works differently, e.g., by application area. Given this magazine's and special issue... read more