Artificial Intelligence Medical Compendium

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

Showing 60,161 to 60,170 of 228,072 articles

Case-based reasoning for clinical trial recruitment tools in oncology: When you need patients to find patients.

International journal of medical informatics
BACKGROUND: Patient recruitment for clinical trials remains a major challenge, with 86% of trials failing to meet enrollment targets on time. In over 77% of cases, recruitment difficulties stem from matching problems between trials and patients. Case... read more 

Towards sustainable management of Xylella fastidiosa vectors: An annotated image dataset for automated in-field detection of Aphrophoridae foam.

Data in brief
Insects feeding on xylem sap, such as adult Aphrophoridae spittlebugs, are vectors of the plant pathogenic xylem-limited bacterium Xylella fastidiosa (Xf), a causal agent of a number of severe diseases, including the Olive Quick Decline Syndrome (OQD... read more 

SERPINA1 as a Shared Biomarker in Periodontitis and Oral Squamous Cell Carcinoma.

International dental journal
OBJECTIVE: Periodontitis (PD) and oral squamous cell carcinoma (OSCC) frequently co‑occur in clinical populations. However, shared molecular determinants that could support risk assessment across diseases remain insufficiently defined. This study aim... read more 

Integrated multi-omics analysis of prognostic model and immune microenvironment in intrahepatic cholangiocarcinoma.

Translational oncology
BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is an aggressive malignancy originating from the epithelial lining of second-order bile ducts. Despite advances in immunotherapy, which underscore the pivotal roles of T-cell dynamics and tumor micro... read more 

Fuzzy classification of sepsis subtypes and implications for trajectory and treatment.

EBioMedicine
BACKGROUND: Sepsis is common and deadly, and subtypes are proposed to guide precision treatment. However, little is known about the uncertainty in subtype classification, and its implications for trajectory and treatment response. METHODS: In multipl... read more 

AI-driven emotional intelligence in piano education: Deep learning models for expressive performance coaching.

Acta psychologica
With the increasing use of artificial intelligence (AI) in higher music education, there is a growing need to evaluate whether intelligent feedback systems can meaningfully enhance expressive piano performance. This study investigates the research qu... read more 

Predictors of Paravalvular Leakage After Transcatheter Aortic Valve Replacement in Patients With BAV: A Machine Learning Model.

JACC. Advances
BACKGROUND: The specific anatomy of bicuspid aortic valve (BAV) increases the incidence of ≥ mild paravalvular leakage (PVL) after transcatheter aortic valve replacement (TAVR). OBJECTIVES: The purpose of this study was to develop and validate a mode... read more 

Deep Learning-Derived Right Ventricular Ejection Fraction Predicts Mortality in Patients Undergoing Transcatheter Tricuspid Valve Intervention.

JACC. Advances
BACKGROUND: Transcatheter tricuspid valve intervention (TTVI) has emerged as a valuable therapeutic option for patients with severe tricuspid regurgitation. However, the impact of TTVI on right ventricular (RV) function remains incompletely understoo... read more 

Transformer-based feature extraction approach for hematopoietic cancer subtype classification.

Computers in biology and medicine
Accurate classification of hematopoietic cancer subtypes remains challenging due to the multipotent nature of hematopoietic cells and the absence of definitive genetic markers. To address this, we propose a Transformer-based Autoencoder that captures... read more