Artificial Intelligence Medical Compendium

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

Showing 57,231 to 57,240 of 227,153 articles

Tomek links-based SMOTE method for class imbalance in blood cell classification with dual path sliding window attention model.

Talanta
Medical image processing has transformed the Complete Blood Count (CBC) analysis to enhance diagnostic accuracy and to detect diseases such as neurodegenerative diseases, infections, and anemia through non-invasive blood cell analysis. Nonetheless, t... read more 

Nurses' attitudes toward artificial intelligence applications and their clinical decision-making competence: A cross-sectional study.

Nurse education today
BACKGROUND: The increasing integration of artificial intelligence (AI) into healthcare has generated interest in its potential role within nursing practice, particularly in relation to clinical decision-making and care delivery processes. OBJECTIVES:... read more 

Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER) in the UK: a cluster-randomised controlled implementation trial.

Lancet (London, England)
BACKGROUND: Early detection of cardiovascular disease is a global public health priority. Artificial intelligence (AI)-enabled stethoscopes offer robust performance characteristics in point-of-care detection of heart failure, atrial fibrillation, and... read more 

Machine learning to predict elevated lipoprotein(a).

Current opinion in lipidology
PURPOSE OF REVIEW: Lipoprotein(a), Lp(a), is a genetically determined, lifelong risk factor for atherosclerotic cardiovascular disease (ASCVD). Despite broad guideline support for universal one-time testing, Lp(a) measurement remains rare in clinical... read more 

EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learning.

Artificial intelligence in medicine
Epilepsy is a chronic brain disorder characterized by recurrent seizures resulting from abnormal brain cell activity. The unpredictability of these seizures underscores the criticality of anticipating and promptly addressing them to enhance the patie... read more 

Automated 3D body composition analysis on chest CT scans for survival prediction in high-grade extremity soft tissue sarcomas.

European journal of radiology
INTRODUCTION: High-grade soft tissue sarcomas (STShg) of the extremities are rare cancers with a poor prognosis. Accurate staging at initial evaluation is crucial for determining optimal treatment. Current guidelines recommend systematic chest comput... read more 

A navigation-guided 3D breast ultrasound scanning and reconstruction system for automated multi-lesion spatial localization and diagnosis.

Medical image analysis
Handheld ultrasound (HHUS) is indispensable for breast cancer screening but remains compromised by operator-dependent acquisition, subjective 2D interpretation and clock-face annotation. Existing spatial tracking systems for HHUS typically lack integ... read more 

Multimodal sparse fusion transformer network with spatio-temporal decoupling for breast tumor classification.

Medical image analysis
Accurate analysis of tumor morphology, vascularity, and tissue stiffness under multimodal ultrasound imaging plays a critical role in the diagnosis of breast cancer. However, manual interpretation across multiple modalities is time-consuming and heav... read more 

Active detection of melanoma via a dual-extraction-driven flexible microneedles sensor.

Biosensors & bioelectronics
Wearable microneedles (MNs) biosensors offer significant potential for minimally invasive biomarker detection in interstitial fluid (ISF). However, suboptimal fluid collection efficiency, dermal irritation due to rigid structural components, and inad... read more