Artificial Intelligence Medical Compendium

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

Showing 67,731 to 67,740 of 232,834 articles

Explainable transformer framework for fast cotton leaf diagnostics and fabric defect detection.

iScience
This study introduces a hybrid deep learning model that combines CNN-based hierarchical feature extraction with light-efficient vision transformer self-attention to classify multiple types of cotton leaf diseases and fabric defects. Using Explainable... read more 

ProSocial Artificial Intelligence in Oral and Maxillofacial Imaging, Pathology, and Laboratory Applications.

Dental clinics of North America
Artificial intelligence (AI) revolutionizes dentistry, enhancing diagnostic accuracy, treatment planning, and collaboration. This article examines AI's role in oral and maxillofacial imaging, pathology, and laboratory workflows through the lens of Pr... read more 

Reproducibility of echocardiographic measurements of left ventricular systolic function: a systematic review and meta-analysis comparing artificial intelligence and clinician estimates.

European heart journal. Digital health
Echocardiography underpins the diagnosis and management of cardiovascular disease, yet measurement variability can influence treatment decisions. Artificial intelligence (AI) may standardize interpretation, but its reproducibility and clinical impact... read more 

Integrating Kolmogorov-Arnold networks with ordinary differential equations for efficient, interpretable, and robust deep learning: Epidemiology of infectious diseases as a case study.

Infectious Disease Modelling
This study extends universal differential equation (UDE) frameworks by integrating the Kolmogorov-Arnold Network (KAN) with ordinary differential equations, referred to as KAN-UDE, to achieve efficient and interpretable deep learning. Our case study ... read more 

A multi-modal dataset for hybrid indoor positioning using Wi-Fi RSS, embedded inertial sensors, and CCTV images.

Data in brief
Indoor localization solutions are essential for delivering accurate location-based services in environments where Global Navigation Satellite Systems (GNSS) are ineffective. The Received Signal Strength Indicator (RSSI)-based, inertial sensors' readi... read more 

Machine Learning for diagnosis of malignant thyroid nodules based on thyroid ultrasound: Systematic review and meta-analysis of studies with external datasets.

European journal of radiology open
INTRODUCTION: Optimizing the diagnostic approach to thyroid nodules remains a crucial challenge. Ultrasound-based risk stratification systems such as EU-TIRADS have shown reasonable sensitivity and specificity. Therefore, we conducted a systematic re... read more 

A Simple Laboratory-based Machine Learning Model Accurately Predicts Advanced Liver Fibrosis in Metabolic Dysfunction-associated Steatotic Liver Disease Patients.

Journal of clinical and experimental hepatology
BACKGROUND/AIM: Metabolic dysfunction-associated steatotic liver disease (MASLD) is often silent and progressive, affecting nearly one-fourth of the global population. However, liver biopsy remains the only accurate but invasive modality for diagnosi... read more 

Recent advances in cancer nanomedicine: From smart targeting to personalized therapeutics - pioneering a new era in precision oncology.

Materials today. Bio
Cancer nanomedicine has evolved from the 1995 landmark approval of Doxil® into a programmable platform of precision oncology. The field now progresses along a coherent continuum that begins with passive enhanced permeability and retention (EPR)-media... read more 

Detection of Acromegaly From Facial Images Using Machine Learning: A Comparison With Clinical Experts.

Journal of the Endocrine Society
CONTEXT: Substantial diagnostic delay in acromegaly contributes to increased morbidity and mortality. Screening attempts in high-risk groups have yielded few positive cases, underscoring the need for simple and precise prescreening methods. OBJECTIVE... read more