Artificial Intelligence Medical Compendium

Current ensemble regression learning (ERL) faces two primary limitations: first, traditional fusion strategies overlook the intrinsic complexity of the ensemble's group decision-making (GDM) process; second, the pursuit of diversity exacerbates ensem... read more 

Physics-Informed Neural Networks (PINNs) have opened new possibilities for solving partial differential equations (PDEs) by embedding physical laws directly into the learning process. However, despite their flexibility, traditional PINNs often strugg... read more 

Breeding microorganisms with enhanced traits has become a pivotal strategy for enabling efficient and sustainable food biomanufacturing in response to global challenges such as population growth and environmental stress. The next generation of microb... read more 

Reliable real-time vehicle control is essential for intelligent transport systems where accurate perception and decision-making depend on fast sensor data processing. This study developed a hybrid edge-cloud method integrating deep learning with Inte... read more 

Glioblastoma (GBM) continues to be the most lethal form of primary brain tumor. Therapeutic efficacy is significantly hindered by the presence of the blood-brain barrier (BBB) and the complex tumor microenvironment (TME), both of which contribute to ... read more 

OBJECTIVES: This study aimed to integrate soft tissue calcifications and ossifications (STCO) detected on cone beam computed tomography (CBCT) into an artificial intelligence (AI) system and assess its diagnostic accuracy in both single-class and mul... read more 

OBJECTIVES: The purpose of this study was to create an operationally useful machine learning model that predicts the number of high-acuity left without being seen (LWBS) patients from the pediatric emergency department (ED). METHODS: We analyzed data... read more 

PURPOSE OF REVIEW: The purpose of this study is to describe why this review is timely and relevant. Endotyping, the organization of rhinologic inflammation around immunologic precepts, has evolved from a research subject to a clinically relevant tool... read more 

Bangladesh is a socio-culturally diverse country where perspectives on women's freedom vary significantly. Social media sites are now important places for sharing feminist ideas through public comments and posts. This study offers a detailed collecti... read more 

A robust predictive biomarker is critical for identifying patients with NSCLC who may benefit from immunotherapy. This study developed a CT-based habitat model using 590 advanced NSCLC cases. The model was constructed in contrast-enhanced CT images a... read more