Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Failure event narratives contain detailed and valuable information describing how failures initiate and propagate. Event causality analysis can help improve the understanding of failure physics and facilitate the use of non-failure data (e.g., near-misses and degradations) to complement the limited data pool of failures, which is common in high-reliability industries such as the nuclear power indu...
Artificial intelligence (AI) is a rapidly growing sector of technology in a variety of industries, especially healthcare. This literature review will explore the potential of AI systems to revolutionize the field of dentistry as well as their current limitations. Applications in development optimize the efficiency and accuracy of diagnosis and treatment planning in all areas of dentistry, showing ...
Infected pancreatic necrosis (IPN) is a life-threatening complication of acute pancreatitis (AP), and its early prediction remains challenging. This s...
BACKGROUND: Survival analysis is commonly used to identify factors affecting dental implant longevity. While conventional studies typically employ the...
The rapid evolution of modern technology is propelling artificial intelligence into a transformative phase, where visual information processing has be...
Machine learning (ML) is increasingly applied in quantum dot (QD) research to support data analysis, device control, materials optimization, sensing, ...
BACKGROUND: Nonsteroidal anti-inflammatory drug (NSAID) hypersensitivity is a common cause of drug-related reactions in children. Pre-test risk strati...
INTRODUCTION: Visual aids that simulate personalized postoperative outcomes following breast reconstruction may facilitate shared decision-making and ...
Ischemic heart disease remains a leading cause of mortality worldwide. Myocardial perfusion imaging (MPI) using Rubidium-82 (82Rb) positron emission t...
BACKGROUND: The integration of retrieval-augmented generation (RAG) systems into the domain of medical question-answering (QA) presents a significant ...
Stress and anxiety impair executive function and degrade performance, yet rapid and scalable interventions remain limited. This controlled study teste...
Natural hydrogen (H2) emerges as a clean energy resource generated by different geological processes in multiple geological contexts. Current hydrogen...
Recent advances in cough sound analysis using deep learning techniques enable smartphone-based respiratory disease screening suitable for self-managem...
Inspired by the dynamic visual perception of flying insects, rapid collision warning systems are crucial for advancing autonomous driving and machine ...
Social media discourse has the capacity to influence public perceptions of health-related issues. Understanding how vaccine side effects are discussed...
OBJECTIVE: Despite the widespread clinical use of digital scanning, its accuracy for complete-arch implant impressions remains controversial. This stu...
The rapid evolution of computational biology has transformed vaccine design from a largely empirical process into a rational, data-driven discipline. ...
OBJECTIVE: Deep learning models have shown strong performance in predicting clinical events in critical care using structured electronic health record...
Frailty in older adults leads to heightened vulnerability to adverse health outcomes, significantly burdening individuals and society by increasing he...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have shown immense potential in cardiology, leveraging data-driven insights to enha...