Latest AI and machine learning research in refractive surgery for healthcare professionals.
BACKGROUND: Facial attractiveness influences social and professional perceptions, including competence and employability. With the increasing use of artificial intelligence (AI) to generate photorealistic faces, it is important to understand how these images compare to real orthodontic treatment outcomes. OBJECTIVE: To compare perceptions of real versus AI-generated orthodontic treatment results i...
The process of migration of IoMT systems in healthcare into post-quantum cryptographic systems is expected to be a gradual one. Here, existing ECC-based devices alongside newly developed quantum-resistant devices will be operating within the same healthcare ecosystem. However, there exists an important interoperability challenge posed by the need for collaboration within the domain of edge intelli...
UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due ...
Molecular simulations are invaluable for analysing molecular systems, but existing post-processing tools are often limited by a lack of customization,...
As the domain of network security keeps on evolving rapidly, especially in sensitive areas such as healthcare systems, the demand for reliable device ...
BACKGROUND: Erectile dysfunction (ED) is strongly influenced by persistent misconceptions that delay help-seeking and limit engagement with effective ...
BACKGROUND: Patients and their families without medical knowledge may find professional health care information difficult to understand. The use of la...
AIMS: To investigate the changes in choroidal optical coherence tomography (OCT) radiomic features, their correlations with visual acuity and utility ...
Fluoride contamination in coastal aquifers is difficult to evaluate because its mobilisation is controlled by overlapping and seasonally dynamic non-s...
Artificial intelligence (AI)-based risk prediction is increasingly implemented in clinical care, but randomized evidence on communication and shared d...
BACKGROUND: Ex-premature infants have a high risk of postoperative apnea and bradycardia. This study aimed to develop a predictive model for postopera...
Corneal blindness affects millions worldwide, yet donor tissue remains insufficient to meet clinical demand. In this context, 3D bioprinting has emerg...
PURPOSE: To develop and validate machine learning (ML) models for predicting early postoperative corneal edema (CE) after phacoemulsification in patie...
SCOPE: Rapid urbanization and industrialization have exacerbated freshwater scarcity while simultaneously increasing wastewater generation, making the...
BACKGROUND: While research on robotic rehabilitation has largely focused on evaluating device effectiveness, there remains a clear need to investigate...
Effective anatomy education is essential for medical training. While traditional anatomy instruction provides essential foundational knowledge, its ef...
BACKGROUND AND OBJECTIVE: Cardiovascular diseases are the leading cause of mortality globally, requiring early and accurate detection through tools li...
BACKGROUND: Lean metabolic dysfunction-associated fatty liver disease (MAFLD) is increasingly recognized but often goes unnoticed during health checku...
CONTEXT.—: Artificial intelligence (AI) has demonstrated high accuracy in detecting lymph node (LN) metastases in treatment-naïve invasive breast canc...
BACKGROUND: Prolonged stay in pediatric intensive care units (PICUs) is associated with increased mortality risk, elevated healthcare costs, and dimin...