Convenient and secure user identification is increasingly important in everyday environments, particularly with the proliferation of contactless interactions and Internet-of-Things (IoT) devices. However, conventional authentication methods often req... read more
Disciplines conducting health research rely on discipline-specific workflows that are distinct from data science, the discipline which develops most artificial intelligence (AI)-enabled research tools. Here we reflect on the impact of such difference... read more
Real-time accurate evaluation of heart rate status during physical activity is a critical requirement in physiological analysis, performance enhancement, and early warning systems for cardiovascular diseases. In this work, a lightweight hybrid machin... read more
This paper presents an algorithmic paradigm that will address a malware model in the form of a nonlinear set of differential equations. The neural networks are Morlet wavelet as estimate the state variables of the malware behavior. To maximize the ne... read more
Color fundus photographs (CFPs) are widely used for diabetic retinopathy (DR) screening due to accessibility. Optical coherence tomography (OCT) provides complementary depth-resolved retinal structure information but is less practical for large-scale... read more
BACKGROUND: Endometriosis, despite its high prevalence, is underdiagnosed and poorly managed due to lack of clinically validated biomarkers and pathophysiological insight. Menstrual blood-derived stem cells have been implicated in disease pathogenesi... read more
The rapid penetration of artificial intelligence in education has triggered unprecedented ethical risk perception and response challenges for educators, but existing research lacks systematic exploration of deep ethical cognitive mechanisms. To addre... read more
Gliomas and brain metastases (BMs) on MRI pose significant diagnostic challenges for radiologists. This study aims to develop a multi-task model and a computer-aided diagnosis (CAD) system for the detection and diagnosis of gliomas and BMs. This stud... read more
The introduction of artificial intelligence into healthcare is a reality. Drawing on literature, this critical reflection uses McCance and McCormack's Person-Centred Practice Framework to examine how artificial intelligence can both advance and under... read more
Pterygium is a common ocular surface disorder, with its prevalence strongly correlated to ultraviolet (UV) exposure in geographic regions. Epidemiological investigations reveal significant demographic variations, with higher incidences observed in ar... read more
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