Introduction: Research concerning artificial intelligence in breast cancer detection has primarily focused on population screening. However, Hong Kong lacks a population-based screening programme. This study aimed to evaluate the potential of artificial intelligence-based computer-assisted diagnosis (AI-CAD) program in symptomatic clinics in Hong Kong and analyse the impact of radio-pathological breast cancer phenotype on AI-CAD performance.
View Article and Find Full Text PDFThe integration of lithium niobate (LiNbO or LN) and silicon (Si) has emerged as a promising heterogeneous platform for microelectromechanical systems (MEMSs) and photonic integrated circuits (PICs). Particularly, the lithium niobate on silicon (LNOS) architecture leverages the superior piezo-optomechanical properties of LN, making it compatible with superconducting circuits and quantum systems. This opens an avenue for the development of advanced quantum sensors and processors.
View Article and Find Full Text PDFNatural selection has driven arthropods to evolve fantastic natural compound eyes (NCEs) with a unique anatomical structure, providing a promising blueprint for artificial compound eyes (ACEs) to achieve static and dynamic perceptions in complex environments. Specifically, each NCE utilises an array of ommatidia, the imaging units, distributed on a curved surface to enable abundant merits. This has inspired the development of many ACEs using various microlens arrays, but the reported ACEs have limited performances in static imaging and motion detection.
View Article and Find Full Text PDFExcessive CO and food shortage are two grand challenges of human society. Directly converting CO into food materials can simultaneously alleviate both, like what green crops do in nature. Nevertheless, natural photosynthesis has a limited energy efficiency due to low activity and specificity of key enzyme D-ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO).
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