Publications by authors named "Ze Yu Hou"
Intelligent neuromorphic hardware holds considerable promise in addressing the growing demand for massive real-time data processing in edge computing. Resistive switching materials with intrinsic anisotropy and a compact design of non-volatile memory devices with the capability of handling spatiotemporally reconstructed data is crucial to perform sophisticated tasks in complex application scenarios. In this study, an anisotropic resistive switching cell with a planar configuration based on lithiated NbSe nanosheets is demonstrated.
View Article and Find Full Text PDFArticle Synopsis
- Hepatocellular carcinoma (HCC) is a major cancer that leads to high mortality rates globally, and early detection is key for better treatment outcomes.
- This study aims to create a deep learning model that uses electronic health record data to predict which patients are likely to be diagnosed with HCC within a year.
- The model was trained on data from nearly 48,000 individuals and demonstrated a high predictive accuracy, with an area under the receiver operating curve (AUROC) of 0.94 for predicting HCC risk one year in advance.
User satisfaction with a smartphone-compatible, artificial intelligence-based cutaneous pigmented lesion evaluator.
Comput Methods Programs Biomed
October 2020
Introduction: Melanoma is the most aggressive type of skin cancer, and it may arise from a cutaneous pigmented lesion. As artificial intelligence (AI)-based teledermatology services hold promise in redefining the melanoma screening paradigm, a study that evaluates user satisfaction with a smartphone-compatible, AI-based cutaneous pigmented lesion evaluator is lacking.
Methods: Data was collected between April and May 2019 in Taiwan.