Daniel Tse

TL;DR: A robust assessment of the AI system paves the way for clinical trials to improve the accuracy and efficiency of breast cancer screening and using a combination of AI and human inputs could help to improve screening efficiency.

TL;DR: A convolutional neural network performs automated prediction of malignancy risk of pulmonary nodules in chest CT scan volumes and improves accuracy of lung cancer screening.

TL;DR: Wang et al. as mentioned in this paper put forward the application of blockchain technology in information security of the food supply chain and compared it with the traditional supply chain system. But these technologies have not been able to achieve more accurate traceability, these results cannot be directly used in Chinese market.

TL;DR: Expert-level models for detecting clinically relevant chest radiograph findings were developed for this study by using adjudicated reference standards and with population-level performance estimation.

TL;DR: In this article, a deep learning system was developed for predicting disease-specific survival for stage II and III colorectal cancer using 3652 cases (27,300 slides).