As we continue to face the rapid increase in confirmed Coronavirus cases around the world, we created an AI-based pneumonia detection platform for COVID-19. The system is able to automatically detect high-risk patients with pneumonia that will then send information to doctors. With that information, the doctors are then able to make follow-up decisions and provide a treatment plan after the diagnosis. In specific, doctors from the Department of Medical Imaging provided us thousands of positive and negative chest x-rays for pneumonia as a training set. Our system has already been tested with and adopted by doctors at the NCKU Hospital. The system achieved 95% accuracy to detect the pneumonia symptom, based on 1400 test images.

This system provides multiple functions for digital slides, allowing users to complete all tasks without switching between different software systems. The functions include, Project management, Image management, Annotation, Zoon In / Zoom Out view, Navigation view, Category shortcuts, Authority management,Annotation overview.

Nanopharmaterial is a term by combining pharmaceuticalmaterial via nanotechnology. Here we demonstrate this concept by developing a novel nanopharmaterial, so called 177Lu-Gold nanostar (AuNS). 177Lu is a therapeutic radionuclide emitting moderate-energy beta particles as well as gamma rays for SPECT/CT-based imaging diagnosis. Nanostar can target tumors by enhanced permeability retention (EPR) effectsowns the photothermal therapeutic potent. The core technology is to integrate radionuclidenanomaterial to perform a new radio-nanopharmaterial for tumor target theranostic purpose.