PolyU and the Macau University of Science and Technology jointly developed a novel AI-assisted diagnostic system in conjunction with other Chinese institutions for rapid and accurate diagnosis of COVID-19 pneumonia! Entitled "Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography", the research of the novel system was published in the prestigious international journal, Cell.
The research team utilised a large computed tomography database of 3,777 patients to train and test the AI system, so that it can efficiently distinguish COVID-19 pneumonia from other viral pneumonia, and predict the severity level in 20 seconds, with an accuracy of up to 90% and above. Already implemented in many hospitals in different countries like Mainland China, the United States, Iran, Italy and Spain, the AI system could assist radiologists and physicians to perform a quick and accurate diagnosis, playing an important role when the health system is overloaded.
The research team utilised a large computed tomography database of 3,777 patients to train and test the AI system, so that it can efficiently distinguish COVID-19 pneumonia from other viral pneumonia, and predict the severity level in 20 seconds, with an accuracy of up to 90% and above. Already implemented in many hospitals in different countries like Mainland China, the United States, Iran, Italy and Spain, the AI system could assist radiologists and physicians to perform a quick and accurate diagnosis, playing an important role when the health system is overloaded.
