Our COVID-19 prediction models are composed of a novel coronavirus pneumonia (NCP) recognition model trained by a large number of COVID-19 patient CT image data sets. It can accurately identify important clinical markers related to the characteristics of NCP lesions and help the radiologists and clinicians quickly diagnose and identify COVID-19 patients for early intervention and appropriate allocation of resources.
The diseases caused by the 2019 novel coronavirus (SARS-CoV-2) are collectively referred to as COVID-19. These diseases have a high mortality rate, which can cause fever, cough and other flu-like symptoms. Many affected patients will develop novel coronavirus pneumonia (NCP) and rapidly develop severe acute respiratory failure. Chest computed tomography (CT) radiography is an important tool for diagnosing lung diseases including NCP. Our COVID-19 prediction models based on deep learning algorithms use a large amount of clinical data and CT to establish NCP recognition models, which helps to distinguish NCP and common influenza or other types of pneumonia (such as viral pneumonia and bacterial pneumonia) can help radiologists and clinicians quickly diagnose and identify COVID-19 patients, so that clinicians can plan for early monitoring and management of these patients.
Figure 1 Lung Lesion Segmentation Model
Figure 2 Diagnosis Analysis Model
MedAI, a division of MedAI, provides AI-driven solutions for COVID-19 prediction and diagnosis according to clients' detailed requirements.
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