In the last two months, the R&D team Anke and the engineers of the HTS Med have developed software based on artificial intelligence for the early diagnosis and follow-up of COVID19 . The machine learning system is able to provide a response in 30 seconds starting from the image analysis of the pulmonary CT . The effectiveness of this software has been demonstrated on numerous patients in the hospitals of Wuhan, in the province of HuBei.

The AI ​​technology of ANKE , uses big data to learn and analyze the characteristics and the typical positions of pneumonia COVID19 , through the methodology of "deep learning". The system is able to read and analyze the CT of a patient within 30 seconds of inserting the exam into the workstation. The application based on artificial intelligence, in addition to providing the immediate response on the type of pneumonia (viral from Covid-19 vs. other diseases such as bacterial pneumonia, COPD, etc.), is able to calculate the volume of lung compromise expressed in cubic cm and therefore to provide an assessment of prognosis, improvement or worsening of the patient's situation. The AI ​​technology of ANKE , uses big data to learn and analyze the characteristics and the typical positions of pneumonia COVID19 , through the methodology of "deep learning". The system is able to read and analyze the CT of a patient within 30 seconds of inserting the exam into the workstation. The application based on artificial intelligence, in addition to providing the immediate response on the type of pneumonia (viral from Covid-19 vs. other diseases such as bacterial pneumonia, COPD, etc.), is able to calculate the volume of lung compromise expressed in cubic cm and therefore to provide an assessment of prognosis, improvement or worsening of the patient's situation.