Artificial Intelligence for Coronavirus Outbreak by Simon James Fong & Nilanjan Dey & Jyotismita Chaki

Author:Simon James Fong & Nilanjan Dey & Jyotismita Chaki
Language: eng
Format: epub
ISBN: 9789811559365
Publisher: Springer Singapore

Since January 2019, medical staff at radiology department of Zhongnan Hospital, China started using AI software to screen typical or partial visual signs of lung pneumonia manifested by COVID-19 from CT scans. The speed and convenience gained by the AI software relieve frontline healthcare workers as well as hospital radiologists from their overloaded duties. The speed-up of the process helps not only in diagnosis, but the efficiency extends to deciding who to isolate, who are confirmed, what treatments should be appropriate, etc. Even the slightest speed-up means a lot in saving lives as the hospitals in Wuhan were quickly overwhelmed by increasingly large number of patients like tsunami in a very short time, as the virus hit hard in Wuhan in January and February. The AI software alone, however, does not confirm whether a person has contracted the disease or not, but it offers good indication with reasonable accuracy on recognizing a pneumonia condition from the lung images of CT scans. The indication is useful for diagnosis that would have to be followed up with other lab tests and further observations. InferVision is one of the pioneer developers of AI-based COVID-19 diagnosis software, whose product was intensively used by 34 hospitals in China, examined lung images of CT scans from over 32,000 suspected cases. The processing time was reported to have reduced from typically 15 min to 3 min. InferVision which is a Beijing company backed by Google Sequoia Capital is an example of how AI software was deployed in such large scale at the soonest possible timing since the early days of outbreak. A screenshot of the AI-based COVID-19 software is shown in Fig. 2.9. It can be seen that the GUI is carefully design with a futuristic calming blue and black theme which causes minimum distraction; the output of the AI diagnosis is abstract and stands out in the center, conveying critical information to the users at an easy glance. Secondary information and details are at the sides. Allowing medical staff at the crucial time to stay focused, calm and be well informed by AI diagnosis is very important. On 11 March 2020, it is reported that InferVision AI diagnosis software was exported to Japan, as a global effort to help medical staff doing screening and to stop virus spreading as early as possible.

Fig. 2.9The GUI of an AI software for COVID-19 diagnosis (image courtesy by Beijing InferVision Technology Co., Ltd.)

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