in Thailand to Ramathibodi Hospital, for faster and more accurate diagnosis
Mr. Buddhipongse Punnakanta (3rd left), Digital Economy and Society Minister; together with Mr. Abel Deng (far left), CEO, Huawei Technologies (Thailand) Co., Ltd., presented the AI-assisted diagnosis solution that helps leading hospitals in China beat the COVID-19 crisis to Ramathibodi Hospital, led by Professor Piyamitr Sritara (2nd left), M.D., Dean, Faculty of Medicine Ramathibodi Hospital, Mahidol University.
The presentation is joined by Mr. Ekasit Kunanantakul (4th left), Secretary to the Minister of Digital Economy and Society.
The Digital Economy and Society Ministry, together with Huawei Technologies (Thailand) Co., Ltd., is helping to enhance Thai medical personnel at Ramathibodi Hospital with CLOUD technology, by providing CD with AI solution for CT quantification results of COVID-19 diagnosis designed to reduce the time in medical image analyzing of COVID-19 suspected cases to as quick as 25 seconds per case.
The AI solution of HUAWEI CLOUD applies computer vision to leverage the healthcare front in Thailand. This illustrates how HUAWEI CLOUD, the first world-leading cloud service provider in Thailand, helps transform Thai medical services to combat the impact of COVID-19 during this challenging time.
Mr. Puttipong Punnakanta, Digital Economy and Society Minister, commented about the partnership with Huawei Technologies (Thailand) to bring the technological innovation to the foremost state hospital: “As one of the determinants for the diagnosis and treatment of COVID-19, CT scans are fast and accurate but require multiple rechecks and image reviews. To help reduce the workload of Thai medical personnel in this situation, the MDES partners with Huawei to bring its innovation AI on HUAWEI CLOUD to help doctors analyse CT quantification results with faster and higher diagnosis efficiency.”
Professor Piyamitr Sritara, Dean, Faculty of Medicine Ramathibodi Hospital, Mahidol University said: “The Artificial Intelligent technology helps clinical doctors achieve faster and more accurate diagnosis. The AI delivers quantitative evaluations of both conditions through CTs of patients’ lungs. By combining clinical information and laboratory results, doctors can more accurately distinguish between early, advanced, and severe stages of COVID-19. It reduces the time required for image analysis to as quick as 25 seconds per case and also facilitates early screening and prevention. The solution can greatly help reduce the workload of Thai medical personnel in this situation.”
CT scans are a medical imaging procedure for the diagnosis and treatment of COVID-19. However, due to large numbers of lesions in lungs and rapid changes, multiple rechecks and image reviews are required in a short period of time, significantly increasing the workloads of imaging doctors. Furthermore, radiology specialists who can analyse patients with the novel coronavirus COVID-19 are still limited. The AI technology from HUAWEI CLOUD can help process medical image and CT quantification result data from patients’ lungs by utilizing Artificial Intelligent technology, in order to analyse whether they are infected with the new Corona virus (Novel coronavirus, SARS-COV-2) or the COVID-19 disease. More than 20 hospitals in China have adopted this technology to handle the COVID-19 outbreak and after continuing training and optimization, the solution has become more efficient with classification accuracy of 96% and with DICE scores higher than 85.The AI solution from HUAWEI CLOUD will help reduce the heavy workloads of doctors, making them available to diagnose more Thai patients and handle the COVID-19 situation more effectively.
Recently, Huawei Technologies (Thailand) Co., Ltd., provided Huawei Telemedicine Video Conference Solution to the Ministry of Public Health of Thailand, as a part of its plans to help cope with COVID-19 situation. The solution is a real-time and fully-functional teleconference system that can facilitate Thai medical staff to work more smoothly. Doctors can monitor and diagnose patients from everywhere through their own smart devices. Most importantly, it also reduces risk of infection for Thai medical teams.
