China News Service, Guangzhou, August 4th, title: Guangdong "5G+AI" technology empowers grassroots hospitals with "smart" treatment
Author Cai Minjie Zhang Yang
A remote consultation of difficult cases spanning 300 kilometers was recently conducted in conjunction with Sun Yat-sen Memorial Hospital of Sun Yat-sen University in Guangzhou and Jiexi County People's Hospital in Jieyang City. The professor from Sun Yat-sen Memorial Hospital analyzed the condition of a patient with "cerebral artery occlusion and cerebral infarction" through the remote difficult case consultation system with the local surgeon.
This remote consultation allows patients to receive clinical guidance from experts from high-quality medical institutions in the primary hospitals, alleviating the difficult and expensive medical service plight of grassroots residents. At the same time, this way of answering questions online will also help improve the level of diagnosis and treatment skills of primary medical staff.
With the support of Internet 5G technology and artificial intelligence technology AI, the application scenarios of smart medical care can be realized in more regions.
In order to use information technology to promote the balanced development of medical services, Guangdong is the first to propose the widespread application of artificial intelligence technology, clinical decision-making systems, and intelligent medical equipment in medical and health institutions below the county level to improve the quality of medical services.
Up to now, the Guangdong telemedicine project has covered 21 prefectural and municipal health bureaus, 20 provincial hospitals, and 2,377 village health stations in the province.
"With the support of 5G technology, a patient getting in an ambulance is equivalent to entering an emergency room." Yu Tao, deputy director of the emergency department of Sun Yat-sen Memorial Hospital of Sun Yat-sen University, introduced that using 5G network technology, doctors in ambulances can use smart devices. A series of examinations were completed, and a large amount of vital information such as medical images, patient signs, and condition records were transmitted back to the hospital in real time through the 5G network. With the linkage between the pre-hospital and the hospital, emergency doctors can formulate rescue plans, change the fragile "single-chain" pre-hospital emergency mode, and solve the earliest one-kilometer problem of pre-hospital emergency.
Cervical cancer and breast cancer are the most common malignant tumors among women. However, due to the shortage of grassroots ultrasound doctors, full-time cytopathologists or cell screeners, the prevalence of cervical cancer and breast cancer early screening industries in mainland China is low, and the screening effect is still far behind compared with overseas.
Sun Yat-sen Memorial Hospital of Sun Yat-sen University uses artificial intelligence technology to establish a cervical cell pathology-assisted diagnosis system. Only the prepared cervical cell slides are scanned, and the machine-assisted system can issue a diagnosis report. At present, this system can achieve a leakage rate of less than 3% for high-grade lesions.
"Grassroots hospitals only need to scan glass slides, analyze them through artificial intelligence technology, and transmit the data remotely to realize the mode of'primary inspection, superior diagnosis'. On this basis, digital slide case libraries can also be established to improve primary pathology personnel Quality technology promotes the development of basic pathology disciplines." said Ouyang Nengtai, director of the Cell and Molecular Center of Sun Yat-sen Memorial Hospital.
In cardiovascular medicine, artificial intelligence technology based on 5G technology is also used for remote control and auxiliary collection of cardiac color Doppler ultrasound. Zhang Yuling, Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, stated that the cardiac color Doppler ultrasound collection and diagnosis under this technology can solve the problems of regionalization and uneven distribution of medical care through the realization of remote clinical echocardiographic consultation. (Finish)