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ETRI publishes "Report on Medical AI Technology and Standards for Infectious Disease Response."
Response to infectious diseases such as COVID-19
Analysis of Medical AI Technology Standards Trends
With the global spread of COVID-19 and heightened interest in disaster response, a report comprehensively analyzing trends in AI technologies and standards required for infectious disease response has been released.
The Electronics and Telecommunications Research Institute (ETRI) announced on the 15th that it had published a report titled “Technical Standard Trends in Medical Artificial Intelligence for Responding to Infectious Disease Disasters.”
The report analyzed AI use cases throughout the entire infectious disease disaster cycle and described possible response measures in the event of future infectious disease disasters.

The report divided the infectious disease disaster stage into four stages: ▲prediction and prevention ▲emergency operation and response ▲prevention of infection spread ▲treatment and new drug development.
Among these, the six most widely utilized application areas of AI technology were identified as: automatic diagnosis assistance, patient monitoring and prognosis prediction, self-diagnosis testing and voice recognition, disease and disaster prediction, contact tracing and monitoring, and new drug development.
The report analyzed the application of AI technology standards and the status of research and development in each field and also presented future utilization plans.
We also analyzed the trends in AI technology standardization required for infectious disease disaster response, such as ITU-T/WHO, DICOM, and HL7/FHIR, as well as related standardization trends in the US and China, as well as trends in open data and open science utilizing AI technology.r />
ETRI stated, "This report, created in collaboration with domestic and international medical AI experts, is expected to be of great help in establishing a foundation and strategy for infectious disease disaster response that actively utilizes AI technology and ICT."
Going forward, ETRI's Standards Research Center plans to develop international standards for AI technologies needed for more specific infectious disease disaster response based on this report.
This report will be distributed to government ministries and related organizations at home and abroad, and can also be viewed on the ETRI website .
Analysis of Medical AI Technology Standards Trends
With the global spread of COVID-19 and heightened interest in disaster response, a report comprehensively analyzing trends in AI technologies and standards required for infectious disease response has been released.
The Electronics and Telecommunications Research Institute (ETRI) announced on the 15th that it had published a report titled “Technical Standard Trends in Medical Artificial Intelligence for Responding to Infectious Disease Disasters.”
The report analyzed AI use cases throughout the entire infectious disease disaster cycle and described possible response measures in the event of future infectious disease disasters.
▲ Medical artificial intelligence technology for infectious disease disaster response and
ETRI published the standard report [Photo = ETRI]
ETRI published the standard report [Photo = ETRI]
The report divided the infectious disease disaster stage into four stages: ▲prediction and prevention ▲emergency operation and response ▲prevention of infection spread ▲treatment and new drug development.
Among these, the six most widely utilized application areas of AI technology were identified as: automatic diagnosis assistance, patient monitoring and prognosis prediction, self-diagnosis testing and voice recognition, disease and disaster prediction, contact tracing and monitoring, and new drug development.
The report analyzed the application of AI technology standards and the status of research and development in each field and also presented future utilization plans.
We also analyzed the trends in AI technology standardization required for infectious disease disaster response, such as ITU-T/WHO, DICOM, and HL7/FHIR, as well as related standardization trends in the US and China, as well as trends in open data and open science utilizing AI technology.r />

ETRI stated, "This report, created in collaboration with domestic and international medical AI experts, is expected to be of great help in establishing a foundation and strategy for infectious disease disaster response that actively utilizes AI technology and ICT."
Going forward, ETRI's Standards Research Center plans to develop international standards for AI technologies needed for more specific infectious disease disaster response based on this report.
This report will be distributed to government ministries and related organizations at home and abroad, and can also be viewed on the ETRI website .
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