The Korean Society of Radiology holds a forum on the appropriate application of diagnostic assistance artificial intelligence on the 17th
Jan 15, 2025
The Korean Society of Radiology (Chairman Jung Seung-eun, professor of radiology at Eunpyeong St. Mary's Hospital) will hold a forum on the appropriate application of diagnostic assist artificial intelligence at No. 1002 of the Institute of Medical Life Industry at Catholic Medical University from 2 p.m. on the 17th. The two-hour forum will also be broadcast live on YouTube.
In this forum, three directors of the Korean Society of Radiology will discuss the current situation, problems, and solutions at hand in relation to the use of diagnostic-assisted artificial intelligence technology in the medical field.
After that, it will be held to explore a desirable direction of development through discussions by panels composed of experts from all walks of life.
Currently, it is difficult to apply the existing new medical technology evaluation system to diagnosis-assisted artificial intelligence technology without change.
As a result, there are several improved systems, but there are still difficulties in evaluation and compensation.
Choi Joon-il, director of policy research at the Korean Society of Radiology (Professor of Radiology at Seoul St. Mary's Hospital, Catholic University of Korea), pointed out that "To solve this problem, the government's recent reorganization of advanced medical technology systems and new medical technology market entry procedures are too business-friendly and lack consideration of patients and medical staff.".
The extension of the evaluation grace period aims to compensate for the difficulties of evidence-generating research, but on the other hand, it is highly likely to be abused in the pursuit of profits for medical institutions and companies.
Furthermore, a new system without an exit mechanism may leave technologies lacking clinical efficacy to remain in the market for the long term.
Obtaining consent forms may also be difficult to apply collectively in the case of medical assistance and diagnostic assistance artificial intelligence, which are not independent actions such as surgery or procedures.
Director Choi Joon-il said "In order to solve these problems, it is necessary to improve the system from a medical point of view and from a medical point of view and from a patient and medical staff."
Although the potential of diagnostic assistive AI has been confirmed in the research environment, it is common to not show the expected improvement effect in the actual treatment environment.
Therefore, for AI introduction to be successful, deep understanding of human-AI interactions, scientific approaches, utilization of AI through appropriate experts, and continuous performance monitoring and providing feedback are necessary.
Park Sung-ho (Professor of Radiology at Asan Medical Center), Editorial Director of the Korean Society of Radiology, said "Related policies and systems must also be reorganized based on these principles, so that AI can substantially contribute to improving patients and medical care. If these factors are overlooked and AI is introduced indiscriminately, it may not help medical staff and patients."
In order to safely utilize diagnostic-assisted AI medical technology, various problems must be recognized and solved.
The performance of AI may vary depending on the use environment, such as the characteristics of the equipment or the characteristics of the patient group, and should be used in environments and targets that meet the purpose of development.
In addition, there is a concern that the possibility of medical staff uncritically accepting AI results and the resulting independent judgment will be weakened.
The process of obtaining consent forms to guarantee the patient's right to know and choice is essential, but there are procedural burdens and cost problems, and reasonable measures are needed.
Lee Chung-wook (Professor of Radiology at Asan Medical Center) of the Korean Society of Radiology said, `In Korea's insurance premium system, which is less than the cost, diagnostic assistance artificial intelligence is also set at a very low premium, and eventually companies and medical institutions choose non-insurance premiums instead. We need reasonable pricing that is acceptable to users (doctors and hospitals), developers, and governments alike."
Chairman Jung Seung-eun said, `Diagnostic-assisted artificial intelligence is developing at a rapid pace, attracting attention as an innovative technology in the medical field. However, there are a number of obstacles and considerations regarding the introduction of actual medical sites""This forum was prepared to explore the development of diagnostic-assisted artificial intelligence technology and the direction of improvement of related systems." We hope that interested people will pay a lot of attention and participation."
In this forum, three directors of the Korean Society of Radiology will discuss the current situation, problems, and solutions at hand in relation to the use of diagnostic-assisted artificial intelligence technology in the medical field.
After that, it will be held to explore a desirable direction of development through discussions by panels composed of experts from all walks of life.
Currently, it is difficult to apply the existing new medical technology evaluation system to diagnosis-assisted artificial intelligence technology without change.
As a result, there are several improved systems, but there are still difficulties in evaluation and compensation.
Choi Joon-il, director of policy research at the Korean Society of Radiology (Professor of Radiology at Seoul St. Mary's Hospital, Catholic University of Korea), pointed out that "To solve this problem, the government's recent reorganization of advanced medical technology systems and new medical technology market entry procedures are too business-friendly and lack consideration of patients and medical staff.".
The extension of the evaluation grace period aims to compensate for the difficulties of evidence-generating research, but on the other hand, it is highly likely to be abused in the pursuit of profits for medical institutions and companies.
Furthermore, a new system without an exit mechanism may leave technologies lacking clinical efficacy to remain in the market for the long term.
Obtaining consent forms may also be difficult to apply collectively in the case of medical assistance and diagnostic assistance artificial intelligence, which are not independent actions such as surgery or procedures.
Director Choi Joon-il said "In order to solve these problems, it is necessary to improve the system from a medical point of view and from a medical point of view and from a patient and medical staff."
Although the potential of diagnostic assistive AI has been confirmed in the research environment, it is common to not show the expected improvement effect in the actual treatment environment.
Therefore, for AI introduction to be successful, deep understanding of human-AI interactions, scientific approaches, utilization of AI through appropriate experts, and continuous performance monitoring and providing feedback are necessary.
Park Sung-ho (Professor of Radiology at Asan Medical Center), Editorial Director of the Korean Society of Radiology, said "Related policies and systems must also be reorganized based on these principles, so that AI can substantially contribute to improving patients and medical care. If these factors are overlooked and AI is introduced indiscriminately, it may not help medical staff and patients."
In order to safely utilize diagnostic-assisted AI medical technology, various problems must be recognized and solved.
The performance of AI may vary depending on the use environment, such as the characteristics of the equipment or the characteristics of the patient group, and should be used in environments and targets that meet the purpose of development.
In addition, there is a concern that the possibility of medical staff uncritically accepting AI results and the resulting independent judgment will be weakened.
The process of obtaining consent forms to guarantee the patient's right to know and choice is essential, but there are procedural burdens and cost problems, and reasonable measures are needed.
Lee Chung-wook (Professor of Radiology at Asan Medical Center) of the Korean Society of Radiology said, `In Korea's insurance premium system, which is less than the cost, diagnostic assistance artificial intelligence is also set at a very low premium, and eventually companies and medical institutions choose non-insurance premiums instead. We need reasonable pricing that is acceptable to users (doctors and hospitals), developers, and governments alike."
Chairman Jung Seung-eun said, `Diagnostic-assisted artificial intelligence is developing at a rapid pace, attracting attention as an innovative technology in the medical field. However, there are a number of obstacles and considerations regarding the introduction of actual medical sites""This forum was prepared to explore the development of diagnostic-assisted artificial intelligence technology and the direction of improvement of related systems." We hope that interested people will pay a lot of attention and participation."
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This article was translated by Naver AI translator.
