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DATE: 2022-09-30
‘AI for Children’ hoped to advance diagnosing, treating rare diseases in children
AI integrated solutions for Improving Diagnosis and Treatment of Rare Childhood Diseases
Artificial intelligence (AI) integrated solutions that can be used through the entire
cycle of diagnosing, treating, and managing prognosis for children with rare
diseases will be developed.
…
Professor Chae Jong-hee of the Department of Pediatrics and Adolescents at Seoul National University Hospital (SNUH) made these and other points while presenting “AI integrated solution for multifaceted analysis of rare childhood diseases” at a seminar organized by the National IT Industry Promotion Agency as part of the K-HOSPITAL FAIR 2022-KHF 2022 at COEX in southern Seoul on Thursday.
More than 7,000 rare childhood diseases have low incidence and prevalence, making it difficult to diagnose and provide proper treatment.
In particular, the number of doctors who specialize in rare childhood diseases is small, and treatment infrastructure is concentrated in Seoul and its vicinity, taking up to six years to diagnose them.
The problems do not end there. As there is no “disease name” during the time taken to be diagnosed as a rare disease, it is difficult for patients to receive financial support for diagnosis and treatment.
“More than 50 percent of doctors who see rare childhood diseases are in the greater Seoul area, and the high-level technology needed for diagnosis is also concentrated in the metro region, leaving most patients no choice but to flock to Seoul and its vicinity,” Professor Chae said.
The current situation is that medical expenses or treatment expenses are not supported because the diagnosis name is not attached for a long time taken to diagnose the disease. In addition to symptoms and pains for patients, the financial and social burdens on their families are also very big, he added.
All of these made 11 large domestic hospitals begin to develop “AI for Children (A4C)” jointly, which can reduce the imbalance in patient referral and return between the greater Seoul area and provinces due to the gap in diagnostic ability and treatment levels of rare diseases, and present improvement directions for diagnosis, treatment, and prognosis management of rare diseases in children.
A4C is an AI solution, which creates large-scale data through a network connection between the metro region and the regional centers, builds an accurate diagnostic algorithm based on this, and provides customized treatment information for about 7,000 rare diseases, and enables prognosis management.
Sources : KBR(https://www.koreabiomed.com)
…
Professor Chae Jong-hee of the Department of Pediatrics and Adolescents at Seoul National University Hospital (SNUH) made these and other points while presenting “AI integrated solution for multifaceted analysis of rare childhood diseases” at a seminar organized by the National IT Industry Promotion Agency as part of the K-HOSPITAL FAIR 2022-KHF 2022 at COEX in southern Seoul on Thursday.
More than 7,000 rare childhood diseases have low incidence and prevalence, making it difficult to diagnose and provide proper treatment.
In particular, the number of doctors who specialize in rare childhood diseases is small, and treatment infrastructure is concentrated in Seoul and its vicinity, taking up to six years to diagnose them.
The problems do not end there. As there is no “disease name” during the time taken to be diagnosed as a rare disease, it is difficult for patients to receive financial support for diagnosis and treatment.
“More than 50 percent of doctors who see rare childhood diseases are in the greater Seoul area, and the high-level technology needed for diagnosis is also concentrated in the metro region, leaving most patients no choice but to flock to Seoul and its vicinity,” Professor Chae said.
The current situation is that medical expenses or treatment expenses are not supported because the diagnosis name is not attached for a long time taken to diagnose the disease. In addition to symptoms and pains for patients, the financial and social burdens on their families are also very big, he added.
All of these made 11 large domestic hospitals begin to develop “AI for Children (A4C)” jointly, which can reduce the imbalance in patient referral and return between the greater Seoul area and provinces due to the gap in diagnostic ability and treatment levels of rare diseases, and present improvement directions for diagnosis, treatment, and prognosis management of rare diseases in children.
A4C is an AI solution, which creates large-scale data through a network connection between the metro region and the regional centers, builds an accurate diagnostic algorithm based on this, and provides customized treatment information for about 7,000 rare diseases, and enables prognosis management.
Sources : KBR(https://www.koreabiomed.com)