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ÇѱÛÁ¦¸ñ(Korean Title) |
´Ù±â°ü Àӻ󿬱¸¸¦ À§ÇÑ ÀΰøÁö´É ÇнÀ Ç÷§Æû ±¸Ãà |
¿µ¹®Á¦¸ñ(English Title) |
Construction of Artificial Intelligence Training Platform for Multi-Center Clinical Research |
ÀúÀÚ(Author) |
ÀÌÃæ¼·
±èÁö¾ð
³ë½ÃÇü
±èÅÂÈÆ
À±±ÇÇÏ
Á¤Ã¢¿ø
Lee Chung-Sub
Kim Ji-Eon
No Si-Hyeong
Kim Tae-Hoon
Yoon Kwon-Ha
Jeong Chang-Won
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¿ø¹®¼ö·Ïó(Citation) |
VOL 09 NO. 10 PP. 0239 ~ 0246 (2020. 10) |
Çѱ۳»¿ë (Korean Abstract) |
ÀΰøÁö´É ±â¼úÀ» µµÀÔÇÑ ÀÇ·áºÐ¾ß¿¡¼ Áø´Ü ¹× ¿¹Ãø°ú ¿¬°èÇÑ ÀÓ»óÀÇ»ç°áÁ¤Áö¿ø ½Ã½ºÅÛ(CDSS)¿¡ °ü·ÃµÈ ¿¬±¸°¡ È°¹ßÇÏ°Ô ÁøÇàµÇ°í ÀÖ´Ù. ƯÈ÷, ÀΰøÁö´É ±â¼ú Àû¿ë¿¡ °¡Àå ¸¹Àº À̽´¸¦ ÀÏÀ¸Å°°í ÀÖ´Â ÀǷ῵»ó±â¹ÝÀÇ ÁúȯÁø´Ü¿¬±¸°¡ ´Ù¾çÇÑ Á¦Ç°À¸·Î Ãâ½ÃµÇ°í ÀÖ´Â ½ÇÁ¤ÀÌ´Ù. ±×·¯³ª ÀǷ῵»ó µ¥ÀÌÅÍ´Â ÀÏ°üµÇÁö ¾ÊÀº µ¥ÀÌÅ͵é·Î ÀÌ·ç¾îÁ® ÀÖÀ¸¸ç, ±×°ÍÀ» Á¤Á¦ÇÏ¿© ¿¬±¸¿¡ »ç¿ëÇϱâ À§Çؼ´Â »ó´çÇÑ ½Ã°£ÀÌ ÇÊ¿äÇÑ °ÍÀÌ Çö½ÇÀÌ´Ù. º» ³í¹®Àº ÀǷ῵»ó Ç¥ÁØÀÎ R_CDM(Radiology Common Data Model)À¸·Î º¯È¯ÇÏ°í, ±× µ¥ÀÌÅ͸¦ ±â¹ÝÀ¸·Î ÀΰøÁö´É ¾Ë°í¸®Áò °³¹ß ¿¬±¸¸¦ Áö¿øÇϱâÀ§ÇÑ ¿ø½ºÅé ÀΰøÁö´ÉÇнÀ Ç÷§Æû¿¡ ´ëÇÏ¿© ±â¼úÇÑ´Ù. À̸¦ À§ÇØ ±âÁ¸ °øÅëµ¥ÀÌÅ͸ðµ¨(CDM : Common Data Model)°ú ¿¬°è¿¡ ÁßÁ¡À» µÎ¾î DICOM (Digital Imaging and Communications in Medicine) ű×Á¤º¸¸¦ ±â¹ÝÀ¸·Î ÀǷ῵»ó Ç¥ÁØ ¸ðµ¨ÀÇ ½ºÅ°¸¶¿Í ´Ù±â°ü ¿¬±¸¸¦ À§ÇÑ Report Á¤º¸¸¦ Æ÷ÇÔÇÏ¿© ½Ã½ºÅÛÀ» ¸ðµ¨¸µÇÏ¿´´Ù. ÀÌ·¸°Ô º¯È¯µÈ µ¥ÀÌÅÍ ÁýÇÕÀ» ±â¹ÝÀ¸·Î ÀΰøÁö´É ÇнÀ Ç÷§Æû¿¡¼ ¼öÇà °úÁ¤À» °á°ú·Î º¸ÀδÙ. Á¦¾ÈÇÑ Ç÷§ÆûÀ» ÅëÇØ ´Ù¾çÇÑ ¿µ»ó±â¹Ý ÀΰøÁö´É ¿¬±¸¿¡ È°¿ëµÉ °ÍÀ¸·Î ±â´ëÇÏ°í ÀÖ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In the medical field where artificial intelligence technology is introduced, research related to clinical decision support system(CDSS) in relation to diagnosis and prediction is actively being conducted. In particular, medical imaging-based disease diagnosis area applied AI technologies at various products. However, medical imaging data consists of inconsistent data, and it is a reality that it takes considerable time to prepare and use it for research. This paper describes a one-stop AI learning platform for converting to medical image standard R_CDM(Radiology Common Data Model) and supporting AI algorithm development research based on the dataset. To this, the focus is on linking with the existing CDM(common data model) and model the system, including the schema of the medical imaging standard model and report information for multi-center research based on DICOM(Digital Imaging and Communications in Medicine) tag information. And also, we show the execution results based on generated datasets through the AI learning platform. As a proposed platform, it is expected to be used for various image-based artificial intelligence researches.
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Å°¿öµå(Keyword) |
ÀÇ·á¿ë µðÁöÅÐ ¿µ»ó ¹× Åë½Å
ÀǷ῵»ó °øÅëµ¥ÀÌÅÍ ¸ðµ¨
ÀÇ·áºòµ¥ÀÌÅÍ
ÀΰøÁö´É ÇнÀ Ç÷§Æû
¸Ó½Å·¯´×
DICOM
Radiology_CDM
Medical Bigdata
Artificial Intelligence Training Platform
Machine Learning
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ÆÄÀÏ÷ºÎ |
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