Coreline AI Coronary Artery Calcium Solution Shows 99.2% Accuracy From a Population Study
전체 맥락을 이해하기 위해서는 본문 보기를 권장합니다.
Matthijs Oudkerk, Professor of Radiology at the University Medical Center Groningen and Principal Investigator for Radiology of the NELSON Lung Cancer Detection Study, concluded that "The deep learning based software for automatic CAC scoring can be used in a cardiovascular CT screening setting with high accuracy for cardiovascular risk categorization and initiation of preventive treatment."
"Early detection and treatment are very important to reduce coronary heart disease, the second leading cause of death globally," said Jinkook Kim, CEO of Coreline. "The automatic AI solution is becoming the very key tool for early detection of coronary anomalies, contributing to heart health."
이 글자크기로 변경됩니다.
(예시) 가장 빠른 뉴스가 있고 다양한 정보, 쌍방향 소통이 숨쉬는 다음뉴스를 만나보세요. 다음뉴스는 국내외 주요이슈와 실시간 속보, 문화생활 및 다양한 분야의 뉴스를 입체적으로 전달하고 있습니다.
Coreline Soft, the developer of the AI Coronary Artery Calcium (CAC) solution named AVIEW CAC, announced that its AI CAC solution showed 99.2% accuracy from a population study conducted by the Institute for Diagnostic Accuracy (iDNA), the NELSON trial team in Europe.
The study verified the performance of the AI-based Coronary Artery Calcium scoring solution compared to an experienced reader from a well-defined screening population.
The prospective data acquired from the ROBINSCA screening trial in the Netherlands was used and the study found that ‘the deep learning-based software for automatic CAC scoring performed excellently in a population-based screening setting to determine risk categorization in asymptomatic participants.’ The research team concluded that the diagnostic accuracy of the company’s AI system was 99.2 percent for initiation of treatment from the low dose computed tomography.
Matthijs Oudkerk, Professor of Radiology at the University Medical Center Groningen and Principal Investigator for Radiology of the NELSON Lung Cancer Detection Study, concluded that “The deep learning based software for automatic CAC scoring can be used in a cardiovascular CT screening setting with high accuracy for cardiovascular risk categorization and initiation of preventive treatment.”
"Early detection and treatment are very important to reduce coronary heart disease, the second leading cause of death globally,” said Jinkook Kim, CEO of Coreline. “The automatic AI solution is becoming the very key tool for early detection of coronary anomalies, contributing to heart health.”
The study and its results are in the article of the JACC (Journal of the American College of Cardiology) and published online in August 2021.
이 뉴스는 기업·기관·단체가 뉴스와이어를 통해 배포한 보도자료입니다.
출처:Coreline Soft
보도자료 통신사 뉴스와이어(www.newswire.co.kr) 배포
Copyright © 뉴스와이어. 무단전재 및 재배포 금지.
- 한화, 영국 서리대학과 우주사업 MOU 체결… 우주산업 글로벌 협력 강화 - 뉴스와이어
- KG 모빌리티, 2024년 상반기 흑자 기록 - 뉴스와이어
- 한화그룹, 3개 계열사 대표이사 내정 인사 발표 - 뉴스와이어
- 평화의 섬 제주에서 공존을 꿈꾸며 전하는 메시지… 전시회 ‘내가 만든 세상’ 풍성한 콘텐츠
- 대한전선, 신용등급 A로 상향… 안정적 사업 및 영업수익성 - 뉴스와이어
- Lifeite, 신제품 공기 순환 선풍기 출시… 가정의 시원함을 새롭게 경험하다 - 뉴스와이어
- 포스트 아포칼립틱 도시 건설 게임 ‘엔드존 2’ 얼리 액세스 버전 8월 26일 대공개 - 뉴스와이어
- ‘장마 끝나면 폭염 온다’ 삼성스토어, 에어컨 판매량 급증 - 뉴스와이어
- 스타피쉬엔터테인먼트, 트위치 최상위 여자 스트리머 중 한명인 겨우디 전속계약 - 뉴스와이어
- 아이마이폰, AI 프로그램 2종 출시… AI 영상 제작 도구 ‘Novi AI’와 다기능 AI 도구 ‘ChatArt’ - 뉴