本文摘譯自Medical Desing & OUTSOURCING

2020年6月18日?以下為詳文

美國GE Healthcare 公司的官員認(rèn)為，該公司新推出的胸腔護(hù)理套件產(chǎn)品（Lunit Insight CXR的八種AI算法集合）可以幫助臨床醫(yī)生對(duì)抗COVID-19。

GE網(wǎng)站截圖

據(jù)GE公司稱，新推出的AI套件可以快速分析胸部X線檢查結(jié)果并標(biāo)記異常，供放射科醫(yī)生復(fù)查。它能識(shí)別潛在的肺炎，即COVID-19癥狀；它還可以突出顯示結(jié)核病、肺結(jié)節(jié)和其他放射性的發(fā)現(xiàn)。

GE Healthcare公司CEO Kieran Murphy說：“這場大流行疫情已證明，提供醫(yī)療護(hù)理方面更為核心的技術(shù)是數(shù)據(jù)、分析、AI和互聯(lián)。對(duì)于GE Healthcare公司而言，這意味著繼續(xù)推進(jìn)智能健康并提供創(chuàng)新技術(shù)。這一新產(chǎn)品就是最新示例，說明了X射線和AI是如何在新冠病毒威脅中支持最高標(biāo)準(zhǔn)的患者護(hù)理的?！?/span>

通過胸腔護(hù)理套件產(chǎn)品，放射科能讀取到一份PACS中已標(biāo)記的報(bào)告，醫(yī)生們可以快速發(fā)現(xiàn)異常評(píng)分，針對(duì)八種中的每一個(gè)可能的異常、圖像疊加和書面位置描述，來幫助快速診斷和治療。

牛津大學(xué)放射學(xué)教授、歐洲胸科影像學(xué)會(huì)2020年主席Fergus Gleeson說：“臨床醫(yī)生正在尋找臨床驗(yàn)證的方法，為盡早識(shí)別癥狀并確定哪些患者處于更高并發(fā)癥風(fēng)險(xiǎn)且需要積極監(jiān)控提供幫助。AI可以幫助識(shí)別這些差別，使醫(yī)院資源能夠針對(duì)那些住院期間和出院后將需要它們的人?！?/span>

原文：

GE Healthcare launches chest X-ray AI to better spot COVID-19

June 18, 2020 By Chris Newmarker Leave a Comment

Officials at GE Healthcare (NYSE:GE) think the company’s new Thoracic Care Suite — a collection of eight AI algorithms from Lunit Insight CXR — could help clinicians in the fight against COVID-19.

The AI suite, launched today, quickly analyzes chest X-ray findings and flags abnormalities for radiologist review, according to GE. It can spot potential pneumonia — a symptom of COVID-19. It can also highlight tuberculosis, lung nodules, and other radiological findings.

“The launch of our Thoracic Care Suite is a part of GE Healthcare’s larger effort to help ensure clinicians and partners on the front lines have the equipment they need to quickly diagnose and effectively treat COVID-19 patients,” GE Healthcare CEO Kieran Murphy said in a news release.

“The pandemic has proven that data, analytics, AI and connectivity will only become more central to delivering care. For GE Healthcare, that means continuing to advance intelligent health and providing innovative technologies. This new offering is the latest example of how X-ray and AI can uphold the highest standard of patient care amidst the most modern of disease threats,” Murphy said.

Radiology through the Thoracic Care Suite can read a flagged report in picture archiving and communication systems (PACS). They can quickly find the abnormality score for each of the eight possible abnormalities, an image overlay and a written location description to help expedite diagnosis and treatment.

“Clinicians are looking for clinically proven methods to help identify symptoms early and determine which patients are at higher risk of complications and need to be actively monitored,” said Fergus Gleeson, professor of radiology at the University of Oxford and the 2020 President of the European Society of Thoracic Imaging. “AI can help identify these distinctions and enable hospital resources to be targeted to those that will need them whilst in hospital and following discharge.”