美军启动AI新冠疫情检测系统(英文)

2020-09-24 智邦网

编译 致远

C4ISR网9月23日报道

9月22日,美国防部宣布,由美国防创新单元、国防威胁降低局和飞利浦医疗保健公司联合发起新冠疫情检测项目,旨在发现新冠病毒感染情况。

该项目作为国防部“威胁暴露快速分析”(RATE)项目组成部分,利用机器学习和AI技术分析生物特征数据,及时发现无症状感染者或在症状出现前的48小时发现病毒携带者,进而更早的实施隔离,以减缓病毒传播速度。

系统已于6月中旬部署到军事部门,旨在与所有可穿戴设备协同工作,目前已被用于海军和国防部长办公室约700名工作人员的新冠病毒检测,并将逐步用于约5000名来自不用军种、司令部和军事学院的用户。

项目共耗资约700万美元,资金来源于美国防高级研究计划局和《新冠病毒援助、救济与经济安全法案》,德克萨斯州农工大学工程试验站也参与了这项研究。

What does military AI need to detect COVID? Data from wearables

WASHINGTON — The U.S. Defense Department is expanding a research study that detects potential COVID-19 infections through wearable devices to “several thousand participants,” officials announced Tuesday.

The project, from the Defense Innovation Unit, Defense Threat Reduction Agency (DTRA) and Philips Healthcare uses artificial intelligence to analyze biometric data to detect potential COVID-19 infections in asymptomatic and pre-symptomatic carriers and slow the spread of the virus.

The early-warning system prototype is part of the DoD’s Rapid Analysis of Threat Exposure (RATE) technology and has been used for COVID-19 detection for a dozen different cohorts of military and non-military personnel in clinic trials, according to a press release. The system can detect early, “sub-clinical” symptoms up to 48 hours before overt symptoms appear, Lt. Col. Jeff “Mach” Schneider, a DIU program manager told C4ISRNET.

“The immediate priority was to work with cohorts that were either in some kind of front line capacity,” such as health care workers, “or that were more severely impacted from a readiness standpoint,” he said.

The technology is in use by about 700 workers in the U.S. Navy and Office of the Secretary of Defense, Schneider said. He added that the study will expand to about 5,000 new users across different services, commands and the United States Military Academy.

“As we continue to collect data and refine the algorithm, priority will continue to be provided to those first responders and those that have had to adopt new operational tempo to support their duty obligations,” Schneider said.

The RATE program uses machine learning and artificial intelligence to analyze a person’s biometric data and detect small changes in a person before they experience any symptoms. The system can then alert a user they may be infected so they can quarantine or change their behavior to prevent further spreading the disease.

“RATE would allow us to non-invasively monitor a service member’s health and provide early alerts to potential infection that will help us to ensure troop readiness, better support their health and protect against the threat of further spread of the disease,” said Edward Argenta, science and technology manager at DTRA, said in a statement. “Unlike other more narrow approaches, this solution is designed to recognize a wide variety of infections and can help identify future novel threats.”

The RATE program’s COVID-19 detection application deployed to military units in mid-June, while Dr. Joseph Frassica, Philips’ head of research in the Americas, added that the algorithm is being further refined to better project COVID-19 infections. The RATE-COVID app is designed to work with all wearables and the team is looking to deploy to bring-your-own devices “in the future,” the release said.

RATE originally started years ago to slow the spread of general infections such as the flu, Frassica told C4ISRNET in an interview. In March, the partnership pivoted to the coronavirus pandemic, he said.

“With Covid it became even more critical to find those people who are pre-symptomatic to get them out of the population before they have a high enough viral load to start to spread the disease,” Frassica said.

The RATE program uses large-scale machine learning to analyze data across 165 biomarkers from a data set owned by Philips that contains 41,000 cases of hospital-acquired infections. Biomarker data is then process and analyzed in the cloud, generates an hourly RATE score that service members can then access through a secure website. it looks at several biometric markers such as temperature and blood pressure. The press release added that the risk score also works for “multiple general types of infection,” with Philips scientists also working to generate a tool that can detect the “next new unknown infectious agent.”

“By combining commercial technology, a rich data source and simple-to-use wearables, we are effectively providing a check-engine light on the military service member and getting that alert before they’re broken down with a disease. In military speak, we’re targeting left-of-cough awareness,” said Christian Whitchurch, DIU human systems portfolio director, in a statement.

Schneider said that that project cost about $7 million in total, including funding from the Defense Advanced Research Projects Agency and Coronavirus Aid, Relief, and Economic Security Act. Texas A&M’s Engineering Experiment Station also worked on the project.


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