The Disruption Series: How AI Applies to Pandemic Healthcare

颠覆系列:人工智能如何应用于大流行的医疗保健

2020-05-30 07:20 lionbridge

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This is the eleventh piece in the Lionbridge Disruption Series, a collection of commentary from life sciences experts on how the industry is changing as a result of the COVID-19 crisis.   While social circles joke about the flexibility of “pandemic time,” the coronavirus has had a very real impact on timelines in the life sciences world. We’ve witnessed shortened approval periods, delayed deadlines for regulation implementations, and acceleration in the adoption of new technologies. The attempts to slow, treat and prevent COVID-19 are turning predictions for the scientific and medical future into the realities of the present. Last year, the Lionbridge Life Sciences team hosted a panel discussion on the applications of artificial intelligence in pharma. AI certainly has a place in drug development and clinical trials, the latter of which is hard hit by travel restrictions and reluctant participants. And in the world of medical devices and wearables, AI has an established role. But how it can be used best during a global pandemic was only a hypothetical—until now. How can AI improve prioritization? One of the most obvious applications for AI in the healthcare space is the medical chatbot. In addition to freeing up healthcare providers by answering run-of-the-mill questions, the chatbot can save time and simplify patient lives as an “always on” feature of a medical app or service. If combined with an electronic health record, a chatbot may be able to determine if a patient is in especially high danger of COVID-19 complications and can route such patients to the top of the list. How can medical providers reduce contact and disease transmission? Besides the aforementioned triage application, which can reduce unnecessary contact between health professionals and patients, AI can also reduce contacts by performing basic activities. Tasks like taking a pulse or blood pressure can be “outsourced” to robots. (Even more complicated tasks, like surgeries, can already be robot-assisted.) AI can also spot infections before patients themselves bring them to the attention of their providers. Some hospitals are using AI-powered monitoring and scanning tools to detect and reroute patients with fevers or other potential COVID-19 symptoms. What role does AI play in public health? Local, regional and national governments are tracking the spread of cases in often futile attempts so contain outbreaks. Tracking adherence to social distancing rules and mask ordinances can help authorities spot likely pockets of new outbreaks. Even social media sites can turn to AI to halt misinformation that could sway consumers into a panic or a false sense of security.   How does Lionbridge serve AI and healthcare efforts simultaneously? In addition to having a robust Life Sciences team, Lionbridge has a business unit dedicated to AI. From data collection to labeling to training to testing, we offer a full suite of data services to support our clients’ innovation. Of course, we do this for any target region backed by a community of native speakers across dozens of dialects and geographies. Get in touch to learn more about how we can break barriers together.
这是Lionbridge颠覆系列的第十一篇,该系列是生命科学专家关于2019冠状病毒疾病危机导致的产业变化的评论。 当社交圈拿“大流行时间”具有灵活性开玩笑时,冠状病毒已经对生命科学界的时间线产生了非常现实的影响。 我们目睹了审批周期的缩短,法规实施的截止日期的推迟,以及新技术的采用速度的加快。 努力减缓疾病发作,治疗和预防2019冠状病毒正在将科学和医学未来的预测变为现实。 去年,Lionbridge生命科学团队主办了一个关于人工智能在制药领域的应用的小组讨论会。 人工智能在药物开发和临床试验中占有一席之地,后者因旅行限制和参与者消极性而受到重创。 在医疗设备和可穿戴设备领域,人工智能的角色已经确立。 但在全球大流行期间如何最好地应用它还只是一个假设——直到现在亦是如此。 人工智能如何提高优先级? 2人工智能在医疗保健领域最显著应用之一就是医疗聊天机器人。聊天机器人以其医疗应用或服务的“始终在线”功能,除了通过回答普通问题来解放医护人员之外,可以节省时间,简化患者的生活。 如果与电子健康记录相结合,聊天机器人可能能够确定患者是否处于特别高的2019冠状病毒并发症的危险中,并可以将这类患者置于列表的顶部。 医护人员如何减少接触和疾病传播? 除了前面提到的分诊应用可以减少卫生专业人员和患者之间不必要的接触外,人工智能还可以通过执行基本活动来减少接触。 像测量脉搏或血压这样的任务可以“外包”给机器人。 (甚至更复杂的任务,比如手术,已经可以由机器人辅助了。) 人工智能还可以在病人自己察觉之前发现感染症状。 一些医院正在使用人工智能驱动的监测和扫描工具来检测和重新安排发烧或其他潜在的2019冠状病毒症状的患者。 人工智能在公共卫生中扮演什么角色? 地方、地区和国家政府都在追踪病例的传播,从而遏制疫情的爆发,但这些努力往往徒劳无功。 追踪社会隔离规则和口罩条例的遵守情况,可以帮助当局发现可能出现新疫情的地区。 即使是社交媒体网站也可以利用人工智能来阻止可能会使消费者产生恐慌或虚假安全感的错误信息。 Lionbridge如何同时为人工智能和医疗服务? 除了拥有一支强大的生命科学团队,Lionbridge还有一个致力于人工智能的业务部门。 从数据采集到标注,培训到测试,我们提供全套数据服务,支持客户的创新。 当然,我们为任何一个目标地区做这件事,这些地区有一个跨越几十种方言和地理位置的母语人士社区支持。 联系我们,了解我们如何跨越重重阻拦。

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