人工智能激发了对病人的远程监控,促进了双向医疗

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与其他行业一样,科技正改变临床医生行医的方式

. 结合对病人的远程监控,可以提供预防性护理来提高生活质量。人工智能还可以帮助临床医生和研究人员预测不良事件并确定下一次大流行.

将人工智能与患者远程监控相结合以获得更好的结果

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对病人的远程监控越来越重要,特别是对慢性病。他说,人工智能可以过滤掉不相关的数据,并呈现所有与黄斑变性有关的信息,以协助治疗

与其他行业一样,科技正改变临床医生行医的方式

从 大流行期间的远程医疗热潮 对于远程医疗,新的医疗模式每天都出现。现,随着人工智能和物联网设备被引入临床环境,患者和医生都将以一种完全不同的方式体验护理,包括采取更具预防性的医疗方法

COVID-19大流行推动了医疗保健领域的许多技术创新。根据麻省理工学院技术评论,人工智能部分负责 病毒疫苗研发速度创纪录。模型对构成病毒外部蛋白质的亚组分进行分类,预测哪些亚组分最有可能产生免疫系统的反应,并帮助研究人员设计有针对性的疫苗

但这只是开始。 结合对病人的远程监控,可以提供预防性护理来提高生活质量。人工智能还可以帮助临床医生和研究人员预测不良事件并确定下一次大流行

将人工智能与患者远程监控相结合以获得更好的结果

对病人的远程监控越来越重要,特别是对慢性病。全息图的创始人兼首席执行官本•福根(benforgan)表示,最初的目标是个人环境中复制一些成果

然而,病人和保健提供者之间的联系越来越频繁。Forgan说,对病人的远程监控正发展到一种程度,它可以增强办公室或医院的体验。这可以患者出院后或治疗慢性病后带来更好的结果。所有这些都利用了一些人工智能和机器学习

“这是一个有趣的类比,与预测性维修,”福根说,“这是现正进行的人体机器。”

据Medicomp Systems的内科医师兼首席营销官Jay Anders博士说,人工智能还可以以可行的方式向临床医生提供数据。例如,一个病人可能有多种疾病,有多个医生治疗,没有真正的方法从一个或另一个医生那里分离症状。他说,人工智能可以过滤掉不相关的数据,并呈现所有与黄斑变性有关的信息,以协助治疗

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英文译文:

As with other businesses and professions, technology is changing the way clinicians practice medicine.

From the telehealth boom during the pandemic to remote care, new health care models emerge every day. Now, with artificial intelligence and IoT devices being introduced into clinical settings, patients and physicians alike will experience care in a very different way, including taking a more preventative approach to health care.

The COVID-19 pandemic drove a lot of technology innovations in health care. According to MIT Technology Review, AI was partially responsible for the record speed in developing vaccines for the virus. Models sorted through subcomponents making up the outer proteins of the virus, predicted which subcomponents would most likely produce a response from the immune system, and helped researchers design targeted vaccines.

But that’s only the beginning.  Combined with remote monitoring of patients, preventative care can be offered to improve the quality of lives. AI can also help clinicians and researchers predict adverse events and identify the next pandemic.

Combining AI And Remote Monitoring of Patients For Better Outcomes

Remote monitoring of patients has been gaining traction, particularly for chronic conditions. Initially, the goal was to replicate some of the outcomes from in-person settings, according to Ben Forgan, founder and CEO of Hologram.

However, patients and health care providers are now connected more frequently. Remote monitoring of patients is evolving to the point where it augments the in-office or hospital experience, Forgan said. This can drive better outcomes after patient discharge, or managing chronic conditions. All of this leverages some AI and machine learning.

“It’s kind of an interesting analogy with predictive maintenance,” Forgan said, “It’s now going on for the machines of the human body.”

AI can also present data to clinicians in an actionable way, according to Dr. Jay Anders, an internist and CMO of Medicomp Systems. For example, a patient may have multiple conditions and multiple physicians treating them, with no real way to isolate symptoms from one doctor or another. AI can filter out irrelevant data and present all information relating to, say, macular degeneration, to assist with treatment, he said.

 

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