人工智能改变医疗行业的4种方式

Artificial intelligence is reshaping our world as we know it – 和 now it’s coming to 医疗保健. 这是否意味着你的下一个医生将是机器人? 人工智能会取代未来的医疗工作吗?

不太. Artificial intelligence means that machines can learn by analyzing patterns in large amounts of data. 你可能对Siri这样的语音助手很熟悉, Google Home和Alexa, which use artificial intelligence to respond to basic queries 和 comm和s, 并随着时间的推移与你的日常生活同步.

Many industries have already begun to adopt artificial intelligence 技术 简化流程并改善业务结果. 例如, Amazon transformed ecommerce by tailoring the shopping experience based on an individual’s search history 和 product preferences.

人工智能有不可思议的潜力来彻底改变 医疗保健行业 -从个人健康管理到诊断和治疗.

Here are four ways we’re already seeing AI at work in 医疗保健:

1. 可穿戴技术

AI-enabled fitness devices are making it easier for individuals to underst和 和 make decisions about their own health. 例如, wearable fitness trackers allow you to see how your daily activities match up against your health 目标. Some devices can even make recommendations based on certain daily milestones.

Wearable health 技术 encour年龄s an individual to be more proactive about maintaining a healthy lifestyle. Over time, proper health man年龄ment could reduce that person’s risk of developing a 慢性 疾病，如心脏病或糖尿病.

2. 个性化医疗

个性化医疗, 也被称为精准医疗, is the ability to tailor treatment to meet patients’ individualized needs, 而不是采用一刀切的方法.

AI makes it possible for companies identify subtle patterns 和 trends within vast amounts of patient data. 而不是依赖于一小群病人的结果, scientists can use that data to inform research 和 development for new drugs, 从而改善患者的治疗效果.

在一个 最近的调查 全球制药行业的领导者, 92 percent identified precision medicine as an opportunity 和 84 percent of respondents said that precision medicine was a part of their corporate 年龄nda.

3. 早期发现和诊断

AI is also improving medical imaging 技术 和 making it easier to detect cancer 和 other diseases in their early st年龄s.

Consider this: The American Cancer Society 报告s that more than 12 million mammograms are performed every year in the United States. Nearly one-half of women who are tested receive a false positive test result, 哪些可能导致误诊.

但是，根据a 报告 从普华永道, AI is already making the review 和 translation of mammograms 30 times faster with 99% accuracy, reducing the need for unnecessary biopsies 和 stress associated with misdiagnosis.

4. 数据管理

The electronic exchange of patient health data has increased exponentially in the last decade, including the introduction of electronic health records (EHR) 和 a proliferation of online health man年龄ment tools 和 resources. 一个缺口 安全 that patient data could have long-lasting effects on an organization’s reputation.

对于医疗保健组织, that means investing in 技术 that can keep patient data under wraps. AI-enabled 安全 systems can help organizations continually improve 检测 安全漏洞和加速响应时间.

The proliferation of electronic patient data has also contributed to a growing dem和 for specialists who can code 和 digitize patient records, 以及 卫生信息专业人员 to man年龄 the entire process 和 check for accuracy 和 安全.