VOA慢速 | 未来人工智能会不会取代医生?

时间:2019-08-18 08:00:01 来源:科技时间 当前位置:阿琳谈娱乐 > 十字绣 > 手机阅读

Can Artificial Intelligence Make Doctors Better?

人工智能可以帮助医生更好地做出诊断

Artificial intelligence (AI) technology may soon be a useful tool for doctors. It may help them better understand and treat diseases like breast cancer in ways that were never before possible.

人工智能技术可能很快会成为对医生们有用的工具。它或许能帮助医生以前所未有的方式更好地了解和治疗乳腺癌等疾病。

Rishi Rawat teaches AI at the University of Southern California's (USC) Clinical Science Center in Los Angeles. He is part of a team of scientists who are researching how AI and machine learning can more easily recognize cancerous growths in the breast.

拉瓦特(Rishi Rawat)在南加州大学临床科学中心教授人工智能技术(AI),他还是研究人工智能和机器学习如何更容易诊断乳房癌变的科学团队的一员。

Rawat provides information about cancer cells to a computer. He says this data helps the machine learn.

拉瓦特向计算机输入癌细胞的相关信息,他说,这些数据有助于这台机器学习。

"...You can put the data into them and they will learn the patterns and the pattern recognition that's important to making decisions."

“你可以将数据输入计算机,它们会学习这些图像,以及对决策判断非常重要的图像识别。”

David Agus is another USC researcher. He believes that "machines are not going to take the place of doctors."

大卫·阿古斯(David Agus)是南加州大学另一位研究员。他认为,“机器无法取代医生。”

"Computers will not treat patients, but they will help make certain decisions and look for things that the human brain can't recognize these patterns by itself."

“计算机不会治疗病患,但是它们有助于做出某些决策,并从图像中寻找人类大脑无法识别出的某些特征。”

Once a confirmed cancerous growth is removed, doctors still have to treat the patient to reduce the risk of cancer returning. The form of treatment depends on the kind of cancer. Currently, researchers take a thin piece of tissue, put it on a small piece of glass and add color to better see the cells.

一旦确诊的恶性肿瘤被切除,患者还必须接受能降低癌症复发风险的治疗。治疗方案取决于癌症类型。目前,研究人员会切取一块薄片组织,放在一块玻璃上,然后将其染色,以便更好地观察细胞。

That process could take days or even longer. Scientists say artificial intelligence can do something better than just count cells. Through machine learning, it can recognize complex patterns, or structures, and learn how the cells are organized.

这一过程可能需要数天,甚至更长时间。科学家们表示,人工智能的作用不仅仅只限于统计细胞。通过机器学习,它可以识别复杂的图像或结构,并了解细胞是如何组成的。

The hope is that machines will soon be able to make a quick identification of cancer that is free of human mistakes.

人们希望,机器很快能够识别出人为因素导致的癌症误诊。

"All of a sudden, we have the computing power to really do it in real time...We couldn't have done this, we didn't have the computing power to do this several years ago, but now it's all changed."

“我们突然间具备了能够做出实时诊断的计算能力。我们本来难以实现这一成就,因为几年前我们不具备这种计算能力,而现在一切都变了。”

Agus adds that the process could be done "for almost no cost in the developing world." He says that having a large amount of information about patients is important for a machine to effectively do its job in medicine.

阿古斯补充说,这个过程“在发展中国家几乎不需要任何成本”。他说,拥有大量患者的信息对于机器有效地完成其医学工作来说非常重要。

The University of Southern California researchers are now only studying breast cancer. But doctors predict artificial intelligence will one day make a difference in all forms of cancer.

南加州大学的研究人员目前只研究乳腺癌。但医生们预测,人工智能终有一日能对各种类型的癌症产生影响。

I'm Jonathan Evans.

乔纳森·埃文斯为您播报。

上一篇收视率大数据评价系统试运行,收视率造假难了

下一篇2019年人工智能将加速落地 基础研究亟待加强

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