VOA慢速英語：人工智能可以幫助醫(yī)生更好地做出診斷

Can Artificial Intelligence Make Doctors Better?

人工智能可以幫助醫(yī)生更好地做出診斷

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.

人工智能技術(shù)可能很快會成為醫(yī)生們的有用工具。它可能有助于醫(yī)生以前所未有的方式更好地了解和治療乳腺癌等疾病。

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.

Rishi Rawat在南加州大學(xué)臨床科學(xué)中心教授人工智能技術(shù)，他也是研究人工智能和機(jī)器學(xué)習(xí)如何更容易診斷乳房癌變的科學(xué)團(tuán)隊(duì)的一員。

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

Rawat向計(jì)算機(jī)輸入癌細(xì)胞相關(guān)信息，他說這些數(shù)據(jù)可以幫助這臺機(jī)器學(xué)習(xí)。

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

“你可以輸入數(shù)據(jù)，它們將會學(xué)習(xí)這些影像，以及對決策非常重要的影像識別。”

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

David Agus是南加州大學(xué)另一位研究員。他認(rèn)為“機(jī)器不會取代醫(yī)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."

“計(jì)算機(jī)不會治療病人，但是它們能幫助做出某些決策，并從影像中找出單憑大腦無法識別出的那些東西。”

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.

一旦確診的惡性腫瘤被切除，醫(yī)生們?nèi)匀槐仨氈委熁颊咭越档桶┌Y復(fù)發(fā)的風(fēng)險。治療形式取決于癌癥種類。目前，研究人員會切取薄薄的一塊組織，放在一小塊玻璃上，然后給該組織切片染色，以便更好地觀察細(xì)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.

這一過程可能需要數(shù)天，甚至更長時間?？茖W(xué)家們表示，人工智能能做的遠(yuǎn)遠(yuǎn)不止于統(tǒng)計(jì)細(xì)胞。通過機(jī)器學(xué)習(xí)，它可以識別復(fù)雜的影像或是結(jié)構(gòu)，并了解細(xì)胞的組織形式。

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

希望機(jī)器很快能夠做出擺脫人為失誤的癌癥診斷。

"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."

“我們突然之間就有了能夠做出實(shí)時診斷的計(jì)算能力。我們本來沒法實(shí)現(xiàn)這點(diǎn)，因?yàn)閹啄昵拔覀儾痪邆溥@種計(jì)算能力，但是現(xiàn)在一切都變了。”

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.

Agus補(bǔ)充表示，這個過程在發(fā)展中國家?guī)缀蹩梢粤愠杀就瓿?。他說，擁有大量患者相關(guān)信息對于機(jī)器有效地完成其醫(yī)學(xué)工作來說非常重要。

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.

南加州大學(xué)的研究人員目前只研究乳腺癌。但是醫(yī)生們預(yù)測，有朝一日人工智能會改變各種癌癥。

I'm Jonathan Evans.

喬納森·埃文斯報道。