研究發(fā)現(xiàn)，谷歌人工智能比醫(yī)生更能發(fā)現(xiàn)乳腺癌

研究發(fā)現(xiàn)，谷歌人工智能比醫(yī)生更能發(fā)現(xiàn)乳腺癌

Google’s artificial intelligence detected breast cancer better than doctors, a study published Wednesday found.

周三發(fā)表的一項研究發(fā)現(xiàn)，谷歌的人工智能檢測乳腺癌的效果好于醫(yī)生。

The Google AI program that examined mammogram images from thousands of women in the US and the United Kingdom spotted cancer more accurately than six expert radiologists who reviewed 500 random cases, according to the research — which was funded by the tech giant.

這項由這家科技巨頭資助的研究顯示，谷歌人工智能項目檢查了來自美國和英國的數(shù)千名女性的乳房x光照片，比6名隨機檢查了500個病例的放射科專家更準(zhǔn)確地發(fā)現(xiàn)了癌癥。

The software’s review of nearly 29,000 mammogram scans reduced the number of false negatives — tests that are wrongly deemed normal even though cancer is present — by 9.4 percent in the US and 2.7 percent in the UK, according to the study, published in the journal Nature.

根據(jù)發(fā)表在《自然》(Nature)雜志上的這項研究，該軟件對近2.9萬例乳房x光片掃描結(jié)果的分析，減少了美國9.4%和英國2.7%的假陰性(盡管存在癌癥，但仍被錯誤地視為正常的檢查)。

And the number of false positives — tests that are wrongly said to show signs of cancer — fell by 5.7 percent in the US and 1.2 percent in the UK, the research found. The team behind the study included researchers from Google Health, Northwestern Medicine and Imperial College London.

研究發(fā)現(xiàn)，在美國，誤報(被錯誤地說成顯示癌癥跡象的檢測)的數(shù)量下降了5.7%，在英國下降了1.2%。這項研究背后的團(tuán)隊包括來自谷歌健康、西北醫(yī)學(xué)和倫敦帝國理工學(xué)院的研究人員。

Google Health said the study “sets the stage for future applications where the model could potentially support radiologists performing breast cancer screenings” — though more research and regulatory approval are needed to show how the technology could boost patient care.

谷歌Health表示，這項研究“為未來的應(yīng)用奠定了基礎(chǔ)，該模型可能會支持放射科醫(yī)生進(jìn)行乳腺癌篩查”——盡管還需要更多的研究和監(jiān)管部門的批準(zhǔn)，才能證明這項技術(shù)如何能夠促進(jìn)患者護(hù)理。

The research suggests that AI could help improve the accuracy of mammograms, the most common method of screening for the second-leading cause of cancer deaths among women.

這項研究表明，人工智能可能有助于提高乳房x光檢查的準(zhǔn)確性，這是篩查導(dǎo)致女性癌癥死亡的第二大原因的最常見方法。

Mammograms miss roughly one in five breast cancers, according to the American Cancer Society, and inaccurate test results can cause problems for patients. A false positive can lead to anxiety or pricey additional testing, while false negatives can cause women to think they’re cancer-free when they’re not.

根據(jù)美國癌癥協(xié)會(American Cancer Society)的數(shù)據(jù)，乳房x光檢查遺漏了大約五分之一的乳腺癌，不準(zhǔn)確的檢測結(jié)果可能會給患者帶來麻煩。假陽性可能會導(dǎo)致焦慮或昂貴的額外檢查，而假陰性可能會讓女性以為自己沒有癌癥，其實不然。

Researchers trained Google’s AI program with mammograms from more than 76,000 women in the UK and more than 15,000 in the US, according to Google Health. Google said the software outperformed doctors despite receiving less information than human experts, who also had access to previous mammograms and patient histories.

根據(jù)谷歌Health的數(shù)據(jù)，研究人員對谷歌的人工智能程序進(jìn)行了培訓(xùn)，使用了英國逾7.6萬名女性和美國逾1.5萬名女性的乳房x線照片。谷歌表示，盡管獲得的信息比人類專家少，但該軟件的表現(xiàn)優(yōu)于醫(yī)生。

The study is Google’s latest bid to use its technologies for health purposes — even though some of those efforts have sparked privacy worries.

這項研究是谷歌為了健康目的使用其技術(shù)的最新嘗試——盡管其中一些努力已經(jīng)引發(fā)了對隱私的擔(dān)憂。