A computer programme can identify breast cancer from routine scans with greater accuracy than human experts, researchers said in what they hoped could prove a breakthrough in the fight against the global killer.

　　研究人員稱，一種電腦程序可以通過常規(guī)掃描準(zhǔn)確識(shí)別乳腺癌，而且它的準(zhǔn)確率比人類專家的更高。他們希望該電腦程序可以在與乳腺癌這一全球殺手的斗爭中取得突 破。

　　Breast cancer is one of the most common cancers in women, with more than 2 million new diagnoses last year alone.

　　乳腺癌是女性最常罹患的癌癥之一，僅去年一年就有200多萬名新確診的病例。

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　　Regular screening is vital in detecting the earliest signs of the disease in patients who show no obvious symptoms.

　　在患者沒有明顯癥狀的時(shí)候，定期篩查對(duì)于發(fā)現(xiàn)疾病的早期癥狀至關(guān)重要。

　　In Britain, women over 50 are advised to get a mammogram every three years, the results of which are analysed by two independent experts.

　　在英國，50歲以上的婦女被建議每三年做一次乳房X光檢查，而其檢查結(jié)果由兩位單獨(dú)的專家進(jìn)行分析。

　　But interpreting the scans leaves room for error, and a small percentage of all mammograms either return a false positive - misdiagnosing a healthy patient as having cancer - or false negative - missing the disease as it spreads.

　　但對(duì)掃描結(jié)果的解讀也有可能出錯(cuò)，而且在所有乳房X光檢查結(jié)果中，有一小部分要么是假陽性(將健康病人誤診為患有癌癥)，要么是假陰性(在疾病的傳播過程中，沒有診斷出疾病)。

　　Now researchers at Google Health have trained an artificial intelligence model to detect cancer in breast scans from thousands of women in Britain and the United States.

　　如今谷歌健康中心的研究人員已訓(xùn)練出一個(gè)人工智能模型，它可以通過乳房掃描來檢測英國和美國數(shù)千名女性是否罹患癌癥。

　　The images had already been reviewed by doctors in real life but unlike in a clinical setting, the machine had no patient history to inform its diagnoses.

　　實(shí)際上，醫(yī)生們已經(jīng)檢查過這些圖像了，不過與臨床環(huán)境不同的是，這臺(tái)機(jī)器不知道病人的病史，也沒有據(jù)此來進(jìn)行診斷。

　　The team found that their AI model could predict breast cancer from the scans with a similar accuracy level to expert radiographers.

　　該研究團(tuán)隊(duì)發(fā)現(xiàn)，他們的人工智能模型可以通過掃描檢查來預(yù)測乳腺癌，而且其準(zhǔn)確度與放射科專家相當(dāng)。

　　Further, the AI showed a reduction in the proportion of cases where cancer was incorrectly identified - 5.7 percent in the US and 1.2 percent in Britain, respectively.

　　此外，該人工智能模型還顯示，癌癥被錯(cuò)誤識(shí)別的比例有所下降，其中美國降低了5.7%，英國降低了1.2%。

　　It also reduced the percentage of missed diagnoses by 9.4 percent among US patients and by 2.7 percent in Britain.

　　美國和英國的漏診率也分別降低了9.4%和2.7%。

　　"The earlier you identify a breast cancer the better it is for the patient," Dominic King, UK lead at Google Health, told AFP.

　　“越早發(fā)現(xiàn)乳腺癌，對(duì)病人越好，”谷歌健康中心英國分部負(fù)責(zé)人多米尼克•金告訴法新社。

　　"We think about this technology in a way that supports and enables an expert, or a patient ultimately, to get the best outcome from whatever diagnostics they've had."

　　“我們認(rèn)為這項(xiàng)技術(shù)能夠支持并最終使專家或患者從他們得到的診斷中獲得最 佳結(jié)果。”

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