經濟學人|人工智能如何改變未來的醫療保健(二)


經濟學人|人工智能如何改變未來的醫療保健(二)



The doctor-patient relationship is a founding principle of healthcare and medicine.

醫患關係是醫療保健和醫學的根本


The first step is to eliminate(vt. 消除;排除) keyboards and computer screens and clinical(adj. 臨床的) encounters(n. 遭遇戰;相見).

首要工作就是拿掉鍵盤和電腦屏幕 迴歸到臨床


1. 用人工智能代替醫生的臨床書面工作


Some doctors in the West can spend up to twice as many hours on medical paperwork than with their patients.

在西方 有些醫生在醫療文書上花費的時間是他們花費在患者身上的兩倍


In the years ahead(發展;領先), we should be able to eliminate.

隨著時代的發展 我們應該能夠避免


the data clerk(職員) functions of clinicians.

將臨床醫生視為數據員


These are mutually(adv. 互相地)hated as much by patients as by doctors and clinicians.

不僅患者討厭這樣的工作醫生和臨床醫師也不喜歡


AI tools such as speech recognition technology that are now commonplace(司空見慣的事)in homes

如今 在家裡看到人工智能工具比如 語音識別技術 早已不足為奇了


could be used in clinical settings for capturing data and notes,allowing doctors to concentrate on people.

臨床環境中也可以用它來獲取數據和信息讓醫生將注意力放在病人身上


2. 使用機器來減少錯誤診斷


We have a problem with accuracy and efficiency.

我們在準確性和效率方面還存在問題


Trained on a huge resource(n. 資源,財力)of medical data,the power of AI learning can read some images more accurately than humans.

在大量醫療數據的訓練下 與人類相比 人工智能強大的學習能力能夠更加準確地辨識影像


Whether it’s a pattern like a scan or a slide(幻燈片),or a prediction, AI can really rev up(加快轉速)the accuracy.

無論是掃描影像 還是幻燈片 或是進行預測人工智都能提高準確率


And that is important for a better diagnosis(/daɪəɡˈnəʊsɪs/診斷),better treatments, better outcomes(效果), lower cost.

這點非常重要 它可以帶來更加準確的診斷更好的治療 更好的結果和更低的費用


Powerful machines can interpret(解釋,說明)scans 150 times faster than radiologists(放射科醫生),and can work 24 hours a day.

用強大的機器來解讀影像要比醫院放射科的醫生快150倍還可以24小時無間斷工作


AI can even suggest a diagnosis.Many conditions could be AI-diagnosed.

人工智能甚至可以提供診斷許多病情可以由人工智能診斷


And so the time that a doctor comes into play is very specific to important diagnoses.

這樣就能為醫生節省時間去針對性地解決疑難雜症


---The Economist


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