Name: 【科技】人工智慧將會取代醫院？(Is this the future of health? | The Economist)
Uploaded: 2019-04-12T21:01:10.000Z
Duration: 5 min 38 s

The quest for artificial intelligence began more than 80 years ago.

早在八十年前，人們就已經開始探索人工智慧。

程度副詞

The idea was that computer technology would one day be powerful enough to carry out tasks better and more efficiently than humans.

人們認為，電腦科技有一天將會足以承擔人類任務，而且做得更好、更有效率。

情態副詞

在今日，人工智慧已經成熟了。

It's already having an impact on many parts of human life, from self-driving cars to finding soul mates.

它在許多方面都影響著人類生活，從車輛自動駕駛到尋找靈魂伴侶。

But perhaps its greatest impact will be on medicine and the way we monitor human health.

但或許它最大的影響會是在醫療以及我們掌控健康的方式。

Dr. Eric Topol is one of the most influential doctors in digital medicine.

埃里克．托波爾是虛擬醫療界其中一位最具影響力的醫生。

The pioneering American cardiologist has helped develop drugs that have saved countless lives.

這位走在尖端的美國心臟科醫師，幫助開發了拯救無數生命的藥物。

He's now at the forefront of the AI revolution in health care.

他現在是醫療保健人工智慧的革命最前線。

These are his prescriptions for transforming the future of human health.

以下是他改變未來人類醫療的方針。

The overarching goal is to bring back the humanity.

If we do this right we can rescue the problems of healthcare.

若是我們做對了，將能夠解決醫療保健的問題。

How AI will transform the future of health care.

人工智慧會如何改變醫療的未來？

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

The first step is to eliminate keyboards and computer screens and clinical encounters.

第一步，是拿掉鍵盤、電腦螢幕，和臨床接觸。

1. Use AI for doctors' clinical paperwork.

1. 利用人工智慧完成臨床文書工作。

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

在西方，有些醫生花在醫療文書的時間，是花在病患上的兩倍。

In the years ahead we should be able to eliminate the data clerk functions of clinicians.

在接下來幾年，我們應該免除臨床醫師做數據資料的工作。

These are mutually hated as much by patients as by doctors and clinicians.

不僅是病患，醫生和臨床醫師都很討厭這些流程。

AI tools such as speech recognition technology, but in our common place in homes, could be used in clinical settings for capturing data and notes, allowing doctors to concentrate on people.

人工智慧工具，像是我們生活中的聲音辨識技術，就能夠被用在臨床醫療上，用來記錄數據和資料，讓醫生能夠專注在病人身上。

We have a problem with accuracy and efficiency.

我們在準確性和效率方面都做得不夠。

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

經過大量醫學數據的訓練後，人工智慧將能夠比人類更精確辨認影像。

Whether it's a pattern like a scan, or a slide, or prediction.

不管是掃描、幻燈片或是要預測。

AI can really rev up the accuracy and that is important for a better diagnosis, better treatments, better outcomes, lower-cost.

人工智慧真的能夠增進準確性，這是很重要的，才能夠有更好的診斷、更好的治療方針、更好的結果、更低的支出。

Powerful Machines can interpret scans 150 times faster than radiologists and can work 24 hours a day.

強大的機器辨識掃描的速度比放射科醫生快上 150 倍，而且能夠全天候工作。

Many conditions could be AI-diagnosed and so the time that a doctor comes into play is very specific to important diagnosis.

許多症狀都能由人工智慧診斷，所以只有重要的診斷才會特別需要醫生介入。

3. 人工智慧獲取數據、改善成果。

Data is critical for improving our understanding of disease and illness.

數據至關重要，它改進我們對於疾病的認知。

The more we understand, the better the chances of preventing diagnosing and curing.

我們知道得越多，診斷和治療的機率就愈大。

But currently, only about 5% of medical data is used effectively.

但目前為止，只有大約 5% 的醫學數據被有效利用。

We had a problem with generating so much data, terabytes of data for each person, but we didn't have a way to analyze.

我們有太多的數據，一位病患就有幾兆位元的數據，卻沒有好好分析它們的方式。

We didn't have a way to extract the juice, the distillate of this.

我們過去沒辦法取其精華，找出最關鍵的部分。

Now we do, and that's what artificial intelligence is really about.

但現在我們可以了，這就是人工智慧能做的。

Harness to wireless devices, AI could oversee every facet of people's health data from family history to food intake, to exercise.

裝到無線裝置上，人工智慧能夠全方位掌控人體健康數據，包含家族病史、攝入的食物、運動行為。

People will have the opportunity to have this real integrated view of themselves to help prevent illness, to help guide them for better management of conditions.

人們將能夠掌控自己的所有面向，幫助自己預防疾病，學會更好地掌握病情。

Over time, we'll see this virtual coach for promoting health.

隨著時間演進，這樣的「虛擬教練」將能夠促進健康。

Constant AI monitoring could transform the most prolific diseases that demand the most care, such as diabetes.

人工智慧的持續監控能夠改變需要長期看護的增生型疾病，如糖尿病。

This would empower people to take charge of their own health.

這將使人們能夠管理自己的健康。

4. Treat patient at home, not in hospital.

4. 在病患家中治療，而非醫院。

Another way that AI will kick in over time is to get rid of hospital rooms.

人工智慧能起到作用的另一個方面是，擺脫醫院病房。

We can monitor patients in the comfort of their own home because they can have the sensors that would provide the same type of monitoring as if someone was in the intensive care unit.

病患舒服地待在家，我們也能夠監控他們的病況，因為他們會有類似於加護病房用的監測器。

Caring for people outside of medical settings would not only prevent hospital-acquired disease, it could also save money.

在醫院外看護病患不僅能夠避免在醫院感染疾病，也能夠省下開支。

All these things favor this shift of reliance on a patient's bedroom rather than the hospital room.

把焦點轉在病患的臥房，而非醫院病房，這些都能夠實現。

We're talking about a whole lot of people that don't need to be employed in the hospital setting.

我們指的是，醫院將不再需要僱用那麼多的人。

That is a great way to reduce the burden in the future.

這在未來將能夠卸除許多負擔。

In the United States, a hospital costs five thousand dollars a night, so you could get a lot of data plans that go for years for that cost.

在美國，醫院一晚會支出上千美金，省下這筆錢就能夠拿來做很多年的數據研究。

If the clinical community stands up for patients and say all the power, efficiency, productivity, workflow from AI is going to be used to give the gift of time to doctors and nurses and patients, that's where we flip this thing and achieve a rescue mission for health.

若是醫療人員為了病患挺身而出，而假使人工智慧能夠貢獻一份力量，提升效率和產值，省下來的時間將造福於醫生、護理師和病患，這樣我們就能夠翻轉現存的醫療現象，解決問題。

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【科技】人工智慧將會取代醫院？(Is this the future of health? | The Economist)

eliminate

pattern

diabetes

improve