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As artificial intelligence (AI) systems ...

    As artificial intelligence (AI) systems become more subtle, we can expect them to be used more often in the world of human medicine and healthcare. AI is designed to imitate the human brain in decision making and learning, so with the computing power to learn tasks in days or even hours, it is possible to create medical AIs that rapidly outperform doctors in certain tasks.

Most of the AI systems working in medicine employ smart algorithms ( ), with the machine and  deep learning techniques, and are supported by speech recognition and computer or machine vision to make their decisions. It will be some time before researchers can develop artificial general intelligence systems capable of abstracting knowledge and developing their own experiences to share with other AIs. But firms like Microsoft, Google, Apple,

IBM and Facebook are preparing themselves up to deliver the most advanced AI personalized healthcare possible for patients around the world.

Data plays a hugely important role in helping AI systems learn about human medicine. AI systems are trained on large data sets gathered from real-life cases. Providing amounts of detailed patient information is a decisive factor for their success.

One of the most important areas for influencing global health is in the field of epidemiology ( 流行病学).

Predicting disease outbreaks can save millions of lives by having resources ready should the worst happen. Another field where medical AIs are making rapid advances is in diagnostics. Doctors base a lot of decisions on information from X-ray, CT and MRI images. Speeding up diagnoses from patient scans can rapidly improve patient care and outcomes.

Cardiologist (心脏病医生) Rima Arnaout developed an AI that beat human experts at correctly interpreting echocardiograms by 92 percent to 79 percent. She said that despite the result there is no hope of AI replacing human doctors any time soon. "As cardiologists, we read the images and then go see the patient," she said. "So we’re both reading images and practicing medicine. I don't think that the second piece will be taken over so quickly."

1.The purpose of this text is to introduce ________.

A.the speech recognition of AI systems

B.the computer vision of AI systems

C.the rise of AI systems in medicine

D.the development of AI in tech firms

2.What is the key to making medical AI systems successful?

A.Arriving at decisions.

B.Providing patient data.

C.Predicting disease outbreaks.

D.Speeding up diagnoses.

3.What can we infer from Rima's words?

A.She prefers practicing medicine to reading images.

B.AIs do better than cardiologists in seeing patients.

C.She is confident in the irreplaceable role of human doctors.

D.AIs are unable to read images with current technology.

 

1.C 2.B 3.C 【解析】 这是一篇说明文。文章主要讲述的是人工智能AI在医学领域的运用和发展。 1. 推理判断题。根据文章第一段it is possible to create medical AIs that rapidly outperform doctors in certain tasks.(有可能创造出在某些任务上迅速超过医生的医疗人工智能。)以及前文引入人工智能话题和后文一直讨论人工智能在医学领域的运用。因此可推知,这篇文章的写作目的就是人工智能在医学领域的崛起。故选C。 2. 细节理解题。根据文章第四段Data plays a hugely important role in helping AI systems learn about human medicine.和Providing amounts of detailed patient information is a decisive factor for their success.可知,数据在帮助人工智能系统了解人类医学方面发挥极其重要的作用,并且提供详细的病人信息是他们成功的决定性因素。故选B。 3. 推理判断题。根据文章最后一段第二行She said that despite the result there is no hope of AI replacing human doctors any time soon.(她说,尽管结果如此,人工智能在短期内取代人类医生的希望并不大。)可推知,Rima对于人类医学的不可代替还是很有信心的。故选C。
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