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Artificial intelligence (AI) technology may soon be a useful tool for doctors. It may help them better understand and treat diseases like breast cancer in ways that were never before possible.

Rishi Rawat teaches AI at the University of Southern California’s (USC) Clinical Science Center in Los Angeles. He is part of a team of scientists who are researching how AI and machine learning can more easily recognize cancerous growths in the breast. Rawat provides information about cancer cells to a computer. He says this data helps the machine learn. “. . . You can put the data into computers and they will learn the patterns and the pattern recognition is important to making decisions.”

David Agus is another USC researcher. He says machines are not going to take the place of doctors. “Computers will not treat patients, but they will help make certain decisions and look for things that the human brain can’t recognize by itself. Once a confirmed cancerous growth is removed, doctors still have to treat the patient to reduce the risk of cancer returning. The form of treatment depends on the kind of cancer.”

Currently, researchers take a thin piece of tissue, put it on a small piece of glass and add color to better see the cells. That process could take days or even longer. Scientists say artificial intelligence can do something better than just count cells. Through machine learning, it can recognize complex patterns, or structures, and learn how the cells are organized.

The hope is that machines will soon be able to make a quick identification of cancer that is free of human mistakes. “All of a sudden, we have the computing power to really do it in real time. . . We couldn’t have done this, we didn’t have the computing power to do this several years ago, but now it’s all changed.” Agus adds that the process could be done for almost no cost in the developing world. He says that having a large amount of information about patients is important for a machine to effectively do its job in medicine.

The University of Southern California researchers are now only studying breast cancer. But doctors predict artificial intelligence will one day make a difference in all forms of cancer.

1.In Rishi Rawat’s research, ________.

A. the data put into computers contributes to cancer recognition

B. many cancers are being studied at the moment

C. machine learning has replaced doctors’ work

D. the focus is on the cure for cancer

2.David Agus’s words in Paragraph 3 are used to ________.

A. provide some advice for doctors

B. introduce the development of cancer

C. appeal to scientists to research into cancer

D. explain the function of AI in treating cancer

3.What can we infer from the text ?

A. AI can make decisions for doctors.

B. Developing countries might be lack of funds.

C. AI will hopefully make an accurate identification of cancer.

D. Computing power has long helped with the identification of cancer.

4.What is the author’s attitude towards AI used in treating cancer?

A. Positive. B. Indifferent.

C. Doubtful. D. Negative.

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