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Tests have shown robots can diagnose heart problems in as little as four seconds, as a review of artificial intelligence (Al) finds machines are now as good at spotting illness as doctors.

Analyzing a patient's heart function on a cardiac MRI (心脏磁共振成像)scan currently takes doctors around 13 minutes. But a new trial by University College London (UCL) showed an Al program could read the scans in less time with equal accuracy. There are approximately 150,000 such scans performed in the UK each year, and researchers estimate that fully using Al to read them could save 54 clinician-days (临床天数)at each cardiac centre per year. So it can make up for the shortage of doctors.

It is hoped that Al where computer systems are able to learn from data to identify new patterns with minimal human intervention will transform medicine by helping doctors spot dis- eases such as heart disease and cancer faster and earlier. However, most scans are still read by specially trained doctors.

Dr Charlotte Manisty, who led the UCL research, said, "Cardiovascular MRI offers in- comparable image quality for assessing heart structure and function. However, current manual  analysis remains basic and outdated. Automated machine techniques offer the potential to change this and completely improve efficiency and accuracy, and we look forward to further research that could confirm the superiority to human analysis."

She added, “Our dataset of patients with a range of heart disease who received scans enabled us to demonstrate that the greatest sources of measurement errors arise from human factors. This indicates that automated techniques are at least as good as humans, with the potential soon to be  'super-human'—transforming clinical and research measurement precision."

Professor Alastair Denniston said, "Within those handful of high-quality studies, we found that by deep learning Al could indeed detect disease ranging from cancer to eye disease as accurately as health professionals. But it's important to note that it did not absolutely exceed human professional diagnosis. ”

1.Which of the following can best describe this Al program?

A.Time-consuming. B.Environmentally friendly.

C.Extremely unpractical. D.Labor-saving.

2.What is Charlotte Manisty's expectation of automated machine techniques?

A.To treat eye disease faster and earlier.

B.To analyze heart disease efficiently and accurately.

C.To combine manual with automated analysis.

D.To confirm heart structure and function.

3.What did Alastair Denniston say about Al?

A.It would be super-human soon.

B.It couldn't completely replace expert doctors.

C.It would correct professionals' measurement errors.

D.It couldn't detect cancer as accurately as health professionals.

4.What is the main idea of the text?

A.Al has many shortcomings in practice.

B.Al totally shows its superiority to human analysis.

C.Al can reduce medical errors arising from human factors.

D.Al can diagnose heart disease as well as doctors in less time.

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