Nine years ago, one of the most prominent artificial intelligence scientists in the world detailed endangered professional species.
“People must Stop training radiologists now,Jeffrey Hinton said, adding that it was “completely clear” that within five years, AI surpasses humans in this field.
Today, radiologists – doctors in medical photography who look inside the body to diagnose and treat the disease – are still high demand. A recent study From the American College of Radiology, I expected a steady increasing force until 2055.
Dr. HentonFrom granting Nobel Prize in Physics Last year for pioneering research in artificial intelligence, it was widely true that technology would have a major impact – not only as a working killer.
This is true for Mayo Clinic radiologists, one of the leading medical systems in the country, whose main campus is in Rochester, Minnesota, there, in recent years, have begun to use artificial intelligence for the photo newspaper, automated routine tasks, identify medical distortions and predict the disease. Artificial intelligence can also act as a “second group of eyes”.
“Will it replace radiologists? We didn’t think about it,” said Dr. Mattrom, a Mayo Clinic Clinic chair. “We have known how difficult it is and all that is involved.”
Computer scientists, labor experts and policy makers have long discussed how you will eventually play artificial intelligence in the workforce. Will it be an intelligent assistant, or enhance human performance, or a robotic alternative, which replaces millions of workers?
The discussion has intensified as it seems to be the leading technology behind Chatbots Improving faster than expected. Leaders in Openai, Anthropor and other companies in Silicon Valley expect that artificial intelligence will outperform humans in most cognitive tasks within a few years. But many researchers expect a more gradual shift with the seismic inventions of the past, such as electricity or the Internet.
The expected extinction of radiologists provides a case study. To date, artificial intelligence proves to be a powerful medical tool to increase efficiency and enlarge human capabilities, instead of assuming anyone’s job.
When it comes to developing and spreading artificial intelligence in medicine, the rays were a major goal. Of more than 1,000 requests for artificial intelligence approved by the Food and Drug Administration for use in medicine, about three quarters of the rays. Artificial intelligence usually excels in determining and measuring a specific defect, such as the lung lesion or breast mass.
Dr. Charles E. Junior was a professor of x -ray at the University of Pennsylvania, Radiology: artificial intelligence.
Radiologists do much more than studying photos. They advise doctors and other surgeons, talk to patients, write reports and analyze medical records. After identifying a group of suspected tissues in a member, they explain what it might mean for the individual patient with a specific medical history, and the exploitation of years of experience.
David Outor, economist at the Massachusetts Institute of Technology, said that the predictions that artificial intelligence will steal jobs often “reduce the complexity of the work that people do – just as radiologists do more than reading surveying operations.”
In Mayo Clinic, artificial intelligence tools were discussed, developed and designed to suit work procedures for occupied doctors. The employees have grown 55 percent since Dr. Hinton’s expectation of death, to more than 400 radiologists.
In 2016, a warning and progress in identifying images fed by artificial intelligence, the radiology department leaders collected a set to assess the potential technology effect.
“We thought that the first thing we should do is to use this technology to make us better,” Dr. Callstrom recalls. “This was our first goal.”
They decided to invest. Today, the radiology department includes a team of artificial intelligence among 40 people, including artificial intelligence scientists, radiologists, data analysts and software engineers. They have developed a series of artificial intelligence tools, from tissue analyst to disease predictions.
This team works with specialists such as Dr. Theodora Botsky, who focuses on kidneys, bladder and genitals. She describes the role of a radiologist as “a doctor for other doctors”, where he clearly reached the results of photography, helping and advising advice.
Dr. Potretzke collaborated on the Amnesty International tool that measures kidney size. Kidney growth, when combining cysts, can predict a decrease in kidney function before appearing in blood tests. In the past, it greatly measured the kidney size by hand, with the equivalent of a ruler on the screen and guessing. Various results, and the monotonous work was consumed for time.
Dr. Botsky served as a consultant, user and a final test while working with the Ministry’s artificial intelligence team. It helped design the program, which contains color coding for different tissues, and examined the measurements.
Today, it brings an image on its computer screen and clicks on the icon, and the kidney size measure appears immediately. It saves it from 15 to 30 minutes at the time you examine the kidney image, and it is constantly accurate.
“It is a good example of something that I am very comfortable with Islam for artificial intelligence for efficiency and accuracy,” said Dr. Botsky. “It can increase, help and measure quantitatively, but I am not in a place where I give up explanatory conclusions of technology.”
Below the hall, Dr. Francis Bavor, employee x -ray specialist, explained the various methods that artificial intelligence has been applied to the field, often in the background. He said that MRI and CT lights are using Amnesty International’s algorithms to accelerate and clean photos.
AI can also determine the images automatically show the highest possibility of abnormal growth, which mainly tells the radiologist, “See here first”. Another program wipes pictures of blood clots in the heart or lungs, even when the medical focus is elsewhere.
“Amnesty International is everywhere in our workflow now,” said Dr. Bavor.
In general, Mayo Clinic uses more than 250 AI, has been developed internally and licensed by suppliers. Radiology and heart disease sections are the largest consumer.
In some cases, the new technology opens the door of visions that exceed human ability. One of the artificial intelligence model analyzes data from the heart scheme to predict patients more likely to develop atrial fibrillation, which is an imbalance in the heart speed.
A research project in the Radiology uses Amnesty International to distinguish accurate changes in shape and pancreatic texture to detect cancer two years before the traditional diagnosis. The Mayo Clinic team works with other medical institutions to increase the algorithm test on more data.
“Mathematics can see what the human eye cannot,” said Dr. John Hallamka, head of the Mayo Clinic platform, who supervises the digital initiatives of the health system.
Dr. Hallamka, Optimistic International, believes that technology will turn medicine.
“After five years from now, it will be wrong practices not to use artificial intelligence,” he said. “But humans will work together.”
Dr. Hinton agrees. Later, he is believed to have spoken widely in 2016, he said in an email. He added that he did not explain that he was talking purely about the analysis of the images, and he was wrong at the time, but not the direction.
Within a few years, most medical images will be explained by “a mixture of artificial intelligence and radiologist, and will make radiologists more efficient in addition to improving accuracy,” said Dr. Hinton.
