The new AI understands when it can diagnose itself, and when it is necessary to turn to a live specialist

The developers noted that AI can already detect lung, breast, brain, skin and cervical cancer. But

specialists encountered another problem - inIn complex cases, the model is more likely to make mistakes than the doctor. To solve this problem, researchers from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT) have developed a machine learning system that can evaluate each case and then make a decision on its own or ask an expert.

In this case, the system can adapt to howa specialist is often available, and to evaluate the doctor's experience in the desired field. For example, in a busy hospital, the system can only ask a person for help when needed.

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The researchers explained that medicalmodels have many questions that do not allow them to fully integrate into the process and use in a real hospital. That is why they decided to add one more link for decision making. They hope that another model will help specialists place greater confidence in machine learning and use AI more boldly in their practice.

Next, the researchers will test a system thatworks with several doctors at the same time. For example, AI can collaborate with different radiologists who have more experience working with different patient populations.

The team also believes that their system can beuse to moderate content, including texts and images. This tool could reduce the load on live moderators without fully automating the process.

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