The developers noted that AI can already detect lung, breast, brain, skin and cervical cancer. But
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.
New AI can distinguish birds by appearance
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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