Updated December 21, 2018 01:11:12A number of major medical facilities in the U.S. and Canada are now using artificial intelligence and machine learning to perform some of the most basic tasks.
The first step in a clinical trial to bring the technology to hospitals is for a small group of doctors to undergo an AI training course.
These doctors will then be paired with an AI-trained technician to perform tasks like cleaning out the operating room.
The training process is a little more complicated than simply getting an AI trained on a dataset of patients.
The doctors and technicians will work together, but they won’t have the same training.
They’ll also need to know each other’s expertise, which can take a few weeks.
The researchers will also need a way to monitor the AI’s progress.
Once the doctors are ready, the hospital will be able to test its AI against the patients in real time, to determine how much time it will take to perform the tasks.
The team will also have access to the patient’s medical records, as well as a video feed of the surgery.
If successful, the research could lead to the development of automated surgical tools that doctors can use to safely perform surgeries.
A recent study in the Journal of the American Medical Association found that using a machine learning technique to identify the correct amount of time between surgery and the patient receiving the procedure was 100 times faster than using a human surgeon.
The team behind the AI-training trial is hoping to move to a trial in the near future.
But the process of training an AI is still far from finished.
So far, the researchers are only looking at how to train an AI to perform certain tasks in hospitals.
If the trial goes well, the AI will be capable of performing routine tasks like checking in with patients, performing an IV, and cleaning out a room.
It won’t be able, for instance, to perform advanced surgical tasks like removing a tumor from the chest.