Like a video game, a computer program uses AI to calculate scores to tell doctors how serious a patient's condition is. This tool, used in top-tier hospitals in the United States, indicates a number as a score on their status next to the names of the patients.
This is one of the new applications of artificial intelligence at the Mount Sinai Medical Complex, which has trained a group of AI specialists to develop internal medical tools, which doctors and nurses are testing in clinical care with the ability to create words, sounds and text in a hospital setting.
As the Washington Post explains, these researchers are also working on transcription software that completes billing paperwork and helps create patient files. The commitment of this elite medical complex is backed by publications such as a recent study according to which AI mammography readings detect 20% more cases of breast cancer than radiologists.
However, the role of AI is being questioned by frontline practitioners, as these doctors are concerned that the technology will misdiagnose, reveal sensitive patient data and become an excuse for insurers and hospital administrators cut staff in the name of innovation and efficiency.
One of these examples is the Google chatbot to automate health visits called Med-Palm 2, which had made several inaccuracies in its work collecting clinical documents and organizing data, as denounced by Senator Mark R. Warner.
The two positions are increasingly facing each other in a context where it seems that AI is unstoppable in its full entry into the medical world and where its ability to lighten the work of some professionals in the sector has been received with great enthusiasm, not without controversy.