According to global research firm Gartner, smart machines and robots would likely replace highly-trained professionals globally in tasks within medicine by 2022. Artificial intelligence, cognitive computing And machine learning systems will not even spare the jobs requiring higher education, i.e. doctors.
Machine Learning Is Progressing
On Monday, at the Big Data & Healthcare Analytics Forum, the CEO of Cyft, Leonard D’Avolio said that the numbers indicate that machine learning is progressing. He added that the opportunity has already been detected and money has started to flow in to make most of it.
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According to D’Avolio, the main areas where artificial intelligence, cognitive computing and machine learning systems could replace humans are radiology and pathology. While it might sound wrong, D’Avolio said in the future it could become unethical not to do so.
Artificial Intelligence, Cognitive Computing And Machine Learning Systems Become Better
D’Avolio said that an argument can be made on employing computers instead of humans in healthcare. He said, “in any part of healthcare where a human is interpreting data or images, when a computer does a better job than a human and costs less, the argument could be made that it would be wrong not to use a computer”
D’Avolio said that this is a vision of the future and not the current state for most healthcare providers.
Hospitals Buy Machines To Improve Care Or Reduce Re-admissions
While the argument will always be open on artificial intelligence, cognitive computing and machine learning systems becoming better than humans. The reason why hospitals buy machine learning or artificial intelligence can be different. The idea is not to enhance technology or replace humans but to buy effective solutions to address specific problems, like improving care or reducing re-admissions.
Gurmeet Sran, MD, Medical Director of Health Analytics and Data Science at Dignity Health said that their organization is exploring different ways to use machine learning. Their research would help in understanding what works, what does not and also figure out what went wrong with a given patient.
“Innovation does not happen in leaps and bounds. It will be incremental,” D’Avolio said. “But we are now talking about replacing doctors, lawyers, and other professionals.”
Date: May 17, 2017