Thanks to human nature, AI has its work cut out for it

If artificial intelligence is going to transform radiology and, with it, the whole of medicine, it’s going to have to get past a lot of wary people and their legitimate and/or misplaced misgivings.   

And that will be no easy task, says a U.K. professor and health IT expert who expects resistance from providers as well as patients.

“AI challenges people and their attitudes: the professionals that the machine can outperform and the patients that are reduced to statistical probabilities to be fed into complex algorithms,” writes Owen Johnson, a senior fellow at the University of Leeds. “The hard slog is not creating the algorithms, but the patience and determination required to conduct careful work within the restrictions of applying the highest standards of data protection and scientific rigor.”

Come to think of it, this may be music to radiologists’ ears.

Either way, the think piece is worth a read: 

Dave Pearson

Dave P. has worked in journalism, marketing and public relations for more than 30 years, frequently concentrating on hospitals, healthcare technology and Catholic communications. He has also specialized in fundraising communications, ghostwriting for CEOs of local, national and global charities, nonprofits and foundations.

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