{"id":27750,"date":"2025-05-14T09:00:57","date_gmt":"2025-05-14T09:00:57","guid":{"rendered":"http:\/\/medexperts.pro\/?p=27750"},"modified":"2025-05-14T09:29:54","modified_gmt":"2025-05-14T09:29:54","slug":"a-i-was-coming-for-radiologists-jobs-so-far-theyre-just-more-efficient","status":"publish","type":"post","link":"https:\/\/medexperts.pro\/?p=27750","title":{"rendered":"A.I. Was Coming for Radiologists\u2019 Jobs. So Far, They\u2019re Just More Efficient."},"content":{"rendered":"
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Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe.<\/p>\n

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Nine years ago, one of the world\u2019s leading artificial intelligence scientists singled out an endangered occupational species.<\/p>\n

\u201cPeople should stop training radiologists now,<\/a>\u201d Geoffrey Hinton said, adding that it was \u201cjust completely obvious\u201d that within five years A.I. would outperform humans in that field.<\/p>\n

Today, radiologists \u2014 the physician specialists in medical imaging who look inside the body to diagnose and treat disease \u2014 are still in high demand. A recent study<\/a> from the American College of Radiology projected a steadily growing work force through 2055.<\/p>\n

Dr. Hinton<\/a>, who was awarded a Nobel Prize in Physics<\/a> last year for pioneering research in A.I., was broadly correct that the technology would have a significant impact \u2014 just not as a job killer.<\/p>\n<\/div>\n<\/div>\n

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That\u2019s true for radiologists at the Mayo Clinic, one of the nation\u2019s premier medical systems, whose main campus is in Rochester, Minn. There, in recent years, they have begun using A.I. to sharpen images, automate routine tasks, identify medical abnormalities and predict disease. A.I. can also serve as \u201ca second set of eyes.\u201d<\/p>\n

\u201cBut would it replace radiologists? We didn\u2019t think so,\u201d said Dr. Matthew Callstrom, the Mayo Clinic\u2019s chair of radiology, recalling the 2016 prediction. \u201cWe knew how hard it is and all that is involved.\u201d<\/p>\n

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Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe.Nine years ago, one of the world\u2019s leading artificial intelligence scientists singled out an endangered occupational species.\u201cPeople should stop training radiologists now,\u201d Geoffrey Hinton said, adding that it was \u201cjust completely obvious\u201d that within five years A.I. would outperform humans in that field.Today, radiologists \u2014 the physician specialists in medical imaging who look inside the body to diagnose and treat disease \u2014 are still in high demand. A recent study from the American College of Radiology projected a steadily growing work force through 2055.Dr. Hinton, who was awarded a Nobel Prize in Physics last year for pioneering research in A.I., was broadly correct that the technology would have a significant impact \u2014 just not as a job killer.That\u2019s true for radiologists at the Mayo Clinic, one of the nation\u2019s premier medical systems, whose main campus is in Rochester, Minn. There, in recent years, they have begun using A.I. to sharpen images, automate routine tasks, identify medical abnormalities and predict disease. A.I. can also serve as \u201ca second set of eyes.\u201d\u201cBut would it replace radiologists? We didn\u2019t think so,\u201d said Dr. Matthew Callstrom, the Mayo Clinic\u2019s chair of radiology, recalling the 2016 prediction. \u201cWe knew how hard it is and all that is involved.\u201dWe are having trouble retrieving the article content.Please enable JavaScript in your browser settings.Thank you for your patience while we verify access. If you are in Reader mode please exit and\u00a0log into\u00a0your Times account, or\u00a0subscribe\u00a0for all of The Times.Thank you for your patience while we verify access.Already a subscriber?\u00a0Log in.Want all of The Times?\u00a0Subscribe.<\/p>\n","protected":false},"author":1,"featured_media":27752,"comment_status":"close","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[],"class_list":["post-27750","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science"],"_links":{"self":[{"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/posts\/27750","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=27750"}],"version-history":[{"count":2,"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/posts\/27750\/revisions"}],"predecessor-version":[{"id":27753,"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/posts\/27750\/revisions\/27753"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=\/wp\/v2\/media\/27752"}],"wp:attachment":[{"href":"https:\/\/medexperts.pro\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=27750"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=27750"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/medexperts.pro\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=27750"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}