{"id":3879,"date":"2026-04-13T09:46:07","date_gmt":"2026-04-13T09:46:07","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/3879\/"},"modified":"2026-04-13T09:46:07","modified_gmt":"2026-04-13T09:46:07","slug":"how-ai-could-help-doctors-find-lung-cancer-earlier-and-save-more-lives-3","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/3879\/","title":{"rendered":"How AI could help doctors find lung cancer earlier \u2014 and save more lives"},"content":{"rendered":"

CLEVELAND, Ohio (InvestigateTV<\/a>) \u2014 Artificial intelligence is showing promise as a tool for detecting lung cancer nodules that even trained radiologists can miss, according to researchers studying the technology at University Hospitals in Cleveland<\/a>. <\/p>\n

Lung cancer nodules in their early stages can be nearly impossible to see. The disease often goes undiagnosed until patients begin experiencing symptoms, by which point it may be too late. <\/p>\n

\u201cWhen they are having cough, chest pain or blood coming out of the sputum, unfortunately that stage is stage three or four, and at that time the survival rate is, whatever you do, is in single digits,\u201d Dr. Amit Gupta, a radiologist at University Hospitals, said. <\/p>\n

Gupta and his team are now studying an AI tool called Qure.ai to determine whether it can help catch the disease sooner. <\/p>\n

\u201cIn my initial experience, it can find some of the nodules which are super hidden and on a busy day, even a trained cardiothoracic radiologist may overlook them,\u201d Gupta said. <\/p>\n

Qure.ai acts as a second set of eyes for radiologists. <\/p>\n

Dr. Samir Shah, the company\u2019s chief medical officer, said its AI algorithm was trained on large amounts of data gathered over nine years studying tuberculosis X-rays. <\/p>\n

\u201cThose X-rays could be used not only to look at TB, but we started looking at lung nodules as well, and we looked at 5 million of those,\u201d Shah said. \u201cThat\u2019s more than I would ever read \u2014 and maybe 10-fold more than I would ever read in my entire lifetime,\u201d Shah said. <\/p>\n

Through that vast amount of data, the system learned what was and was not a nodule. <\/p>\n

Shah said the technology is aimed at achieving what researchers call a \u201cstage shift,\u201d catching lung cancer in stage one or two, when survival rates jump to 60 to 70 percent. <\/p>\n

\u201cWhen it starts small and has not spread and it can be removed, you\u2019re talking about a curative situation,\u201d Shah said. \u201cThat\u2019s what the goal is for every oncologist. That\u2019s what the goal is for every thoracic surgeon who\u2019s involved, every pulmonologist. That\u2019s what the aim is.\u201d <\/p>\n

Beyond lung cancer, Qure.ai said the technology also shows promise in diagnosing other difficult-to-detect illnesses, including breast cancer. <\/p>\n

In a broader survey by the American Medical Association, 66 percent of doctors report they currently use AI in their practice for tasks including billing codes, medical charts and visit notes. Experts say AI\u2019s growing role in health care should be seen as an opportunity. <\/p>\n

\u201cIt\u2019s saving them time. It\u2019s giving better quality care for their patients,\u201d Foluke Omosun, an assistant professor at Sacred Heart University, said. \u201cThey\u2019re having more time to do other things. so I feel like this is something that doctors should be excited about.\u201d <\/p>\n

Read the full story.<\/a><\/p>\n

Copyright 2026 Gray Media Group, Inc. All Rights Reserved. <\/p>\n","protected":false},"excerpt":{"rendered":"CLEVELAND, Ohio (InvestigateTV) \u2014 Artificial intelligence is showing promise as a tool for detecting lung cancer nodules that…\n","protected":false},"author":2,"featured_media":3880,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,2979,3753,3754,3750,3751,3749,1407,3752,3755],"class_list":{"0":"post-3879","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-impact","11":"tag-inform","12":"tag-inspire","13":"tag-investigate-tv","14":"tag-investigate-tv-plus","15":"tag-investigatetv","16":"tag-investigation","17":"tag-investigators","18":"tag-solutions-based-journalism"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/3879","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=3879"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/3879\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/3880"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=3879"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=3879"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=3879"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}