{"id":5419,"date":"2023-06-02T06:03:57","date_gmt":"2023-06-02T06:03:57","guid":{"rendered":"https:\/\/healthnewscentral.com\/?p=5419"},"modified":"2023-06-02T06:03:57","modified_gmt":"2023-06-02T06:03:57","slug":"scientists-discover-that-ai-tool-can-help-spot-early-signs-of-cancer-in-chest-x-rays","status":"publish","type":"post","link":"https:\/\/healthnewscentral.com\/scientists-discover-that-ai-tool-can-help-spot-early-signs-of-cancer-in-chest-x-rays\/","title":{"rendered":"Scientists Discover That AI Tool \u2018Can Help Spot Early Signs Of Cancer In Chest X-Rays\u2019"},"content":{"rendered":"<figure id=\"attachment_5420\" aria-describedby=\"caption-attachment-5420\" style=\"width: 730px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-5420\" src=\"https:\/\/healthnewscentral.com\/wp-content\/uploads\/2023\/05\/cancer.jpeg\" alt=\"\" width=\"730\" height=\"383\" srcset=\"https:\/\/healthnewscentral.com\/wp-content\/uploads\/2023\/05\/cancer.jpeg 730w, https:\/\/healthnewscentral.com\/wp-content\/uploads\/2023\/05\/cancer-300x157.jpeg 300w, https:\/\/healthnewscentral.com\/wp-content\/uploads\/2023\/05\/cancer-395x207.jpeg 395w\" sizes=\"(max-width: 730px) 100vw, 730px\" \/><figcaption id=\"caption-attachment-5420\" class=\"wp-caption-text\">Good News Network<\/figcaption><\/figure>\n<p style=\"font-weight: 400;\">According to a new study, artificial intelligence (AI) can help detect early signs of cancer in chest X-rays.<\/p>\n<p style=\"font-weight: 400;\">Research shows that an AI tool can accurately differentiate between normal and abnormal chest X-rays in a clinical setting just as effectively as professional radiologists. This is especially significant because as one editorial paper shared, radiology departments are often understaffed.<\/p>\n<p style=\"font-weight: 400;\">Abnormal chest X-rays can be indicative of a number of different health conditions, including cancer and many chronic lung diseases. Scientists share that an AI tool that has the ability to accurately classify normal and abnormal X-rays would be of great help to reduce the already heavy workload of most radiologists.<\/p>\n<p style=\"font-weight: 400;\">Study co-author and radiologist from the Herley and Gentofte Hospital in Copenhagen, Dr. Louis Lind Plesner, shared in a report from <a href=\"https:\/\/www.rsna.org\/news\/2023\/march\/ai-identifies-normal-abnormal-xrays\">Radiological Society of North America (RSNA)<\/a>, <em><strong>\u201cArtificial intelligence has shown great promise, but should always be thoroughly tested before any implementation.\u201d<\/strong><\/em><\/p>\n<p style=\"font-weight: 400;\">In the study, the researchers used a commercially available AI tool to analyze the chest X-rays of 1,529 patients from four different hospitals located in Denmark.<\/p>\n<p style=\"font-weight: 400;\">These chest X-rays were from different emergency department patients, in-hospital patients, and outpatients. For reference standards, two board-certified radiologists were used, while a third radiologist was used in cases of disagreements.<\/p>\n<p style=\"font-weight: 400;\">The AI tool correctly identified abnormal chest X-rays with a 99.1% sensitivity rate, including those with critical, remarkable, and unremarkable abnormalities. In 10 cases there were false negatives, of which 9 were clinically insignificant. As for the significant one, which was a subtle lesion, it was also missed by one of the attending radiologists.<\/p>\n<p style=\"font-weight: 400;\">Dr. Plesner explained, <em><strong>\u201cThe most surprising finding was just how sensitive this AI tool was for all kinds of chest disease. In fact, we could not find a single chest X-ray in our database where the algorithm made a major mistake.\u201d<\/strong><\/em><\/p>\n<p style=\"font-weight: 400;\"><em><strong>\u201cFurthermore, the AI tool had a sensitivity overall better than the clinical board-certified radiologists,\u201d<\/strong><\/em> he added.<\/p>\n<p style=\"font-weight: 400;\">Dr. Plesner also said that the AI tool managed to perform especially well at identifying normal X-rays at a rate of 11.6% for the outpatient group.<\/p>\n<p style=\"font-weight: 400;\">He also suggested that these findings, which were published in the journal <a href=\"https:\/\/pubs.rsna.org\/doi\/suppl\/10.1148\/radiol.222268\">Radiology<\/a>, indicate that this AI model would perform well in outpatient settings with a high prevalence of normal chest X-rays.<\/p>\n<p style=\"font-weight: 400;\">The editorial on this topic praised the potential of the study\u2019s key finding, which was the ability to handle 7.8% of all normal readings for radiologists. However, it also suggested that more research is needed to ensure that radiologists are not putting patients at risk for a mere 7.8% in workload reduction either.<\/p>\n<p>Overall, the study demonstrates that while AI tools can highly effective in detecting early signs of cancer in chest X-rays, further testing is still needed before widespread implementation.<\/p>\n<p style=\"font-weight: 400;\">\n","protected":false},"excerpt":{"rendered":"<p>According to a new study, artificial intelligence (AI) can help detect early signs of cancer in chest X-rays. Research shows that an AI tool can accurately differentiate between normal and abnormal chest X-rays in a clinical setting just as effectively as professional radiologists. This is especially significant because as one editorial paper shared, radiology departments [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":5420,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"image","meta":[],"categories":[4],"tags":[73,16,1603],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.11 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Scientists Discover That AI Tool \u2018Can Help Spot Early Signs Of Cancer In Chest X-Rays\u2019<\/title>\n<meta name=\"description\" content=\"Research shows that an AI tool can accurately differentiate between normal and abnormal chest X-rays in a clinical setting.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/healthnewscentral.com\/scientists-discover-that-ai-tool-can-help-spot-early-signs-of-cancer-in-chest-x-rays\/\" \/>\n<meta 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