{"id":74284,"date":"2017-12-08T02:03:56","date_gmt":"2017-12-08T10:03:56","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2017\/12\/algorithm-better-at-diagnosing-pneumonia-than-radiologists"},"modified":"2017-12-11T18:00:58","modified_gmt":"2017-12-12T02:00:58","slug":"algorithm-better-at-diagnosing-pneumonia-than-radiologists","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2017\/12\/algorithm-better-at-diagnosing-pneumonia-than-radiologists","title":{"rendered":"Algorithm better at diagnosing pneumonia than radiologists"},"content":{"rendered":"<p style=\"padding-right: 20px\"><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/algorithm-better-at-diagnosing-pneumonia-than-radiologists2.jpg\"><\/a><\/p>\n<p>Stanford researchers have developed an <a href=\"https:\/\/phys.org\/tags\/algorithm\/\" rel=\"tag\" class=\"\">algorithm<\/a> that offers diagnoses based off chest X-ray images. It can diagnose up to 14 types of medical conditions and is able to diagnose pneumonia better than expert radiologists working alone.<\/p>\n<p>A paper about the algorithm, called CheXNet, was published Nov. 14 on the open-access, scientific preprint website arXiv.<\/p>\n<p>\u201cInterpreting X-ray images to diagnose pathologies like pneumonia is very challenging, and we know that there\u2019s a lot of variability in the diagnoses radiologists arrive at,\u201d said Pranav Rajpurkar, a graduate student in the Machine Learning Group at Stanford and co-lead author of the paper. \u201cWe became interested in developing machine learning algorithms that could learn from hundreds of thousands of chest X-ray diagnoses and make accurate diagnoses.\u201d<\/p>\n<p><!-- Link: <a href=\"https:\/\/phys.org\/news\/2017-11-algorithm-pneumonia-radiologists.html\">https:\/\/phys.org\/news\/2017&#45;11-algorithm-pneumonia-radiologists.html<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Stanford researchers have developed an algorithm that offers diagnoses based off chest X-ray images. It can diagnose up to 14 types of medical conditions and is able to diagnose pneumonia better than expert radiologists working alone. A paper about the algorithm, called CheXNet, was published Nov. 14 on the open-access, scientific preprint website arXiv. \u201cInterpreting [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,41,6],"tags":[],"class_list":["post-74284","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/74284","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=74284"}],"version-history":[{"count":1,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/74284\/revisions"}],"predecessor-version":[{"id":74372,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/74284\/revisions\/74372"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=74284"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=74284"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=74284"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}