{"id":626287,"date":"2026-09-24T18:56:09","date_gmt":"2026-09-24T18:56:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/626287\/"},"modified":"2026-09-24T18:56:09","modified_gmt":"2026-09-24T18:56:09","slug":"is-ai-flooding-medical-journals-with-meaningless-research","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/626287\/","title":{"rendered":"Is AI Flooding Medical Journals With &#8216;Meaningless&#8217; Research?"},"content":{"rendered":"<p>As artificial intelligence (AI) grows more sophisticated, its use in medical research is becoming both more prominent and harder to detect, leading to what some describe as a flood of mediocre science being published in journals.<\/p>\n<p>Even just 6 months ago, AI hallucinations like fabricated references were a big concern. But it&#8217;s now relatively easy to prompt AI to double-check these things and churn out research with no obvious errors, experts said.<\/p>\n<p>At the same time, it&#8217;s become harder for journals to identify AI&#8217;s fingerprints.<\/p>\n<p>&#8220;We are at a point now that we cannot distinguish fake from real,&#8221; said Elisabeth Bik, PhD, a science integrity consultant known for detecting fraud in research.<\/p>\n<p>Ivan Oransky, MD, co-founder of Retraction Watch, explained that it&#8217;s become relatively easy to enter a dataset into ChatGPT or Claude and have it generate a study with findings of little consequence. Systematic reviews are particularly easy to create, experts said.<\/p>\n<p>Essentially, AI slop has just been replaced by &#8220;kind of meaningless&#8221; science, Oransky said.<\/p>\n<p>While it &#8220;may be deceptive if you&#8217;re not disclosing the AI use, it&#8217;s not fraudulent, and it&#8217;s not really slop,&#8221; he added.<\/p>\n<p>Since generative AI came to market, the number of studies using public datasets such as CDC&#8217;s <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=CDC%20Wonder&amp;timeline=expanded\" target=\"_blank\" rel=\"nofollow noopener\">WONDER<\/a> or the <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=NHANES&amp;timeline=expanded\" target=\"_blank\" rel=\"nofollow noopener\">National Health and Nutrition Examination Survey<\/a> has skyrocketed, according to Matt Spick, PhD, a research integrity expert at the University of Surrey in England.<\/p>\n<p>Indeed, most biomedical publications have tells of LLM-assisted writing, <a href=\"https:\/\/arxiv.org\/abs\/2608.10715\" target=\"_blank\" rel=\"nofollow noopener\">according to a study<\/a> cited by Spick.<\/p>\n<p>At one publisher, things got so bad that leaders had to implement a new strategy for dealing with the influx of AI-generated studies.<\/p>\n<p>Last year, the open-access publisher Frontiers became the first to require &#8220;new experimental validation or additional data from authors&#8217; own institutions for all manuscripts comprising solely of bioinformatics analyses, computational studies of public data such as NHANES, or findings from Mendelian Randomization studies,&#8221; Elena Vicario, PhD, director of research integrity at Frontiers, told MedPage Today.<\/p>\n<p>In the past year, the research integrity team has rejected &#8220;more than 12,000 submissions based on simple queries of public datasets, including over 3,000 NHANES-based submissions,&#8221; she added.<\/p>\n<p>Other journals have reviewed their policies to ensure the flood of mediocre studies doesn&#8217;t overwhelm the peer review system.<\/p>\n<p>Springer Nature uses &#8220;a combination of screening tools, AI-enabled approaches and expert human oversight&#8221; to identify and assess unethical or fraudulent content, according to director of research integrity Chris Graf.<\/p>\n<p>A spokesperson for NEJM Group said it is &#8220;actively piloting AI detection tools in multiple areas and looking to improve disclosure efforts from our authors.&#8221;<\/p>\n<p>Tools for detecting use of AI in manuscripts include Pangram, which analyzes blocks of text to estimate if it is AI or human-written, while programs like Imagetwin and Proofig can detect duplicated images and plagiarism.<\/p>\n<p>But whether these tools can keep up with AI&#8217;s constant improvement remains a question. Bik noted that image fraud detection tools are better at detecting fraud in pre-AI research. The skills she and other research fraud sleuths have are &#8220;based on the fraud of yesterday,&#8221; she said.<\/p>\n<p>Gideon Meyerowitz-Katz, PhD, of the University of Sydney, said generative AI has made outright fraud a lot easier to do as well  &#8212;  and that&#8217;s a whole other issue that journals and publishers have to deal with.<\/p>\n<p>It has also aided authors&#8217; responses to fraud accusations, he noted. In the past, when Meyerowitz-Katz flagged a potentially fraudulent study to a journal, he rarely received a response from the authors.<\/p>\n<p>&#8220;Now, every time I complain about a paper to a journal, I will receive a 5-page, in-depth rebuttal to my points, which Pangram says is almost entirely AI generated,&#8221; he told MedPage Today.<\/p>\n<p>As long as the &#8220;publish-or-perish&#8221; incentive lives on in academic medicine, journals are likely to continue to be bombarded with mediocre AI-created work, experts said.<\/p>\n<p>&#8220;If medical schools and universities don&#8217;t want the literature to be overwhelmed with garbage,&#8221; Oransky said, &#8220;then they should probably stop giving every applicant &#8230; an incentive to publish a lot of crap.&#8221;<\/p>\n","protected":false},"excerpt":{"rendered":"As artificial intelligence (AI) grows more sophisticated, its use in medical research is becoming both more prominent and&hellip;\n","protected":false},"author":2,"featured_media":626288,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[163,85,46],"class_list":["post-626287","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health","tag-health","tag-il","tag-israel"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/626287","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=626287"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/626287\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/626288"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=626287"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=626287"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=626287"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}