{"id":1963,"date":"2026-10-14T00:02:54","date_gmt":"2026-10-13T18:32:54","guid":{"rendered":"https:\/\/www.editage.com\/blog\/?p=1963"},"modified":"2026-10-14T09:31:49","modified_gmt":"2026-10-14T04:01:49","slug":"ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report","status":"publish","type":"post","link":"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/","title":{"rendered":"AI Reporting Guidelines for Research: What Authors Need to Disclose and Report"},"content":{"rendered":"<p><strong>Key Takeaways:<\/strong><\/p>\n<ul>\n<li>Current reporting guidelines cover 2 separate duties: disclosing how AI was used as a research tool, and reporting the AI they evaluated as the object of study.<\/li>\n<li>The GAMER checklist supplies 9 items covering generative AI use in any medical study; PRISMA-trAIce covers AI used inside systematic reviews; SPIRIT-AI, CONSORT-AI, STARD-AI, MINIMAR, and CLAIM cover AI as the subject of research.<\/li>\n<li>The details editors ask for most often are the ones authors forget to capture during the study: <strong>model name, version, dates of use, prompts, settings, and verification steps<\/strong>.<\/li>\n<li>Journal rules remain inconsistent, so start tracking your AI use right from the time of designing the study protocol, rather than writing your AI declaration just by memory at the time of submission.<\/li>\n<\/ul>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#Introduction\" >Introduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#Why_Does_AI_Disclosure_Matter_for_Getting_Published\" >Why Does AI Disclosure Matter for Getting Published?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#Are_You_Disclosing_AI_as_a_Tool_or_Reporting_AI_as_a_Subject\" >Are You Disclosing AI as a Tool or Reporting AI as a Subject?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#AI_as_a_research_tool\" >AI as a research tool<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#AI_as_the_intervention_or_test_under_evaluation\" >AI as the intervention or test under evaluation<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#Major_AI_Reporting_Guidelines\" >Major AI Reporting Guidelines<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#SPIRIT-AI_trial_protocols_involving_AI\" >SPIRIT-AI: trial protocols involving AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#CONSORT-AI_trial_reports_involving_AI\" >CONSORT-AI: trial reports involving AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#STARD-AI_diagnostic_accuracy_studies\" >STARD-AI: diagnostic accuracy studies<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#MINIMAR_minimum_information_for_medical_AI\" >MINIMAR: minimum information for medical AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#CLAIM_AI_in_medical_imaging\" >CLAIM: AI in medical imaging<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#GAMER_generative_AI_use_across_all_study_types\" >GAMER: generative AI use across all study types<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#PRISMA-trAIce_AI-assisted_evidence_synthesis\" >PRISMA-trAIce: AI-assisted evidence synthesis<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#The_Nine_Items_of_GAMER\" >The Nine Items of GAMER<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#Items_1_to_3_declaration_tool_specification_and_prompts\" >Items 1 to 3: declaration, tool specification, and prompts<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#Items_4_to_6_custom_models_role_and_location_in_the_manuscript\" >Items 4 to 6: custom models, role, and location in the manuscript<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#Items_7_to_9_verification_data_privacy_and_effect_on_conclusions\" >Items 7 to 9: verification, data privacy, and effect on conclusions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#Where_GAMER-based_disclosures_are_placed_in_the_paper\" >Where GAMER-based disclosures are placed in the paper<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#What_is_likely_to_change_next\" >What is likely to change next<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#A_Pre-Submission_Checklist_for_Authors\" >A Pre-Submission Checklist for Authors<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/#Limitations_and_Unresolved_Gaps\" >Limitations and Unresolved Gaps<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Introduction\"><\/span>Introduction<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI now touches nearly every stage of a study: protocol drafting, <a href=\"https:\/\/www.editage.com\/blog\/ai-literature-search-how-to-use-ai-for-searching-evaluating-and-synthesizing-research\/\">literature searching and screening<\/a>, data extraction, image analysis, statistical code, and manuscript language. Undisclosed or unverified AI use can produce <a href=\"https:\/\/www.editage.com\/blog\/how-to-verify-ai-generated-citations-references-steps-checklist-examples\/\">fabricated citations<\/a>, unreproducible methods, and, in serious cases, retraction. Journal editors and peer reviewers have therefore moved from asking whether AI was used to asking exactly what it did.<\/p>\n<p>This article maps the guidelines that now govern that answer, and shows what to record while the study is running.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Why_Does_AI_Disclosure_Matter_for_Getting_Published\"><\/span>Why Does AI Disclosure Matter for Getting Published?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Disclosure has become a marker of methodological care rather than an administrative formality. Reviewers read the <a href=\"https:\/\/www.editage.com\/blog\/how-to-write-an-ai-disclosure-statement-examples-and-format-for-journal-articles-and-dissertations\/\">AI disclosure statement<\/a> early, and a vague one invites scrutiny of everything that follows.<\/p>\n<ul>\n<li><strong>Reproducibility:<\/strong> not reporting the model version, prompt, or temperature setting makes a <a href=\"https:\/\/www.editage.com\/blog\/methods-section-research-paper\/\">methods section<\/a> impossible to replicate.<\/li>\n<li><strong>Integrity:<\/strong> AI-generated content that no human verified can carry false or exaggerated claims into the literature.<\/li>\n<li><strong>Accountability:<\/strong> authors remain collectively responsible for every sentence, including <a href=\"https:\/\/www.editage.com\/blog\/how-to-verify-an-ai-edited-manuscript-checks-for-hallucinations-flow-and-scientific-writing-quality\/\">AI-edited text<\/a>.<\/li>\n<li><strong>Screening efficiency:<\/strong> naming the affected sections speeds <a href=\"https:\/\/www.editage.com\/blog\/peer-review-definition-types-process-timelines\/\">peer review<\/a> instead of slowing it.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Are_You_Disclosing_AI_as_a_Tool_or_Reporting_AI_as_a_Subject\"><\/span>Are You Disclosing AI as a Tool or Reporting AI as a Subject?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Most confusion in this area comes from misunderstanding whether you&#8217;re using AI in your research or conducting research about AI.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"AI_as_a_research_tool\"><\/span>AI as a research tool<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Covers using an <a href=\"https:\/\/www.editage.com\/blog\/ai-tools-for-research-writing-how-to-choose-and-evaluate-ai-tools-for-academic-writing\/\">AI tool<\/a> for writing, outlining, code generation, data extraction, screening, and analysis support.<\/li>\n<li>GAMER applies here across all types of medical research, from study design through manuscript writing.<\/li>\n<li>For systematic reviews specifically, PRISMA-trAIce adds items for AI used inside the review workflow.<\/li>\n<li>Scope limits are worth noting: GAMER does not cover non-generative tools, general web search engines, or tools used solely for language translation.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"AI_as_the_intervention_or_test_under_evaluation\"><\/span>AI as the intervention or test under evaluation<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Covers models that are themselves study variables: an AI triage system, a diagnostic algorithm, an imaging classifier.<\/li>\n<li>SPIRIT-AI, CONSORT-AI, STARD-AI, MINIMAR, CLAIM, TRIPOD+AI, and DECIDE-AI apply depending on design.<\/li>\n<li>PRISMA-AI sits in this category too, which is why it does not solve the tool-use problem; it was built around AI as a subject of research rather than as an instrument inside the review.<\/li>\n<li>AI can be used as a research tool AND can form the subject of research simultaneously. Supposing a researcher conducts a clinical trial of an AI-powered medical device, and then uses ChatGPT to draft some sections of the manuscript. That researcher needs to follow both CONSORT-AI and GAMER.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Major_AI_Reporting_Guidelines\"><\/span>Major AI Reporting Guidelines<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The table below summarizes scope and source for each guideline; the subsections add the items authors most often miss.<\/p>\n<table width=\"437\">\n<thead>\n<tr>\n<td width=\"127\"><strong>Guideline<\/strong><\/td>\n<td width=\"311\"><strong>Primary scope<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"127\"><a href=\"https:\/\/www.equator-network.org\/reporting-guidelines\/spirit-artificial-intelligence\/\">SPIRIT-AI<\/a><\/td>\n<td width=\"311\">Clinical trial protocols evaluating an intervention with an AI component<\/td>\n<\/tr>\n<tr>\n<td width=\"127\"><a href=\"https:\/\/www.equator-network.org\/reporting-guidelines\/consort-artificial-intelligence\/\">CONSORT-AI<\/a><\/td>\n<td width=\"311\">Reports of clinical trials evaluating an intervention with an AI component<\/td>\n<\/tr>\n<tr>\n<td width=\"127\"><a href=\"https:\/\/www.equator-network.org\/reporting-guidelines\/the-stard-ai-reporting-guideline-for-diagnostic-accuracy-studies-using-artificial-intelligence\/\">STARD-AI<\/a><\/td>\n<td width=\"311\">Diagnostic accuracy studies using AI<\/td>\n<\/tr>\n<tr>\n<td width=\"127\"><a href=\"https:\/\/www.equator-network.org\/reporting-guidelines\/minimar-minimum-information-for-medical-ai-reporting-developing-reporting-standards-for-artificial-intelligence-in-health-care\/\">MINIMAR<\/a><\/td>\n<td width=\"311\">Medical AI research; data, methods, and study characteristics sections<\/td>\n<\/tr>\n<tr>\n<td width=\"127\"><a href=\"https:\/\/www.equator-network.org\/reporting-guidelines\/checklist-for-artificial-intelligence-in-medical-imaging-claim-a-guide-for-authors-and-reviewers\/\">CLAIM (2024 update)<\/a><\/td>\n<td width=\"311\">AI in medical imaging studies<\/td>\n<\/tr>\n<tr>\n<td width=\"127\"><a href=\"https:\/\/ebm.bmj.com\/content\/30\/6\/390\">GAMER<\/a><\/td>\n<td width=\"311\">Generative AI used as a tool in any type of medical research<\/td>\n<\/tr>\n<tr>\n<td width=\"127\"><a href=\"https:\/\/github.com\/cqh4046\/PRISMA-trAIce\">PRISMA-trAIce<\/a><\/td>\n<td width=\"311\">AI used as a methodological tool in systematic reviews<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"SPIRIT-AI_trial_protocols_involving_AI\"><\/span>SPIRIT-AI: trial protocols involving AI<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Applies to the whole protocol, not a single section.<\/li>\n<li>Published simultaneously in BMJ, Nature Medicine, and Lancet Digital Health in 2020; Spanish and Portuguese translations are available.<\/li>\n<li>Specify before recruitment: model version, intended user, input and output handling, and where the tool sits in the care pathway.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"CONSORT-AI_trial_reports_involving_AI\"><\/span>CONSORT-AI: trial reports involving AI<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>The reporting counterpart to SPIRIT-AI, and now read alongside the CONSORT 2025 statement.<\/li>\n<li>Report performance errors, human-AI interaction, and how poor-quality or missing input data were handled.<\/li>\n<li>State any change between the protocol version of the model and the version actually evaluated.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"STARD-AI_diagnostic_accuracy_studies\"><\/span>STARD-AI: diagnostic accuracy studies<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>The newest of the design-specific extensions, published in Nature Medicine on September 15, 2025.<\/li>\n<li>Highest-risk omissions are the reference standard definition, data partitioning, and threshold selection.<\/li>\n<li>Report how cases with indeterminate or failed model outputs were counted.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"MINIMAR_minimum_information_for_medical_AI\"><\/span>MINIMAR: minimum information for medical AI<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Unusual among these guidelines in applying to specific report sections: data, statistical methods and analyses, and study characteristics.<\/li>\n<li>Emphasizes source population, demographics, model architecture, and evaluation; these are the fields that make bias auditable.<\/li>\n<li>Useful as a supplement when a design-specific extension says little about the training population.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"CLAIM_AI_in_medical_imaging\"><\/span>CLAIM: AI in medical imaging<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>The 2024 update revises the original 2020 checklist.<\/li>\n<li>Report acquisition parameters, the ground-truth annotation process, annotator expertise, and the de-identification method.<\/li>\n<li>Applies to the whole report and is widely used by radiology reviewers.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"GAMER_generative_AI_use_across_all_study_types\"><\/span>GAMER: generative AI use across all study types<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Developed through a scoping review, 2 Delphi rounds, and virtual consensus meetings.<\/li>\n<li>51 experts from 26 countries took part, with 44 participating in the Delphi survey itself.<\/li>\n<li>Complements study-specific guidelines by covering every research phase rather than a single design.<\/li>\n<li>Detailed item by item in the next section.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"PRISMA-trAIce_AI-assisted_evidence_synthesis\"><\/span>PRISMA-trAIce: AI-assisted evidence synthesis<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Proposed as a discipline-agnostic extension to the PRISMA 2020 statement.<\/li>\n<li>Targets transparent reporting when AI acts as a methodological tool during evidence synthesis.<\/li>\n<li>Covered in depth later in this article.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"The_Nine_Items_of_GAMER\"><\/span>The Nine Items of GAMER<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Items_1_to_3_declaration_tool_specification_and_prompts\"><\/span>Items 1 to 3: declaration, tool specification, and prompts<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Item 1:<\/strong> state whether any generative tool was used anywhere in the study or manuscript. If none was used, the remaining items do not apply, but an explicit negative statement is still recommended.<\/li>\n<li><strong>Item 2:<\/strong> give the tool name, version or release date, and the dates or period of use. Say whether you used the front-end interface or the API, and report temperature, token length, language, or layer settings where available.<\/li>\n<li><strong>Item 3:<\/strong> describe the prompting technique and provide the unedited responses, ideally as supplementary material submitted with the manuscript.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Items_4_to_6_custom_models_role_and_location_in_the_manuscript\"><\/span>Items 4 to 6: custom models, role, and location in the manuscript<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Item 4:<\/strong> applies only if you developed or fine-tuned a tool. Report the name and version of the original base model. For widely recognized tools such as ChatGPT or Claude, this item is not applicable.<\/li>\n<li><strong>Item 5:<\/strong> describe the functional role in every phase where the tool was used, such as language polishing, outlining, code generation, or analysis.<\/li>\n<li><strong>Item 6:<\/strong> name the concrete sections or paragraphs affected. If the tool was used only for language editing across the whole text, listing sections is unnecessary.<\/li>\n<\/ul>\n<p>The distinction between items 5 and 6 is worth stating plainly: item 5 is what the tool did, and item 6 is where in the manuscript it did it.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Items_7_to_9_verification_data_privacy_and_effect_on_conclusions\"><\/span>Items 7 to 9: verification, data privacy, and effect on conclusions<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Item 7:<\/strong> describe how generated content was proofread, checked, and revised. If no verification was performed, state the reason clearly.<\/li>\n<li><strong>Item 8:<\/strong> describe anonymization, encryption, differential privacy, and compliance with local data protection rules. Remove sensitive patient information before any tool can access it.<\/li>\n<li><strong>Item 9:<\/strong> state whether and how AI use may have influenced interpretation, accuracy, or conclusions, and confirm that all authors accept responsibility for the content.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Where_GAMER-based_disclosures_are_placed_in_the_paper\"><\/span>Where GAMER-based disclosures are placed in the paper<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Most GAMER items were suggested for the methods section, framed as a recommendation rather than a rule. The placement below works for most journals but always check the target journal first.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"364\"><strong>What you are reporting<\/strong><\/td>\n<td width=\"260\"><strong>Usual location<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"364\">Tool name, version, dates, settings, role, and verification<\/td>\n<td width=\"260\">Methods<\/td>\n<\/tr>\n<tr>\n<td width=\"364\">Language editing only, with no effect on content<\/td>\n<td width=\"260\"><a href=\"https:\/\/www.editage.com\/blog\/how-to-write-the-acknowledgments-section-of-a-research-paper-examples-and-tips\/\">Acknowledgments<\/a> or a short AI use statement<\/td>\n<\/tr>\n<tr>\n<td width=\"364\">Prompts, transcripts, and unedited outputs<\/td>\n<td width=\"260\">Supplementary material<\/td>\n<\/tr>\n<tr>\n<td width=\"364\">Base model details for a fine-tuned tool<\/td>\n<td width=\"260\">Methods, with technical detail in supplementary material<\/td>\n<\/tr>\n<tr>\n<td width=\"364\">Effect of AI use on interpretation or conclusions<\/td>\n<td width=\"260\"><a href=\"https:\/\/www.editage.com\/blog\/discussion-section-research-paper\/\">Discussion<\/a> or <a href=\"https:\/\/www.editage.com\/blog\/conclusion-research-paper-implications-limitations-recommendations\/#How_Do_You_Identify_Limitations_in_a_Research_Paper\">limitations<\/a><\/td>\n<\/tr>\n<tr>\n<td width=\"364\">Completed checklist<\/td>\n<td width=\"260\">Uploaded with the submission files<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><span class=\"ez-toc-section\" id=\"What_is_likely_to_change_next\"><\/span>What is likely to change next<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>The GAMER team plans to approach editors of major journals about integrating the checklist into author guidelines, and a standing coordination group will review the statement annually.<\/li>\n<li>PRISMA-trAIce is pursuing formal endorsement through community consensus, so journal uptake will likely follow endorsement.<\/li>\n<li>Expect checklist upload at submission to become mandatory, as it already is for PRISMA and CONSORT.<\/li>\n<li>Monitor ICMJE recommendations, COPE position statements, publisher author guidelines, and funder mandates.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"A_Pre-Submission_Checklist_for_Authors\"><\/span>A Pre-Submission Checklist for Authors<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>Identify the design-specific extension: SPIRIT-AI, CONSORT-AI, STARD-AI, CLAIM, MINIMAR, or TRIPOD+AI.<\/li>\n<li>For a systematic review that used AI in any review step, add PRISMA-trAIce alongside PRISMA 2020.<\/li>\n<li>Complete all 9 GAMER items if a generative AI tool was used in the research process at any stage.<\/li>\n<li>Archive prompts, outputs, model versions, settings, and dates while the study is running, not at write-up.<\/li>\n<li>Confirm that no identifiable patient data entered any tool, and record the anonymization method.<\/li>\n<li>Document who verified generated content and how discrepancies were corrected.<\/li>\n<li>Attach completed checklists as supplementary files; submitting the filled checklist is advised.<\/li>\n<li>Confirm that every author has reviewed the AI-assisted content and accepts responsibility for it.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Limitations_and_Unresolved_Gaps\"><\/span>Limitations and Unresolved Gaps<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>Only 15% of the GAMER expert panel were women, and patient representatives were not included, which the developers flag as a priority for future updates.<\/li>\n<li>PRISMA-trAIce is a proposal awaiting formal consensus, so authors cannot yet cite it as an endorsed standard.<\/li>\n<li>Rapid <a href=\"https:\/\/www.editage.com\/blog\/ai-model-and-tool-updates-what-researchers-need-to-know\/\">changes and updates to AI models<\/a> means version-specific reporting ages quickly, and deprecated versions may be unavailable for replication.<\/li>\n<li>No consensus yet exists on reporting agentic or multi-step AI workflows in which the model chains its own tasks.<\/li>\n<li>Guidance on retrieval-augmented systems and on privately hosted models remains thin.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"Key Takeaways: Current reporting guidelines cover 2 separate duties: disclosing how AI was used as a research tool, and reporting the AI they evaluated as the object of study. The GAMER checklist supplies 9 items covering generative AI use in any medical study; PRISMA-trAIce covers AI used inside systematic reviews; SPIRIT-AI, CONSORT-AI, STARD-AI, MINIMAR, and [&hellip;]","protected":false},"author":3,"featured_media":1970,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_ayudawp_aiss_exclude":false,"_ayudawp_aiss_summary":"Current reporting guidelines cover 2 separate duties: disclosing how AI was used as a research tool, and reporting the AI they evaluated as the object of study. The GAMER checklist supplies 9 items covering generative AI use in any medical study; PRISMA-trAIce covers AI used inside systematic reviews; SPIRIT-AI, CONSORT-AI, STARD-AI, MINIMAR, and CLAIM cover AI as the subject of research. AI can be used as a research tool AND can form the subject of research simultaneously.","_ayudawp_aiss_summary_provider":"extractive","_ayudawp_aiss_summary_hash":"059ae307d5b9673765f380d0f30186f717bc6905"},"categories":[4],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI Reporting Guidelines for Research: What Authors Need to Disclose and Report - Educational Articles For Researchers, Students And Authors - Editage Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.editage.com\/blog\/ai-reporting-guidelines-for-research-what-authors-need-to-disclose-and-report\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Reporting Guidelines for Research: What Authors Need to Disclose and Report - Educational Articles For Researchers, Students And Authors - Editage Blog\" \/>\n<meta property=\"og:description\" content=\"Key Takeaways: Current reporting guidelines cover 2 separate duties: disclosing how AI was used as a research tool, and reporting the AI they evaluated as the object of study. 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