{"doi":"10.1002/lary.32202","title":"An Evaluation of Current Trends in <scp>AI</scp>‐Generated Text in Otolaryngology Publications","abstract":"OBJECTIVES: Since the release of ChatGPT-4 in March 2023, large language models (LLMs) application in biomedical manuscript production has been widespread. GPT-modified text detectors, such as GPTzero, lack sensitivity and reliability and do not quantify the amount of AI-generated text. However, recent work has identified certain adjectives more frequently used by LLMs that can help identify and quantify LLM-modified text. The aim of this study is to utilize these adjectives to identify LLM-generated text in otolaryngology publications. STUDY DESIGN: Meta-research. METHODS: Twenty-five otolaryngology journals were studied between November 2022 and July 2024, encompassing 8751 published works. Articles from countries where ChatGPT-4 is not available were removed, yielding 7702 articles for study inclusion. These publications were analyzed using a Python script to determine the frequency of the top 100 adjectives disproportionately generated by ChatGPT-4. RESULTS: A significant increase in the frequency of adjectives associated with GPT use was observed from November 2023 to July 2024 across all journals (p < 0.001), with a significant difference before and after the release of ChatGPT in March 2023. Journals with higher impact factors had significantly lower usage of GPT-associated adjectives than those with lower impact factors (p < 0.001). There was no significant difference in GPT-associated adjective use by first authors with a doctoral degree versus those without. Publications by authors from English-speaking countries demonstrated a significantly more frequent use of LLM-associated adjectives (p < 0.001). CONCLUSIONS: This study suggests that ChatGPT use in otolaryngology manuscript production has significantly increased since the release of ChatGPT-4. Future research should be aimed at further characterizing the landscape of AI-generated text in otolaryngology and developing tools that encourage authors' transparency regarding the use of LLMs. LEVEL OF EVIDENCE: NA.","journal":"The Laryngoscope","year":2025,"id":541022,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9567,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1411022,"name":"Sean A. Setzen","orcid":"0000-0002-5796-4527","position":1,"is_corresponding":false},{"id":1429391,"name":"Samantha Tsai","orcid":null,"position":2,"is_corresponding":false},{"id":89678,"name":"Anaïs Rameau","orcid":"0000-0003-1543-2634","position":3,"is_corresponding":false},{"id":1400857,"name":"Rachel B. Kutler","orcid":"0009-0006-5202-6888","position":0,"is_corresponding":true}],"reference_count":30,"raw_metadata":null,"created_at":"2026-07-19T02:52:42.901627Z","pmid":"40277459","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}