{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["29(5)"],"submitter":["Iannantuono GM"],"funding":["National Cancer Institute","NCI NIH HHS","National Institutes of Health","NIH HHS"],"pubmed_abstract":["<h4>Background</h4>The capability of large language models (LLMs) to understand and generate human-readable text has prompted the investigation of their potential as educational and management tools for patients with cancer and healthcare providers.<h4>Materials and methods</h4>We conducted a cross-sectional study aimed at evaluating the ability of ChatGPT-4, ChatGPT-3.5, and Google Bard to answer questions related to 4 domains of immuno-oncology (Mechanisms, Indications, Toxicities, and Prognosis). We generated 60 open-ended questions (15 for each section). Questions were manually submitted to LLMs, and responses were collected on June 30, 2023. Two reviewers evaluated the answers independently.<h4>Results</h4>ChatGPT-4 and ChatGPT-3.5 answered all questions, whereas Google Bard answered "],"journal":["The oncologist"],"pagination":["407-414"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11067804"],"repository":["biostudies-literature"],"pubmed_title":["Comparison of Large Language Models in Answering Immuno-Oncology Questions: A Cross-Sectional Study."],"pmcid":["PMC11067804"],"pubmed_authors":["Choo-Wosoba H","Bracken-Clarke D","Gulley JL","Iannantuono GM","Floudas CS","Karzai F"],"additional_accession":[]},"is_claimable":false,"name":"Comparison of Large Language Models in Answering Immuno-Oncology Questions: A Cross-Sectional Study.","description":"<h4>Background</h4>The capability of large language models (LLMs) to understand and generate human-readable text has prompted the investigation of their potential as educational and management tools for patients with cancer and healthcare providers.<h4>Materials and methods</h4>We conducted a cross-sectional study aimed at evaluating the ability of ChatGPT-4, ChatGPT-3.5, and Google Bard to answer questions related to 4 domains of immuno-oncology (Mechanisms, Indications, Toxicities, and Prognosis). We generated 60 open-ended questions (15 for each section). Questions were manually submitted to LLMs, and responses were collected on June 30, 2023. Two reviewers evaluated the answers independently.<h4>Results</h4>ChatGPT-4 and ChatGPT-3.5 answered all questions, whereas Google Bard answered ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 May","modification":"2026-06-03T10:04:15.947Z","creation":"2026-04-26T03:11:36.948Z"},"accession":"S-EPMC11067804","cross_references":{"pubmed":["38309720"],"doi":["10.1093/oncolo/oyae009"]}}