{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T16:14:57Z","timestamp":1778170497470,"version":"3.51.4"},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"28","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAAI"],"abstract":"<jats:p>Despite significant advancements in general AI, its effectiveness in the medical domain is limited by the lack of specialized medical knowledge. \nTo address this, we formulate GMAI-VL-5.5M, a multimodal medical dataset created by converting hundreds of specialized medical datasets with various annotations into high-quality image-text pairs. \nThis dataset offers comprehensive task coverage, diverse modalities, and rich image-text data. \nBuilding upon this dataset, we develop GMAI-VL, a 7B-parameter general medical vision-language model, with a three-stage training strategy that enhances the integration of visual and textual information. \nThis approach significantly improves the model's ability to process multimodal data, supporting accurate diagnoses and clinical decision-making. \nExperiments show that GMAI-VL achieves state-of-the-art performance across various multimodal medical tasks, including visual question answering and medical image diagnosis.<\/jats:p>","DOI":"10.1609\/aaai.v40i28.39485","type":"journal-article","created":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T01:42:08Z","timestamp":1773798128000},"page":"23177-23185","source":"Crossref","is-referenced-by-count":2,"title":["GMAI-VL &amp; GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI"],"prefix":"10.1609","volume":"40","author":[{"given":"Tianbin","family":"Li","sequence":"first","affiliation":[]},{"given":"Yanzhou","family":"Su","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Zhe","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Ziyan","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Guoan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Chenglong","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Ming","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Yanjun","family":"Li","sequence":"additional","affiliation":[]},{"given":"Pengcheng","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Shixiang","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Xiaowei","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Zhongying","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Yuanfeng","family":"Ji","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Qiao","sequence":"additional","affiliation":[]},{"given":"Junjun","family":"He","sequence":"additional","affiliation":[]}],"member":"9382","published-online":{"date-parts":[[2026,3,14]]},"container-title":["Proceedings of the AAAI Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/39485\/43446","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/39485\/43446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T01:42:09Z","timestamp":1773798129000},"score":1,"resource":{"primary":{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/39485"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,14]]},"references-count":0,"journal-issue":{"issue":"28","published-online":{"date-parts":[[2026,3,17]]}},"URL":"https:\/\/doi.org\/10.1609\/aaai.v40i28.39485","relation":{},"ISSN":["2374-3468","2159-5399"],"issn-type":[{"value":"2374-3468","type":"electronic"},{"value":"2159-5399","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3,14]]}}}