A linguistic lens into vision-language models for open-ended question-answers in medical visual question answering.

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Bibliographic Details
Title: A linguistic lens into vision-language models for open-ended question-answers in medical visual question answering.
Authors: Lameesa A; Information and Communication Technology, Griffith University, Gold Coast, Queensland, Australia., Bin Alam MS; Information and Communication Technology, Griffith University, Gold Coast, Queensland, Australia., Mohi Uddin KM; Department of Computer Science and Engineering, Southeast University, Dhaka, Bangladesh., Muhammad Masum AK; Department of Computer Science and Engineering, Southeast University, Dhaka, Bangladesh.
Source: Digital health [Digit Health] 2026 May 06; Vol. 12, pp. 20552076261450386. Date of Electronic Publication: 2026 May 06 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2055-2076
DOI:10.1177/20552076261450386