Multimodal large language models for oral lesion diagnosis: a systematic review of diagnostic performance and clinical utility

Authors

Suliman Alsaeed (ORCID: https://orcid.org/0000-0003-4185-0290)
Melek Taşsöker (ORCID: https://orcid.org/0000-0003-2062-5713)
Yousra Ahmed
Fatma E. A. Hassanein
Asmaa Abou-Bakr
Malik Alkabazi

Institutions

Khalifa University of Science and Technology (AE)
King Saud bin Abdulaziz University for Health Sciences (SA)
British Society of Periodontology (GB)
Institute of Informatics Problems (RU)
King Abdullah International Medical Research Center (SA)
Necmettin Erbakan University (TR)
National Guard Health Affairs (SA)
International University (KH)

Publication Details

Journal: Frontiers in Oral Health
Published: 2026-02-24
DOI: https://doi.org/10.3389/froh.2026.1748450
Citations: 1
Primary Topic: AI in cancer detection
Type: article
Field-Weighted Citation Impact: 52.10

Funders

King Abdullah International Medical Research Center

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article

Multimodal large language models for oral lesion diagnosis: a systematic review of diagnostic performance and clinical utility

Suliman Alsaeed, Melek Taşsöker, Yousra Ahmed, Fatma E. A. Hassanein et al.

Feb 24, 2026

1 citations

Frontiers in Oral Health

AI in cancer detection

52.10

article

Multimodal large language models for oral lesion diagnosis: a systematic review of diagnostic performance and clinical utility

Suliman Alsaeed, Melek Taşsöker, Yousra Ahmed, Fatma E. A. Hassanein, Asmaa Abou-Bakr, Malik Alkabazi

February 24, 2026article en

1 citations

Abstract

No abstract available for this paper.

Frontiers in Oral HealthVol. 7

Khalifa University of Science and Technology (AE), King Saud bin Abdulaziz University for Health Sciences (SA), British Society of Periodontology (GB), Institute of Informatics Problems (RU), King Abdullah International Medical Research Center (SA), Necmettin Erbakan University (TR), National Guard Health Affairs (SA), International University (KH)

King Abdullah International Medical Research Center

Peace, Justice and strong institutions

Openalex Percentile: Top 0%

AI in cancer detection

52.10

DOI Open Access PDF OpenAlex

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