{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T12:21:26Z","timestamp":1770985286178,"version":"3.50.1"},"reference-count":40,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T00:00:00Z","timestamp":1770940800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62403186"],"award-info":[{"award-number":["62403186"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"publisher","award":["2024AFB153"],"award-info":[{"award-number":["2024AFB153"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["93K172024K14"],"award-info":[{"award-number":["93K172024K14"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong Research Grants Council (RGC) Collaborative Research Fund","award":["CRF C4026-21GF"],"award-info":[{"award-number":["CRF C4026-21GF"]}]},{"name":"General Research Fund","award":["GRF 14203323"],"award-info":[{"award-number":["GRF 14203323"]}]},{"name":"General Research Fund","award":["GRF 14216022"],"award-info":[{"award-number":["GRF 14216022"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Bioengineering"],"abstract":"<jats:p>Accurate and real-time glottis localization is critical for ensuring intraoperative oxygenation and patient safety during nasotracheal intubation. However, representative foundation models exemplified by the Segment Anything Model exhibit notable limitations in medical applications, stemming from their rigid attention mechanisms, feature space misalignment, and insufficient generalization to complex glottal anatomies. To address these challenges, we propose Glottis-SAM, a lightweight and task-adaptive segmentation framework that integrates dynamic representation learning with multi-prior contextual modeling. Specifically, we introduce a hierarchical low-rank adaptation strategy that enables efficient fine-tuning of visual foundation models by preserving geometric priors while significantly reducing computational overhead. To further enhance semantic fusion and generalization, we design a feature aggregation module with dual-path dynamic feature pyramids, which enables complementary optimization from local textures to global semantic structures under varying anatomical conditions. Extensive experiments on three diverse datasets demonstrate that Glottis-SAM achieves state-of-the-art segmentation accuracy with 72.6% mDice, a compact 55.2 MB model size, and 44.3 FPS inference speed on clinical data. These results highlight the model\u2019s robustness, efficiency, and potential for deployment in visual guidance systems for nasotracheal intubation.<\/jats:p>","DOI":"10.3390\/bioengineering13020217","type":"journal-article","created":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T10:52:21Z","timestamp":1770979941000},"page":"217","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrating Dynamic Representation and Multi-Priors for Transnasal Intubation via Visual Foundation Model"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4033-5026","authenticated-orcid":false,"given":"Jinyu","family":"Liu","sequence":"first","affiliation":[{"name":"Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Hubei University of Technology, Nanhu Avenue 28, Wuhan 430068, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0341-6763","authenticated-orcid":false,"given":"Ruoyi","family":"Hao","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2926-6227","authenticated-orcid":false,"given":"Mingying","family":"Li","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Hubei University of Technology, Nanhu Avenue 28, Wuhan 430068, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Hubei University of Technology, Nanhu Avenue 28, Wuhan 430068, China"},{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education, Jilin University, Changchun 130012, China"},{"name":"National Key Laboratory for Novel Software Technology, Nanjing University, Hankou Road 22, Nanjing 210093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6488-1551","authenticated-orcid":false,"given":"Hongliang","family":"Ren","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"110553","DOI":"10.1016\/j.patcog.2024.110553","article-title":"Brain tumor segmentation in MRI with multi-modality spatial information enhancement and boundary shape correction","volume":"153","author":"Zhu","year":"2024","journal-title":"Pattern Recognit."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Liu, H., Liu, S.Q., Xie, X.L., Li, Y., Zhou, X.H., Feng, Z.Q., Li, G.T., Ma, X.Y., Hou, Z.G., and Yuan, Y.Y. 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