Feasibility of an Augmented Reality Artificial Intelligence Tool for Real-Time Assessment of Thyroid Fine-Needle Aspiration Adequacy.
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| Title: | Feasibility of an Augmented Reality Artificial Intelligence Tool for Real-Time Assessment of Thyroid Fine-Needle Aspiration Adequacy. |
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| Authors: | Gibbs PM; Scripps Memorial Hospital, La Jolla, CA, USA. gibbs.paul@scrippshealth.org., Nguyen DX; V-Star Data, LLC, Hanoi, Vietnam., Vargas GM; St. George's University School of Medicine, West Indies, Grenada., Gibbs MJ; Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, UK., Sudheesh P; Imperial College London School of Medicine, London, UK., Fitzpatrick EK; Department of Pathology, Scripps Health, La Jolla, CA, USA., Tapia OR; Department of Pathology, Scripps Health, La Jolla, CA, USA., Zhong J; St. George's University School of Medicine, West Indies, Grenada., Steele JB; Scripps Memorial Hospital, La Jolla, CA, USA. |
| Source: | Cardiovascular and interventional radiology [Cardiovasc Intervent Radiol] 2026 Apr; Vol. 49 (4), pp. 809-817. Date of Electronic Publication: 2026 Feb 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Verlag Country of Publication: United States NLM ID: 8003538 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-086X (Electronic) Linking ISSN: 01741551 NLM ISO Abbreviation: Cardiovasc Intervent Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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