{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T17:12:57Z","timestamp":1788541977131,"version":"build-2803163510"},"reference-count":30,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:00:00Z","timestamp":1788480000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background\/Objectives: The TEG\u00ae 6s is a hemostasis analyzer system used to assess viscoelastic properties of whole blood. Although it provides rapid and comprehensive insights, interpreting thromboelastography tracings requires robust clinical training and is not standardized. Our aim was to develop and evaluate a prototype of MetaTEG\u2014an AI-driven support tool for interpreting TEG\u00ae 6s tracings, with a focus on the Global Hemostasis-Heparin Neutralization cartridge. Methods: TEG\u00ae 6s tracings, obtained from Haemonetics Corporation\u2019s internal case library, were used to train a custom AI agent developed with Microsoft Copilot Studio. Five different clinical cases were used for testing. The AI agent incorporated knowledge graph augmentation and prompt engineering to integrate published literature and assess coagulation states based on R-time, maximum amplitude, and other key parameters. The evaluation of the AI virtualization outcomes included semiquantitative scoring by an internal TEG expert panel who assessed the AI\u2019s diagnostic accuracy, tracing interpretation, and therapeutic recommendations. UI\/UX prototypes were designed in Figma to demonstrate potential integration into clinical workflows. Results: Using this proof-of-concept dataset and qualitative expert scoring, MetaTEG accurately described and interpreted TEG\u00ae 6s tracings and suggested potential treatment options. Reviewers consistently rated the AI-generated outputs as both clinically useful and accurate. Conclusions: The MetaTEG prototype represents the first application of generative AI for TEG\u00ae 6s interpretation, showcasing the potential of AI-powered, human-in-the-loop decision support in hemostasis diagnostics.<\/jats:p>","DOI":"10.3390\/diagnostics16172852","type":"journal-article","created":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T16:07:32Z","timestamp":1788538052000},"page":"2852","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["AI\u2013Enabled Interpretation Guidance for Hemostasis Testing with TEG\u00ae 6s"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4978-8014","authenticated-orcid":false,"given":"Jan","family":"Hartmann","sequence":"first","affiliation":[{"name":"Haemonetics Corporation, 125 Summer Street, Boston, MA 02110, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4249-0228","authenticated-orcid":false,"given":"Dana","family":"Souter","sequence":"additional","affiliation":[{"name":"Haemonetics Corporation, 125 Summer Street, Boston, MA 02110, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1150-4357","authenticated-orcid":false,"given":"Joao D.","family":"Dias","sequence":"additional","affiliation":[{"name":"Haemonetics Corporation, 125 Summer Street, Boston, MA 02110, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qun","family":"Sha","sequence":"additional","affiliation":[{"name":"Haemonetics Corporation, 125 Summer Street, Boston, MA 02110, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"100031","DOI":"10.1016\/j.rpth.2022.100031","article-title":"Viscoelastic testing: An illustrated review of technology and clinical applications","volume":"7","author":"Hartmann","year":"2023","journal-title":"Res. 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