Emmanuel J Favaloro: Comparing AI Models for Thromboelastography and ROTEM Interpretation
Emmanuel J Favaloro, Lead Scientist at Haemostasis and Thrombosis Research, Sydney Centres for Thrombosis and Haemostasis, shared a post on LinkedIn about a recent article he and his colleagues co-authored, published in Seminars in Thrombosis and Hemostasis, adding:
”Latest collaborative publication from the Sydney Centres for Thrombosis and Haemostasis.
This one ably led by my Singapore based collaborators Jun Kai Yeong and Bingwen Eugene Fan.”
Title: Large Language Models for Viscoelastic Tests: A Head-to-Head Evaluation of ChatGPT, Gemini, and DeepSeek for Thromboelastography and ROTEM Interpretation
Authors: Jun Kai, Mauro Panigada, Mohammad Ahmad Altemem, Emmanuel J. Favaloro, Bingwen Eugene Fan
Other posts featuring Emmanuel J Favaloro on Hemostasis Today.
-
Aug 25, 2026, 00:07Muhammad Ali Khan: Using EHR Data to Predict Fibrotic Progression in PV and ET
-
Aug 25, 2026, 00:06Michael R. Scoma: The Vascular Dimension of Long COVID
-
Aug 24, 2026, 23:40Vimee Bindra: Your Period May Be Trying to Tell You Something
-
Aug 24, 2026, 23:30R. P. Singh: Hemophilia and HIV Relationship
-
Aug 24, 2026, 23:12Marta Velia Antonini: Hemolysis in ECMO – More Than Just a Laboratory Finding
-
Aug 24, 2026, 18:13Chokri Ben Lamine: Ruxolitinib – Comprehensive Clinical Reference
-
Aug 24, 2026, 18:10Yazan Abou-Ismail: ClotCast Episode 8 – What Are Platelets?
-
Aug 24, 2026, 17:11Kristin Neves: Which Hematologic Parameters Guide Your PV Treatment Decisions?
-
Aug 24, 2026, 17:00Should Hormone Therapy Automatically Stop After a Thrombosis? – Thrombosis Canada