Ang Li: New AI Model Streamlines VTE Detection from Full Clinical Notes
Ang Li, Assistant Professor of Hematology & Oncology, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, shared an exciting post on X:
”Tired of spending all day chart-reviewing to find acute venous thrombosis (PE/DVT)?
Try our validated VTE-BERT, a fine-tuned NLP AI model that extracts VTE outcomes from full clinical notes.”
Try the interactive demo.
Read the full article in the Journal of Thrombosis and Haemostasis.
Learn more, visit Ang Li Lab.
Title: Development and Validation of VTE-BERT Natural Language Processing Model for Venous Thromboembolism
Authors: Omid Jafari, Shengling Ma, Barbara D. Lam, Jun Y. Jiang, Emily Zhou, Mrinal Ranjan, Justine Ryu, Raka Bandyo, Arash Maghsoudi, Bo Peng, Christopher I. Amos, Abiodun Oluyomi, Nathanael R. Fillmore, Jennifer La, Ang Li
Latest scientific advancements in hematology featured in Hemostasis Today.
-
Oct 9, 2026, 14:13Jesus Ardila Novoa: Why the WHO’s Historic Essential Medicines List Decision Is Just the Beginning
-
Oct 9, 2026, 14:07Chokri Ben Lamine: Pain After Allogeneic Stem Cell Transplantation in Sickle Cell Disease
-
Oct 9, 2026, 13:55Chandler Purser: AABB 2026 Focuses on Transfusion Safety and Audit-Driven Practice Improvement
-
Oct 9, 2026, 13:48Maxime Dely: Raising Awareness for Blood Donation
-
Oct 9, 2026, 13:48Vera Ghali: Anemia in Myelofibrosis and Its Impact on Treatment Outcomes and Overall Survival
-
Oct 9, 2026, 13:32W David Freeman։ The Mechanical Penumbra in Intracerebral Hemorrhage and Its Potential for Tissue Recovery
-
Oct 9, 2026, 13:11Ayshathul Noora։ Carbetocin vs Oxytocin in Preventing Postpartum Hemorrhage
-
Oct 9, 2026, 13:07The Rebalanced Patient: New Therapies and New Thrombotic Risks in Hemophilia
-
Oct 9, 2026, 12:48Santiago Cepeda Chafla: CereBleed Simplifies Brain Hemorrhage Assessment