Abdullah Mohsin: Automated Detection of DVT Using Deep Learning and Doppler Ultrasound
Abdullah Mohsin, B. Tech Software Engineering Student and Active Researcher, shared a post on LinkedIn:
“Meeting with Egypt friend and discussion about the research related to diagnosis of DVT- Egypt, Ghiza.
DAIT (Deep Artificial Intelligence for Thrombosis) is an advanced diagnostic framework designed to automate the early detection of Deep Vein Thrombosis (DVT) using deep learning architectures.
By analyzing vascular ultrasound imaging—specifically focusing on vein compressibility, intraluminal echoes, and Color Doppler flow voids—the platform extracts complex spatial features to pinpoint acute and proximal thrombi with high precision.
This AI-driven approach minimizes operator dependency, accelerates diagnostic workflows in emergency and clinical settings, and provides crucial decision support to prevent life-threatening complications such as pulmonary embolism.”
Proceed to the video attached to the post.
Stay updated with Hemostasis Today.
-
May 25, 2026, 05:07The Dual Role of PAI-1 Mutations in Bleeding and Thrombotic Disorders – ICHCC
-
May 25, 2026, 05:04Fibrinogen αC Domain Lysines Drive Plasminogen Binding and Plasmin Generation – JTH
-
May 25, 2026, 04:50Gülşah Türkoğlu: An Encouraging Momentum Around the Adoption of Resolutions on Stroke Care at WHA79
-
May 25, 2026, 04:47Krishnakant Prasad: A Quick Clinical Review of Renal Papillary Necrosis
-
May 25, 2026, 04:40Rajiv Kumar Jain: World Health Assembly Adopts First-Ever Global Resolution on Stroke Prevention and Care
-
May 25, 2026, 04:23Sarfraz Ahmad: Diagnostic and Therapeutic Challenges in ICA Aneurysm Presenting With Epistaxis
-
May 24, 2026, 17:48Flora Peyvandi: Crucial Role of Placental ADAMTS13 in Perinatal Survival
-
May 24, 2026, 17:13Mahtab Mashayekhi: The Evolving Role of Red Blood Cell Exchange in the Management of SCD
-
May 24, 2026, 17:12Silvina Graña: Helping Families Better Understand Hemophilia and Daily Life With Bleeding Disorders