Publications & News
IN PROGRESS: Q3 2022
ADVENT: A Multi-Site Study to Validate The Efficacy of ThinkSono AI-Guidance for Use By Non-Specialist Practitioners in the UK
Abstract: In Progress: A prospective clinical implementation of AutoDVT in hospital DVT patient assessment settings (under research license). Key endpoints under measurement include data collection pathway improvement, clinical pathway health economic assessment, and quality of data capture by non-specialist healthcare practitioners (e.g. nurses). Participating NHS trusts include Oxford, Leicester, Sheffield, King’s, Barts, Buckinghamshire, St. George’s, Surrey & Cardiff. Estimated completion: late 2022.
IN PROGRESS: Q3 2022
AutoDVT: Johns Hopkins Medicine – ThinkSono Joint Prospective Clinical Pathway and Economic Impact Validation Study
Abstract: In Progress: A US-based prospective clinical implementation and data collection project (under research license). Suspected DVT patients at Johns Hopkins facilities will undergo AutoDVT assesssment subject to appropriate pre-test screening. Key measured outcomes include proportion of patients diverted from traditional ultrasound workflow as well as accuracy of data collection by non-specialist practitioners. Estimated completion date: late 2022.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTIONS – 2018
AutoDVT: Joint Real-time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics.
Abstract: Abstract: We propose a dual-task convolutional neural network (CNN) to fully automate the real-time diagnosis of deep vein thrombosis (DVT). DVT can be reliably diagnosed through evaluation of vascular compressibility at anatomically defined landmarks in streams of ultrasound (US) images.
NATURE DIGITAL MEDICINE (NPJ) – 2021
Non-invasive Diagnosis of Deep Vein Thrombosis from Ultrasound with Machine Learning.
Abstract: Abstract: We train a deep learning algorithm on ultrasound videos from 246 healthy volunteers and evaluate on a sample size of 51 prospectively enrolled patients from an NHS DVT diagnostic clinic. 32 DVT-positive patients and 19 DVT-negative patients were included. Algorithmic DVT diagnosis results …