IMAGENDO study

IMAGENDO study has been a member of Linktree for 3 years and joined in June 2023. The social media accounts linked to from IMAGENDO study are: • Facebook • Instagram • Email • X Besides social media accounts, imagendo has populated their site with: • Who Fails Where? LLM and Human Error Patterns in Endometriosis Ultrasound Report Extraction • An online cross-section survey exploring the training needs of healthcare professionals learning to perform transvaginal ultrasound for endometriosis: Does artificial intelligence have a role to play? - ScienceDirect • The problem with the ‘truth’: rethinking ground truth for artificial intelligence in endometriosis diagnosis • Development of a Novel Machine Learning Model for Automatic Assessment of Quality of Transvaginal Ultrasound Images From Multi‐Annotator Labels - Deslandes - 2025 - Australasian Journal of Ultrasound in Medicine - Wiley Online Library • IDEA Consensus • Simplified eTVUS • How to perform an ultrasound to diagnose endometriosis • Visit our Website • Our review: Part two! Access for FREE until March 23 • Meet our research team • Is surgery necessary for my endometriosis or ‘suspected’ endo? • Three years for diagnosis — even when she knew what was wrong • Radio Health Journal Podcast with Dr Jodie Avery • IMAGENDO reported by ABC news- read the story! • IMAGENDO reported by ABC news- watch the story! • Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis • Global trends in the uptake of specialist diagnostic ultrasound and MRI scans for endometriosis: An international cross‐sectional survey - Avery - International Journal of Gynecology & Obstetrics - Wiley Online Library • Yuan Zhang and IMAGENDO in Computer Vision News • Are sonographers the future 'gold standard' in the diagnosis of endometriosis? • Human–AI collaborative multi-modal multi-rater learning for endometriosis diagnosis • Intra- and interobserver agreement of proposed objective transvaginal ultrasound image-quality scoring system for use in artificial intelligence algorithm development • Non-invasive diagnosis of endo: Part 2 • Non-invasive diagnosis of endo: Part 1 • AI as a teaching tool for gynae ultrasound • Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction • Deep Learning to diagnose POD obliteration with ultrasound