Next Gen in 10: The Endometriosis Pain Index and the Future of Surgical Care

Can we better predict who will benefit from endometriosis surgery? In this episode, Sabrina speaks with Dr. Dwayne Tucker about developing the Endometriosis Pain Index — a machine learning–based tool designed to help guide surgical decision-making and set realistic expectations for pain outcomes. From predictive modelling to patient-centred care, this conversation explores how data can transform how we approach endometriosis treatment.🎧 Listen now wherever you get your podcasts.#Endometriosis #WomensHealth #SurgicalCare #HealthResearch #NextGenIn10ResourcesEndometriosis pain index: development of a model to predict poor pain-related quality of life after endometriosis surgery through machine learning analysis of registry data https://journals.lww.com/pain/fulltext/9900/endometriosis_pain_index__development_of_a_model.1125.aspxPelvic pain comorbidities associated with quality of life after endometriosis surgery https://pubmed.ncbi.nlm.nih.gov/37148956/Somatic PTEN and ARID1A loss and endometriosis disease burden: a longitudinal study https://pubmed.ncbi.nlm.nih.gov/39701665/Assessing the Utility of artificial intelligence in endometriosis: Promises and pitfalls https://pubmed.ncbi.nlm.nih.gov/38686828/For more information on the Gynecologic Cancer Initiative, please visit https://gynecancerinitiative.ca/ or email us at [email protected]  Where to learn more about us:  Twitter – @GCI_Cluster Instagram – @gynecancerinitiative Facebook – facebook.com/gynecancerinitiativeTikTok – @gci_gosh