Jodie C Avery

No ORCID on file · 4 papers in corpus
article 2026
Unpaired multi-modal multi-label learning for detecting endometriosis signs
Artificial intelligence in medicine ·doi:10.1016/j.artmed.2026.103503

Endometriosis is a widespread gynecological disorder causing severe pain and infertility, with diagnosis currently relying on slow, costly, and risky laparoscopy. This highlights the critical need for non-invasive imaging diagnostics using …

article 2025
Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society ·doi:10.1016/j.compmedimag.2025.102575

Endometriosis is a serious multifocal condition that can involve various pelvic structures, with Pouch of Douglas (POD) obliteration being a significant clinical indicator for diagnosis. To circumvent the need for invasive diagnostic proced…

other 2024
Noninvasive diagnostic imaging for endometriosis part 1: a systematic review of recent developments in ultrasound, combination imaging, and artificial intelligence
Fertility and sterility ·doi:10.1016/j.fertnstert.2023.12.008

Endometriosis affects 1 in 9 women and those assigned female at birth. However, it takes 6.4 years to diagnose using the conventional standard of laparoscopy. Noninvasive imaging enables a timelier diagnosis, reducing diagnostic delay as we…

review 2023
Noninvasive diagnostic imaging for endometriosis part 2: a systematic review of recent developments in magnetic resonance imaging, nuclear medicine and computed tomography
Fertility and sterility ·doi:10.1016/j.fertnstert.2023.12.017

Endometriosis affects 1 in 9 women, taking 6.4 years to diagnose using conventional laparoscopy. Non-invasive imaging enables timelier diagnosis, reducing diagnostic delay, risk and expense of surgery. This review updates literature explori…