Scott Young

Artificial intelligence (AI) may have the potential to improve existing diagnostic challenges in endometriosis imaging. To better direct future research, this descriptive review summarizes the general landscape of AI applications in endomet…

Endometriosis presents a common and significant health burden affecting approximately 1 in 10 reproductive age patients who are assigned female at birth. Recently guidelines have begun shifting away from laparoscopy as the first-line diagno…

OBJECTIVE: In patients with endometriosis, extra pelvic endometriosis is estimated to have an incidence of 11% and a rare subset of extra pelvic lesions include abdominal wall endometriosis with an incidence of 0.03% to 3.5% [1,2]. Evaluati…