Abstract:
Context: Chronic pelvic pain in women is defined as intermittent or constant pain in the lower abdomen or pelvis for six months or more and affects more than 24% of women worldwide. National recommendations from the United Kingdom, Japan, the United States, and Canada recommend conservative treatment as the first-line approach for chronic pelvic pain, including stress relief, dietary modification, exercise, musculoskeletal physiotherapy, and psychological support. Therefore, this research aims to evaluate how artificial intelligence can help women manage pain by encouraging regular physical activity through monitored exercises.
Keywords: pelvic pain, chronic pain, physical exercise, artificial intelligence
Biography:
Dr. Fabiola Soares Moreira Campos is a dedicated medical professional with extensive expertise in Gynecology and Obstetrics. She earned her medical degree from the University of Vale do Sapucai (UNIVAS) in 2007 and has since held several prominent positions in the field. She currently serves as a gynecologist at Santa Paula Hospital and Maternity and as an assistant physician in the High-Risk Prenatal department at the Samuel Libanio Hospital. In addition, she coordinates the minimally invasive surgery sector at Samuel Libanio Hospital and lectures in Gynecology and Obstetrics at UNIVAS. Dr. Campos is also pursuing a PhD in Health Sciences at the University of Vale do Sapucai. Her academic background includes postgraduate training in Minimally Invasive Surgery from Sirio Libanes Hospital and a Master’s degree in Applied Health Sciences, with a focus on wound care, from UNIVAS.
