Gynecologic (GYN) malignancies are gaining new and much-needed attention, perpetually
fueling literature. Intra-/inter-tumor heterogeneity and “frightened” global distribution by race …

Rationale and Objectives The introduction of AI in radiology has prompted both excitement
and hesitation within the field. We performed a systematic review of original studies …

Background To develop a deep learning model to classify primary bone tumors from
preoperative radiographs and compare performance with radiologists. Methods A total of …

Fibroids of the uterus are a common benign tumor affecting women of childbearing age.
Uterine fibroids (UF) can be effectively treated with earlier identification and diagnosis. Its …

To evaluate and holistically treat the mental health sequelae and potential psychiatric
comorbidities associated with obstetric and gynaecological conditions, it is important to …

Endometrial polyps are common gynecological lesions. The standard treatment for this
condition is hysteroscopic polypectomy. However, this procedure may be accompanied by …

Uterine fibroids and adenomyosis are prevalent benign neoplasms that can lead to serious
deleterious health effects including life-threatening anemia, prolonged menses, and pelvic …

Convolutional neural network (CNN), a class of deep neural network, takes images as input
and automatically extracts features for effective class prediction. The performance of CNN …

Rationale and Objectives This study aimed to address the challenge of predicting treatment
outcomes for patients with uterine fibroids undergoing high-intensity focused ultrasound …

Uterine artery embolization (UAE) has been shown to be a safe and effective treatment for
symptomatic uterine fibroids, with over 25 years of supporting data. Although UAE is a well …