The doc versus the bot: A pilot study to assess the quality and accuracy of physician and chatbot responses to clinical questions in gynecologic oncology.

Artificial intelligence (AI) applications to medical care are currently under investigation. We aimed to evaluate and compare the quality and accuracy of physician and chatbot responses to common clinical questions in gynecologic oncology. In this cross-sectional pilot study, ten questions about the knowledge and management of gynecologic cancers were selected.

Image analysis Uncovers associations between immune landscape, collagen structure, and neoadjuvant chemotherapy in high-grade serous ovarian carcinomas.

Background: The changes in the tumor microenvironment of high-grade serous ovarian carcinomas following neoadjuvant chemotherapy are a complex area of study. Previous research underscores the importance of investigating the immune and collagen components within the tumor microenvironment for prognostic implications.

Methods: In this study, we utilized computational pathology techniques with Hematoxylin and Eosin-stained images to quantitatively characterize the immune and collagen architecture within the tumor microenvironment of patients with high-grade serous ovarian carcinoma.

Maximizing ovarian function and fertility following chemotherapy in premenopausal patients: Is there a role for ovarian suppression?

As more premenopausal patients undergo fertility preserving cancer treatments, there is an increased need for fertility counseling and ovarian sparing strategies. Many patients receive gonadotoxic chemotherapeutic agents which can put them at risk of primary ovarian insufficiency or profoundly diminished ovarian reserve. Traditionally, estradiol and follicle stimulating hormone (FSH) values have been used to evaluate ovarian function but more recently, reproductive endocrinologists have been proponents of anti-mullerian hormone (AMH) as a validated measure of ovarian potential.