Purpose Of Review: The Cancer Genome Atlas identified four distinct molecular subtypes of endometrial cancer (EC): POLE mutated, mismatch repair deficient (dMMR), copy number low, and copy number high. The goal of this review is to summarize the profound clinical implications of molecular subtyping, particularly in guiding treatment decisions for dMMR and microsatellite instability high (MSI-H) EC.
Recent Findings: Clinical trials have demonstrated the remarkable efficacy of immunotherapy in dMMR/MSI-H EC tumors.
Objective: Artificial Intelligence (AI) systems such as ChatGPT can take medical examinations and counsel patients regarding medical diagnosis. We aim to quantify the accuracy of the ChatGPT V3.4 in answering commonly asked questions pertaining to genetic testing and counseling for gynecologic cancers.
View Article and Find Full Text PDFBackground: Ovarian cancer remains the deadliest of the gynecologic cancers in the United States. There have been limited advances in treatment strategies that have seen marked increases in overall survival. Thus, it is essential to continue developing and validating new treatment strategies and markers to identify patients who would benefit from the new strategy.
View Article and Find Full Text PDFObjective: To quantify the accuracy of ChatGPT in answering commonly asked questions pertaining to cervical cancer prevention, diagnosis, treatment, and survivorship/quality-of-life (QOL).
Methods: ChatGPT was queried with 64 questions adapted from professional society websites and the authors' clinical experiences. The answers were scored by two attending Gynecologic Oncologists according to the following scale: 1) correct and comprehensive, 2) correct but not comprehensive, 3) some correct, some incorrect, and 4) completely incorrect.