Chat Generative Pre-trained Transformer: why we should embrace this technology.

With the advent of artificial intelligence that not only can learn from us but also can communicate with us in plain language, humans are embarking on a brave new future. The interaction between humans and artificial intelligence has never been so widespread. Chat Generative Pre-trained Transformer is an artificial intelligence resource that has potential uses in the practice of medicine. As clinicians, we have the opportunity to help guide and develop new ways to use this powerful tool. Optimal use of any tool requires a certain level of comfort. This is best achieved by appreciating its power and limitations. Being part of the process is crucial in maximizing its use in our field. This clinical opinion demonstrates the potential uses of Chat Generative Pre-trained Transformer for obstetrician-gynecologists and encourages readers to serve as the driving force behind this resource.

The Value of Anti-Müllerian Hormone in Predicting Clinical Pregnancy After Intrauterine Insemination.

OBJECTIVES: To evaluate the utility of anti-Müllerian hormone (AMH) in predicting clinical pregnancy with intrauterine insemination (IUI) and compare it to other markers of quantitative ovarian reserve. METHODS: Retrospective cohort study of women undergoing natural and stimulated IUI cycles. All patients achieved a clinical pregnancy within three IUI cycles or completed three IUI cycles without pregnancy. Receiver operating curves were generated to determine the ability of AMH, antral follicle count, age, BMI, and day 3 FSH to predict clinical pregnancy with IUI. Characteristics of those with and without pregnancy were compared using Mann-Whitney U, chi-square, and Fisher exact tests. RESULTS: Of 209 women included, 49% achieved clinical pregnancy. Pregnant patients were more likely to have a higher AMH (2.76 vs. 1.55 ng/mL, P = 0.0004). The area under the curve was 0.642 in predicting clinical pregnancy within three IUI cycles using AMH (0.608 if excluding polycystic ovarian syndrome patients); 0.639 using antral follicle count; 0.549 using age; 0.599 using day 3 FSH; and 0.639 using BMI. CONCLUSION: Although serum AMH appears significantly higher in women achieving clinical pregnancy, the predictive value of AMH alone was no better than that for other markers of quantitative ovarian reserve in a patient who clinically qualifies for IUI.

Antibodies to prostate-specific antigen in immunoinfertile women and men.

Immunoinfertility is caused by antisperm antibodies (ASA) present in the female or male partner of an infertile couple. PSA is a serine protease produced primarily by the prostate gland and is present in human semen. Although the modulation of PSA has been investigated in prostate abnormalities, its role and effect of its dysfunction on human fertility has not been examined. The present study was conducted to examine the presence and incidence of antibodies to PSA in sera of immunoinfertile women and men. The presence of iso- and autoantibodies in the sera of immunoinfertile patients was examined using the well-characterized purified human PSA and seminal plasma from normal fertile men in ELISA. Sera were collected from infertile women (n=25) and infertile men (n=19) who were positive for ASA. Sera from ASA-negative fertile women (n=24) and fertile men (n=19) served as controls. In women, sera from 40% of the immunoinfertile women showed positive reactivity with PSA, and 20% reacted positively with seminal plasma. None of the sera from fertile women reacted positively with PSA or seminal plasma. In men, sera from 16% of the immunoinfertile men showed positive reactivity with PSA, and none (0%) with seminal plasma. None of the sera from fertile men reacted positively with PSA or seminal plasma. This is the first study to examine the presence and incidence of PSA antibodies in immunoinfertile women and men. The findings may have clinical application in the specific diagnosis and treatment of immunoinfertility in humans.