Posts by Charles Bormann, PhD
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Single-Step Blastocyst Warming Validated, Saves Time Without Compromising Outcomes
Victoria S. Jiang, MD, Charles L. Bormann, PhD, and colleagues found that compared with standard blastocyst warming, a simpler protocol that removes at least 15 minutes from warming time yields similar rates of implantation, clinical pregnancy, spontaneous abortion, and live birth as well as similar birth weight.
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Ensuring Quality Care in the Assisted Reproductive Technology Laboratory With AI
Panagiotis Cherouveim, MD, Victoria S. Jiang, MD, Charles L. Bormann, PhD, and colleagues have demonstrated the accuracy and efficiency of using an artificial intelligence (AI)–based tool to monitor the performance of physicians and embryologists in a variety of procedures involved in assisted reproduction.
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AI System 100% Accurate in Tracking Identity of IVF Embryos
Victoria S. Jiang, MD, Charles L. Bormann, PhD, and colleagues created a robust artificial intelligence (AI)–based electronic witnessing platform that focuses on unique morphologic features specific to each individual embryo to ensure embryos are matched with the correct patient at every step of assisted reproduction.
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Home Semen Collection Feasible for Assisted Reproduction
Providing reassurance during the COVID-19 pandemic, Massachusetts General Hospital Fertility Center researchers found that neither home collection of semen samples nor delayed processing was negatively associated with sperm parameters or early outcomes of in vitro fertilization or intracytoplasmic sperm injection.
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Improving Infertility Outcomes Through Artificial Intelligence
Researchers are pioneering innovative AI-based methods to improve the precision of things like embryo selection and sperm morphology, which traditionally have relied upon visual inspection, human discernment and individual discretion to analyze cells and samples.
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Can a Smartphone App for Male Infertility Improve Fertility Care?
A smartphone app that conducts automated image analysis of sperm is poised to deliver accurate results, expand access to care and improve male infertility care.
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Smartphone-based System Automates Semen Sample Analysis
Fertility researchers have created an inexpensive, smartphone-based automated system for investigating male factor infertility.