This article delves into the world of generative AI, a subset of deep learning that creates content based on various data and prompts, and its potential applications in obstetrics and gynecology. While generative AI has shown promise in simplifying administrative tasks, improving patient education, and aiding in medical research, it also poses significant challenges, including concerns over accuracy, incompleteness, and biases. According to Nichole Young-Lin, MD, MBA, FACOG, Women’s Health Clinical Lead at Google, generative AI models can provide more than 90% correct responses in the U.S. Medical Licensing Examination, but there is still much to be learned about its adoption in medicine. The article highlights the importance of understanding generative AI and its potential trade-offs, including privacy and security concerns, ethical and legal issues, and overreliance. Young-Lin emphasizes the need for healthcare providers to be at the forefront of this change and guide the development of generative AI to ensure it serves the best interests of patients and women’s health.
Generative AI in OB/GYN – Promise and Pitfalls
Generative AI is a subset of deep learning that can generate audio, video and other data.
1–2 minutes
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