The review explores the transformative impact of artificial intelligence (AI) in obstetrics and gynecology (OB/GYN), highlighting its potential to improve diagnostic accuracy, treatment, and management. However, the integration of AI into clinical practice faces several challenges, including data security, infrastructure overhaul, staff education, and ethical considerations. Ensuring patient information is protected from breaches and misuse, in compliance with laws like HIPAA, is a major concern.
Implementing AI requires significant changes to clinical practices, such as investing in new infrastructure and training medical staff to use AI systems effectively. Ethical issues like informed consent, transparency, and potential biases in AI algorithms must also be carefully managed to maintain patient trust and ensure equitable treatment. Ongoing efforts are needed to develop AI systems that are secure and user-friendly while promoting ethical AI use through transparent practices and thorough stakeholder engagement.
Key Takeaways
AI is revolutionizing women's healthcare by enhancing diagnosis, treatment, and management of OB/GYN conditions through advanced imaging, predictive analytics, and personalized medicine.
Key advancements include AI-driven imaging, predictive models for preterm birth, preeclampsia management, and gestational diabetes monitoring.
AI applications in diagnostic imaging, such as ultrasound (US) and MRI, improve accuracy in identifying fetal anomalies and other conditions.
Predictive analytics using AI help in early identification and management of pregnancy-related complications, enhancing maternal and fetal outcomes.
Challenges include data security, integration into clinical practice, and ethical considerations, requiring adherence to privacy laws and ensuring equitable treatment.
Despite current limitations, the future integration of AI with genomic data holds promise for personalized medicine and continuous patient care in OB/GYN.
