توسعه هوش مصنوعی در مراقبت های دوران بارداری: ضعف ها و چالش های کلیدی
کد: G-1797
نویسندگان: Fereshteh Behmanesh * ℗
زمان بندی: زمان بندی نشده!
برچسب: دستیار مجازی هوشمند
دانلود: دانلود پوستر
خلاصه مقاله:
خلاصه مقاله
Background and aims: Artificial intelligence is transforming healthcare by analyzing big data and offering novel insights. In pregnancy, AI can effectively monitor maternal and fetal health, potentially preventing complications and enhancing care quality. However, careful consideration of existing limitations is crucial when deploying this technology in such a sensitive context. Despite the promising outlook, the integration of AI in pregnancy care raises ethical, legal, and social implications. Method: This review study analyzed articles published between 2015 and 2025 on artificial intelligence in pregnancy care, sourced from Google Scholar, PubMed, and Science Direct. Results: Technical Weaknesses and Challenges: Data quality and availability are limited in the pregnancy domain due to privacy concerns, incomplete datasets, and lack of population diversity, hindering model development. This can lead to poor generalizability across diverse populations and clinical settings. Ethical and Legal Challenges: - Informed Consent: Obtaining explicit and transparent consent is crucial when using pregnant women's medical data. - Privacy: Due to the sensitive nature of pregnancy information, its disclosure poses significant privacy risks. Liability: The legal responsibility for AI errors or misdiagnoses remains undefined. Clinical and Cultural Hurdles: - Physician Hesitancy: Obstetricians and gynecologists often lack confidence in AI's reliability. - Absent Clinical Standards: Standardized guidelines for AI integration in prenatal care are needed. - Varying Societal Acceptance: Cultural perspectives on pregnancy influence the adoption of new technologies. Conclusion: Overcoming challenges through comprehensive data, interpretable models, ethical frameworks, and healthcare professional training is crucial for effectively leveraging AI in prenatal care. Addressing these barriers will unlock AI's potential to significantly improve maternal and fetal health.
کلمات کلیدی
Artificial Intelligence, Pregnancy, Prenatal Care, Challenges
