کاربردهای هوش مصنوعی در رشته تخصصی زنان و زایمان
کد: G-1063
نویسندگان: Tayeb Ramim * ℗
زمان بندی: زمان بندی نشده!
برچسب: سیستم های تصمیم یار بالینی
دانلود: دانلود پوستر
خلاصه مقاله:
خلاصه مقاله
Background and aims: Artificial intelligence (AI) is revolutionizing Obstetrics, Gynecology, and Reproductive Medicine by offering innovative tools to diagnose and treat conditions related to pregnancy, childbirth, and women's reproductive health. These AI-powered solutions leverage machine learning algorithms to analyze large datasets, enabling earlier detection of potential complications, personalized treatment plans, and improved patient outcomes. This represents a significant advancement in medical care, providing greater accuracy, efficiency, and precision. Method: AI-powered tools use advanced algorithms and machine learning to process and analyze vast amounts of data. They assist healthcare professionals in identifying early signs of complications, tracking fetal development, monitoring maternal health, and detecting abnormalities or high-risk factors. Additionally, AI systems analyze patient-specific data to help develop personalized treatment plans tailored to individual needs and medical histories. Results: The integration of AI in Obstetrics and Gynecology has shown remarkable potential in enhancing diagnostic accuracy and treatment efficiency. By enabling early detection of complications and providing data-driven insights, AI tools improve patient outcomes. Furthermore, the ability to create personalized treatment plans ensures that care is tailored to each patient's unique needs, optimizing therapeutic effectiveness and reducing risks. Conclusion: AI-powered tools are transforming women's healthcare by equipping professionals with advanced capabilities to improve patient outcomes and deliver personalized care. These innovations enhance the accuracy, efficiency, and precision of diagnoses and treatments, marking a significant step forward in Obstetrics, Gynecology, and Reproductive Medicine.
کلمات کلیدی
Artificial Intelligence, Obstetrics, Gynecology, Reproductive Medicine
