Klinik ve Cerrahi Jinekolojide Yapay Zeka

Year 2023, Issue: 21, 1232 - 1241, 05.01.2024

Gülseren Polat , Hatice Kübra Arslan

https://doi.org/10.38079/igusabder.1291375

Abstract

Günümüzde klinisyenler, jinekolojinin çeşitli klinik ve cerrahi uygulamalarında karar vermede ve bilgilerinin arttırılmasında giderek artan oranlarda yapay zeka (AI) teknolojilerini kullanmaktadırlar. Hastalarla ilgili çok büyük miktarda klinik, tıbbi, biyolojik veri hızlı bilgisayar ağlarında karmaşık algoritmalar kullanarak işlenmekte ve matematiksel olarak modellemeler oluşturulmaktadır. Geliştirilen bu matematiksel modellemeler jinekolojik hastalıkların tanısında karşılaşılan zorlukların üstesinden gelme, tedavi yöntemlerinin kişisel değerlendirilmesi ve hasta sonuçlarının iyileştirilmesine olan katkılarıyla umut verici bir geleceğe sahip olduğumuzu göstermektedir. Klinik jinekoloji dalında sanal AI, jinekolojik malignitelerde, yardımlı üreme tekniklerinde, ürojinekolojide teşhis, tedavi algoritmaları ve sonuç tahminine yardımcı olmak için örüntü tanımayı kullanır. Jinekolojik cerrahi dalında fiziksel AI, operasyonlarda bilgisayar destekli veya robotik platformlar biçiminde arttırılmış gerçekliği birleştirerek kullanır. AI, klinik jinekolojide hasta sonuçlarını iyileştirmek için modern tıp uygulamalarına henüz tam dahil edilmemiştir.

Keywords

Yapay zeka, robotikcerrahi, jinekoloji

Artificial Intelligence in Clinical and Surgical Gynecology

Abstract

Clinicians have increasingly been using artificial intelligence (AI) to make decisions and to increase their knowledge in various clinical and surgical gynecological areas. A vast amount of clinical, medical, and biological patient data is processed in fast computer networks using complex algorithms to create mathematical modeling. The development of these mathematical models gives hope of a promising future with their contribution to overcoming the difficulties encountered in the diagnosis, individualization of treatment plans and improving patient outcomes. Virtual AI in clinical gynecology uses pattern recognition to aid diagnosis, plan treatment, and predict outcomes in gynecological malignancies, assisted reproductive techniques, and urogynecology. In gynecological surgery, physical AI combines augmented reality in operations in the form of computer-aided or robotic platforms. However, AI is yet to be fully incorporated into modern medical practice to improve patient outcomes in clinical gynecology.

Keywords

Artificial intelligence, roboticsurgery, gynecology

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