Review

Artificial Intelligence in Clinical and Surgical Gynecology

Number: 21 January 5, 2024
EN TR

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

Supporting Institution

Yok

References

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Details

Primary Language

English

Subjects

Clinical Sciences

Journal Section

Review

Early Pub Date

January 8, 2024

Publication Date

January 5, 2024

Submission Date

May 2, 2023

Acceptance Date

December 5, 2023

Published in Issue

Year 2023 Number: 21

APA
Polat, G., & Arslan, H. K. (2024). Artificial Intelligence in Clinical and Surgical Gynecology. Istanbul Gelisim University Journal of Health Sciences, 21, 1232-1241. https://doi.org/10.38079/igusabder.1291375
AMA
1.Polat G, Arslan HK. Artificial Intelligence in Clinical and Surgical Gynecology. IGUSABDER. 2024;(21):1232-1241. doi:10.38079/igusabder.1291375
Chicago
Polat, Gülseren, and Hatice Kübra Arslan. 2024. “Artificial Intelligence in Clinical and Surgical Gynecology”. Istanbul Gelisim University Journal of Health Sciences, nos. 21: 1232-41. https://doi.org/10.38079/igusabder.1291375.
EndNote
Polat G, Arslan HK (January 1, 2024) Artificial Intelligence in Clinical and Surgical Gynecology. Istanbul Gelisim University Journal of Health Sciences 21 1232–1241.
IEEE
[1]G. Polat and H. K. Arslan, “Artificial Intelligence in Clinical and Surgical Gynecology”, IGUSABDER, no. 21, pp. 1232–1241, Jan. 2024, doi: 10.38079/igusabder.1291375.
ISNAD
Polat, Gülseren - Arslan, Hatice Kübra. “Artificial Intelligence in Clinical and Surgical Gynecology”. Istanbul Gelisim University Journal of Health Sciences. 21 (January 1, 2024): 1232-1241. https://doi.org/10.38079/igusabder.1291375.
JAMA
1.Polat G, Arslan HK. Artificial Intelligence in Clinical and Surgical Gynecology. IGUSABDER. 2024;:1232–1241.
MLA
Polat, Gülseren, and Hatice Kübra Arslan. “Artificial Intelligence in Clinical and Surgical Gynecology”. Istanbul Gelisim University Journal of Health Sciences, no. 21, Jan. 2024, pp. 1232-41, doi:10.38079/igusabder.1291375.
Vancouver
1.Gülseren Polat, Hatice Kübra Arslan. Artificial Intelligence in Clinical and Surgical Gynecology. IGUSABDER. 2024 Jan. 1;(21):1232-41. doi:10.38079/igusabder.1291375

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