Artificial Intelligence in Clinical and Surgical Gynecology
Öz
Anahtar Kelimeler
Destekleyen Kurum
Kaynakça
- 1. KLAS: Artificial Intelligence Success Requires Partnership, Training. http://healthitanalytics.com/news/klas-artificial-intelligence-success-requires-partnership-training 2019 .Jan 2020
- 2. Moawad G, Tyan P, Louie M. Artificial intelligence and augmented reality in gynecology. Curr Opin Obstet Gynecol. 2019;31:345–348.
- 3. Cavalera F, Zanoni M, Merico V, et al. Neural network-based identification of developmentally competent or incompetent mouse fully-grown oocytes. Journal of Visualized Experiments. 2018;133:56668.
- 4. Goodson SG, White S, Stevans AM, Bhat S, et al. CASAnova: A multiclass support vector machine model for the classification of human sperm motility patterns. Biology of Reproduction. 2017;97(5):698–708.
- 5. Girela JL, Gil D, Johnsson M, Gomez-Torres MJ, Juan JD. Semen parameters can be predicted from environmental factors and lifestyle using artificial intelligence methods. Biology of Reproduction. 2013;88(4):99.
- 6. Akınsal EA, Haznedar B, Baydilli N, Kalinli A, Oztürk A, Ekmekçioğlu O. Artificial neural network for the prediction of chromosomal abnormalities in azoospermic males. Urology Journal. 2018;15(3):122-125.
- 7. Saeedi P, Yee D, Au J, Havelock J. Automatic identification of human blastocyst components via texture. IEEE Transactions on Bio-Medical Engineering. 2017;64(12):2968–2978.
- 8. Bendus AEB, Mayer JF, Shipley SK, Catherino WH. Interobserver and intraobserver variation in day 3 embryo grading. Fertility and Sterility. 2006;86(6):1608–1615.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Klinik Tıp Bilimleri
Bölüm
Derleme
Yazarlar
Gülseren Polat
*
0000-0002-5654-7967
Türkiye
Erken Görünüm Tarihi
8 Ocak 2024
Yayımlanma Tarihi
5 Ocak 2024
Gönderilme Tarihi
2 Mayıs 2023
Kabul Tarihi
5 Aralık 2023
Yayımlandığı Sayı
Yıl 2023 Sayı: 21
Cited By
An AI-Driven Clinical Decision Support Framework Utilizing Female Sex Hormone Parameters for Surgical Decision Guidance in Uterine Fibroid Management
Medicina
https://doi.org/10.3390/medicina62010001