Unlocking the potential of artificial intelligence in reproductive medicine: a bibliometric analysis from 1999 to 2024
Author:
Funder
Zhejiang University Student Science and Technology Innovation Activity Plan
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10815-024-03251-1.pdf
Reference5 articles.
1. Hashimoto DA, Witkowski E, Gao L, Meireles O, Rosman G. Artificial intelligence in anesthesiology: current techniques, clinical applications, and limitations. Anesthesiology. 2020;132:379–94.
2. Lee R, Chu CYC. Reproduction and production in a social context: group size, reproductive skew and increasing returns. Ecol Lett. 2023;26:219–31.
3. Dey SK. How we are born. J Clin Invest. 2010;120:952–5.
4. Jiang S, Liu Y, Zheng H, Zhang L, Zhao H, Sang X, et al. Evolutionary patterns and research frontiers in neoadjuvant immunotherapy: a bibliometric analysis. Int J Surg. 2023;109:2774–83.
5. Arian SE, Hessami K, Khatibi A, To AK, Shamshirsaz AA, Gibbons W. Endometrial receptivity array before frozen embryo transfer cycles: a systematic review and meta-analysis. Fertil Steril. 2023;119:229–38.
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