1. World Health Organization. Global prevalence of infertility,infecundity, and childlessness. 2021;(123):4-8
2. Ombelet W, Van Robays J. Artificial insemination history: hurdlesand milestones.Facts Views Vis Obgyn. 2015;7(2):137-143.
3. Doudna JA, Charpentier E. Genome editing. The newfrontier of genome engineering with CRISPR-Cas9.Science.2014;346(6213):1258096. doi: 10.1126/science.1258096
4. Rolfes V, Bittner U, Gerhards H, et al. Artificial intelligencein reproductive medicine-an ethical perspective.GeburtshilfeFrauenheilkd. 2023;83(1):106-115. doi: 10.1055/a-1866-2792
5. World Health Organization. Infertility Definitions andTerminology. 2020;(35):2735-2745
6. Jinek M, Chylinski K, Fonfara I, Hauer M, Doudna JA,Charpentier E. A programmable dual-RNA-guided DNAendonuclease in adaptive bacterial immunity.Science.2012;337(6096):816-821.
7. Zhu P, Wu F, Mosenson J, Zhang H, He TC, Wu WS. CRISPR/Cas9-mediated genome editing corrects dystrophin mutationin skeletal muscle stem cells in a mouse model of muscledystrophy.Mol Ther Nucleic Acids. 2017;(7):31-41. doi: 10.1016/j.omtn.2017.02.007
8. Ma H, Marti-Gutierrez N, Park SW, et al. Correction ofa pathogenic gene mutation in human embryos.Nature.2017;548(7668):413-419. doi: 10.1038/nature23305
9. National Academies of Sciences, Engineering, and Medicine;National Academy of Medicine; National Academy of Sciences;Committee on Human Gene Editing: Scientific, Medical, andEthical Considerations. Human Genome Editing: Science, Ethics,and Governance. National Academies Press. 2017;(14):28796468.
10. Fu Y, Foden JA, Khayter C, et al. High-frequency off-targetmutagenesis induced by CRISPR-Cas nucleases in humancells.Nat Biotechnol. 2013;31(9):822-826. doi: 10.1038/nbt.2623
11. Lin B, Ma Y, Wu S. Multi-omics and artificial intelligence-guided data integration in chronic liver disease: prospects andchallenges for precision medicine.OMICS. 2022;26(8):415-421.doi: 10.1089/omi.2022.0079
12. Medenica S, Zivanovic D, Batkoska L, et al. The future iscoming: artificial intelligence in the treatment of infertility couldimprove assisted reproduction outcomes-the value of regulatoryframeworks.Diagnostics. 2022;12(12):2979. doi: 10.3390/diagnostics12122979
13. Hanassab S, Abbara A, Yeung AC, et al. The prospect of artificialintelligence to personalize assisted reproductive technology.NPJDigit Med. 2024;7(1):55. doi: 10.1038/s41746-024-01006-x
14. Si K, Huang B, Jin L. Application of artificial intelligence ingametes and embryos selection.Hum Fertil. 2023;26(4):757-777.
15. Wang R, Pan W, Jin L, et al. Artificial intelligence in reproductivemedicine.Reproduction. 2019;158(4):R139-R154. doi: 10.1530/REP-18-0523
16. Güell E. Criteria for implementing artificial intelligence systemsin reproductive medicine.Clin Exp Reprod Med. 2024;51(1):1-12.doi: 10.5653/cerm.2023.06009
17. Arnold MH. Teasing out artificial intelligence in medicine: anethical critique of artificial intelligence and machine learning inmedicine.J Bioeth Inq. 2021;18(1):121-139. doi: 10.1007/s11673-020-10080-1
18. Collins FS, Varmus H. A new initiative on precision medicine.NEngl J Med. 2015;372(9):793-795. doi:10.1056/NEJMp1500523
19. Ishii T. Reproductive medicine involving genome editing: clinicaluncertainties and embryological needs.Reprod Biomed Online.2017;34(1):27-31. doi: 10.1016/j.rbmo.2016.09.009
20. Morshedzadeh F, Ghanei M, Lotfi M, et al. An update on theapplication of CRISPR technology in clinical practice.MolBiotechnol. 2024;66(2):179-197. doi: 10.1007/s12033-023-00724-z
21. Ishii T. Germ line genome editing in clinics: the approaches,objectives and global society.Brief Funct Genomics. 2017;16(1):46-56. doi: 10.1093/bfgp/elv053
22. Ishii T. Reproductive medicine involving genome editing: clinicaluncertainties and embryological needs.Reprod Biomed Online.2017;34(1):27-31. doi: 10.1016/j.rbmo.2016.09.009
23. Wang YL, Gao S, Xiao Q, et al. Role of artificial intelligence indigital pathology for gynecological cancers.Comput StructBiotechnol J. 2024;24:205-212. doi: 10.1016/j.csbj.2024.03.007
24. van Dijke I, Lakeman P, Mathijssen IB, Goddijn M, Cornel MC,Henneman L. How will new genetic technologies, such as geneediting, change reproductive decision-making? Views of high-risk couples.Eur J Hum Genet. 2021;29(1):39-50. doi: 10.1038/s41431-020-00706-8
25. Knoppers BM, Kleiderman E. “CRISPR babies”: what does thismean for science and Canada?CMAJ. 2019;191(4):E91-E92.
26. Khan B, Fatima H, Qureshi A, et al. Drawbacks of artificialintelligence and their potential solutions in the healthcaresector.Biomed Mater Devices. 2023;1(2):731-738. doi: 10.1007/s44174-023-00063-2