메뉴 건너뛰기




Volumn 57, Issue 4, 2011, Pages 179-185

Artificial intelligence in IVF: A need

Author keywords

artificial intelligence; classification models; in vitro fertilization; IVF; neural networks

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; FERTILIZATION IN VITRO; HUMAN; INTRACYTOPLASMIC SPERM INJECTION; LEARNING VECTOR QUANTIZER; OUTCOME ASSESSMENT; PRIORITY JOURNAL; REGRESSION ANALYSIS; REVIEW; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TECHNIQUE;

EID: 80052116282     PISSN: 19396368     EISSN: 19396368     Source Type: Journal    
DOI: 10.3109/19396368.2011.558607     Document Type: Review
Times cited : (42)

References (50)
  • 2
    • 0347356260 scopus 로고    scopus 로고
    • Impact of repeated antral follicle counts on the prediction of poor ovarian response in women undergoing in vitro fertilization
    • DOI 10.1016/j.fertnstert.2003.06.011
    • Bancsi, L.F., Broekmans, F.J., Looman, C.W., Habbema, J.D. and te Velde, E.R. (2004) Impact of repeated antral follicle counts on the prediction of poor ovarian response in women undergoing in vitro fertilization. Fertil Steril 81:35-41. (Pubitemid 38058325)
    • (2004) Fertility and Sterility , vol.81 , Issue.1 , pp. 35-41
    • Bancsi, L.F.J.M.M.1    Broekmans, F.J.M.2    Looman, C.W.N.3    Habbema, J.D.F.4    Te Velde, E.R.5
  • 4
    • 33645788345 scopus 로고    scopus 로고
    • Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features
    • Cochand-Priollet, B., Koutroumbas, K., Megalopoulou, T.M., Pouliakis, A., Sivolapenk, G. and Karakitsos, P. (2006) Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features. Oncology Reports 15:1023-1026.
    • (2006) Oncology Reports , vol.15 , pp. 1023-1026
    • Cochand-Priollet, B.1    Koutroumbas, K.2    Megalopoulou, T.M.3    Pouliakis, A.4    Sivolapenk, G.5    Karakitsos, P.6
  • 5
    • 0033763139 scopus 로고    scopus 로고
    • Day 3 serum inhibin B and FSH and age as predictors of assisted reproduction treatment outcome
    • Creus, M., Penarrubia, J., Fabregues, F., Vidal, E., Carmona, F., Casamitjana, R., et al. (2000) Day 3 serum inhibin B and FSH and age as predictors of assisted reproduction treatment outcome. Hum Reprod 15:2341-2346.
    • (2000) Hum. Reprod. , vol.15 , pp. 2341-2346
    • Creus, M.1    Penarrubia, J.2    Fabregues, F.3    Vidal, E.4    Carmona, F.5    Casamitjana, R.6
  • 6
    • 0034333684 scopus 로고    scopus 로고
    • Stability problems with artificial neural networks and the ensemble solution
    • Cunningham, P., Carney, J. and Jacob, S. (2000) Stability problems with artificial neural networks and the ensemble solution. Artif Intell Med 20:217-225.
    • (2000) Artif. Intell. Med. , vol.20 , pp. 217-225
    • Cunningham, P.1    Carney, J.2    Jacob, S.3
  • 10
    • 84878720659 scopus 로고    scopus 로고
    • Outcome prediction for prostate cancer detection rate with artificial neural network ANN in daily routine
    • Epub aheadof print.
    • Ecke, T.H., Bartel, P., Hallmann, S., Koch, S., Ruttloff, J., Cammann, H., et al. (2010) Outcome prediction for prostate cancer detection rate with artificial neural network (ANN) in daily routine. Urol Oncol Epub ahead of print.
    • (2010) Urol. Oncol.
    • Ecke, T.H.1    Bartel, P.2    Hallmann, S.3    Koch, S.4    Ruttloff, J.5    Cammann, H.6
  • 11
    • 33745514305 scopus 로고    scopus 로고
    • Basal and cycle androgen levels correlate with in vitro fertilization stimulation parameters but do not predict pregnancy outcome
    • DOI 10.1016/j.fertnstert.2005.12.028, PII S0015028206005450
    • Frattarelli, J.L. and Gerber, M.D. (2006) Basal and cycle androgen levels correlate with in vitro fertilization stimulation parameters but do not predict pregnancy outcome. Fertil Steril 86:51-57. (Pubitemid 43962949)
    • (2006) Fertility and Sterility , vol.86 , Issue.1 , pp. 51-57
    • Frattarelli, J.L.1    Gerber, M.D.2
  • 12
    • 44449098752 scopus 로고    scopus 로고
    • Relevance of anti-Mullerian hormone measurement in a routine IVF program
    • DOI 10.1093/humrep/den108
    • Gnoth, C., Schuring, A.N., Friol, K., Tigges, J., Mallmann, P. and Godehardt, E. (2008) Relevance of anti-Mullerian hormone measurement in a routine IVF program. Hum Reprod 23:1359-1365. (Pubitemid 351770586)
    • (2008) Human Reproduction , vol.23 , Issue.6 , pp. 1359-1365
    • Gnoth, C.1    Schuring, A.N.2    Friol, K.3    Tigges, J.4    Mallmann, P.5    Godehardt, E.6
  • 14
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield, J.J. (1982) Neural networks and physical systems with emergent collective computational abilities, Proc. of the Nat. Acad. Of Sciences of the USA, 79:2554-2558.
    • (1982) Proc. of the Nat. Acad. Of Sciences of the USA , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 16
    • 0036079844 scopus 로고    scopus 로고
    • Proceedings of the International Joint Conference on Neural Networks Honolulu HI USA
    • Jiang, Y., Zhou, Z.-H. and Chen, Z.-Q. (2002) Rule Learning based on Neural Network Ensemble. Proceedings of the International Joint Conference on Neural Networks, Honolulu, HI, USA, 1416-1420.
    • (2002) Rule Learning based on Neural Network Ensemble , pp. 1416-1420
    • Jiang, Y.1    Zhou, Z.-H.2    Chen, Z.-Q.3
  • 20
    • 0030763240 scopus 로고    scopus 로고
    • The application of neural networks in predicting the outcome of in-vitro fertilization
    • DOI 10.1093/humrep/12.7.1454
    • Kaufmann, S.J., Eastaugh, J.L., Snowden, S., Smye, S.W. and Sharma, V. (1997) The application of neural networks in predicting the outcome of in-vitro fertilization. Hum Reprod 12:1454-1457. (Pubitemid 27373197)
    • (1997) Human Reproduction , vol.12 , Issue.7 , pp. 1454-1457
    • Kaufmann, S.J.1    Eastaugh, J.L.2    Snowden, S.3    Smye, S.W.4    Sharma, V.5
  • 21
  • 24
    • 34147136573 scopus 로고    scopus 로고
    • Ovarian volume and antral follicle count for the prediction of low and hyper responders with in vitro fertilization
    • Kwee, J., Elting, M.E., Schats, R., McDonnell, J. and Lambalk, C.B. (2007) Ovarian volume and antral follicle count for the prediction of low and hyper responders with in vitro fertilization. Reprod Biol Endocrinol 5:9.
    • (2007) Reprod. Biol. Endocrinol. , vol.5 , pp. 9
    • Kwee, J.1    Elting, M.E.2    Schats, R.3    McDonnell, J.4    Lambalk, C.B.5
  • 25
    • 80052131628 scopus 로고    scopus 로고
    • An application of artificial immune recognition system for prediction of diabetes following gestational diabetes
    • Epub ahead of print.
    • Lin, H.C., Su, C.T. andWang, P.C. (2009) An Application of Artificial Immune Recognition System for Prediction of Diabetes Following Gestational Diabetes. J Med Syst Epub ahead of print.
    • (2009) J. Med. Syst.
    • Lin, H.C.1    Su, C.T.2    Wang, P.C.3
  • 28
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • McCulloch,W. and Pitts,W. (1943) A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 7:115-133.
    • (1943) Bulletin of Mathematical Biophysics , vol.7 , pp. 115-133
    • McCulloch, W.1    Pitts, W.2
  • 29
    • 77649199478 scopus 로고    scopus 로고
    • Prognosis of the IVF ICSI ET procedure efficiency with the use of artificial neural networks among patients of the department of reproduction and gynecological endocrinology
    • Milewski, R., Jamiolkowski, J., Milewska Anna, J., Domitrz, J., Szamatowicz, J. and Wolczynski, S. (2009) Prognosis of the IVF ICSI/ET procedure efficiency with the use of artificial neural networks among patients of the Department of Reproduction and Gynecological Endocrinology. Ginekol Pol 80:900-906.
    • (2009) Ginekol. Pol. , vol.80 , pp. 900-906
    • Milewski, R.1    Jamiolkowski, J.2    Milewska Anna, J.3    Domitrz, J.4    Szamatowicz, J.5    Wolczynski, S.6
  • 32
    • 0023813299 scopus 로고
    • The value of basal and or stimulated serum gonadotropin levels in prediction of stimulation response and in vitro fertilization outcome
    • Muasher, S.J., Oehninger, S., Simonetti, S., Matta, J., Ellis, L.M., Liu, H.C., et al. (1988) The value of basal and/or stimulated serum gonadotropin levels in prediction of stimulation response and in vitro fertilization outcome. Fertil Steril 50:298-307.
    • (1988) Fertil Steril , vol.50 , pp. 298-307
    • Muasher, S.J.1    Oehninger, S.2    Simonetti, S.3    Matta, J.4    Ellis, L.M.5    Liu, H.C.6
  • 33
    • 77952675416 scopus 로고    scopus 로고
    • RetroPred: A tool for prediction classification and extraction of non-LTR retrotransposons LINEs & SINEs from the genome by integrating PALS PILER MEME and ANN
    • Naik, P.K., Mittal, V.K. and Gupta, S. (2008) RetroPred: A tool for prediction, classification and extraction of non-LTR retrotransposons (LINEs & SINEs) from the genome by integrating PALS, PILER, MEME and ANN. Bioinformation 2:263-270.
    • (2008) Bioinformation , vol.2 , pp. 263-270
    • Naik, P.K.1    Mittal, V.K.2    Gupta, S.3
  • 38
    • 0036289880 scopus 로고    scopus 로고
    • Use of the total motile sperm count to predict total fertilization failure in in vitro fertilization
    • DOI 10.1016/S0015-0282(02)03178-3, PII S0015028202031783
    • Repping, S., van Weert, J.M., Mol, B.W., de Vries, J.W. and van der Veen, F. (2002) Use of the total motile sperm count to predict total fertilization failure in in vitro fertilization. Fertil Steril 78:22-28. (Pubitemid 34722665)
    • (2002) Fertility and Sterility , vol.78 , Issue.1 , pp. 22-28
    • Repping, S.1    Van Weert, J.-M.2    Mol, B.W.J.3    De Vries, J.W.A.4    Van Der Veen, F.5
  • 39
    • 0031777254 scopus 로고    scopus 로고
    • Relationships between the developmental potential of human in-vitro fertilization embryos and features describing the embryo, oocyte and follicle
    • DOI 10.1093/humupd/4.2.121
    • Saith, R.R., Srinivasan, A., Michie, D. and Sargent, I.L. (1998) Relationships between the developmental potential of human invitro fertilization embryos and features describing the embryo, oocyte and follicle. Hum Reprod Update 4:121-134. (Pubitemid 28306291)
    • (1998) Human Reproduction Update , vol.4 , Issue.2 , pp. 121-134
    • Saith, R.R.1    Srinivasan, A.2    Michie, D.3    Sargent, I.L.4
  • 40
    • 0003565249 scopus 로고    scopus 로고
    • Combining artificial neural nets: Ensemble and modular multi-net systems
    • Springer-Verlag NY USA.
    • Sharkey, A.J.C. (1999) Combining artificial neural nets: ensemble and modular multi-net systems. Perspectives in neural computing, Springer-Verlag, NY, USA.
    • (1999) Perspectives in Neural Computing
    • Sharkey, A.J.C.1
  • 41
    • 6344243351 scopus 로고    scopus 로고
    • Artificial neural network ensembles and their application in pooled flood frequency analysis
    • Shu, C. and Burn, D.H. (2004) Artificial neural network ensembles and their application in pooled flood frequency analysis. Water Resources Research 40:1-10.
    • (2004) Water Resources Research , vol.40 , pp. 1-10
    • Shu, C.1    Burn, D.H.2
  • 43
    • 24944580848 scopus 로고    scopus 로고
    • Predicting in vitro fertilization live birth using stimulation day 6 estradiol, age, and follicle-stimulating hormone
    • DOI 10.1016/j.fertnstert.2005.02.042, PII S0015028205010435
    • Srouji, S.S., Mark, A., Levine, Z., Betensky, R.A., Hornstein, M.D. and Ginsburg, E.S. (2005) Predicting in vitro fertilization live birth using stimulation day 6 estradiol, age, and follicle-stimulating hormone. Fertil Steril 84:795-797. (Pubitemid 41317754)
    • (2005) Fertility and Sterility , vol.84 , Issue.3 , pp. 795-797
    • Srouji, S.S.1    Mark, A.2    Levine, Z.3    Betensky, R.A.4    Hornstein, M.D.5    Ginsburg, E.S.6
  • 44
    • 77951021833 scopus 로고    scopus 로고
    • A frequency based encoding technique for transformation of categorical variables in mixed IVF dataset
    • Uyar, A., Bener, A., Ciray, H. and Bahceci, M. (2009) A frequency based encoding technique for transformation of categorical variables in mixed IVF dataset. Conf Proc IEEE Eng Med Biol Soc 2009:6214-6217.
    • (2009) Conf. Proc. IEEE Eng. Med. Biol. Soc. 2009 , pp. 6214-6217
    • Uyar, A.1    Bener, A.2    Ciray, H.3    Bahceci, M.4
  • 45
    • 70350244608 scopus 로고    scopus 로고
    • Adjusting decision threshold in naive bayes based IVF embryo selection
    • Meeting Biyomut Izmir Turkey 2009. 14th National: 1-4 10.1109 BIYOMUT.2009.5130302
    • Uyar, A., Bener, A., Ciray, H.N. and Bahceci, M. (2009) Adjusting decision threshold in Naive Bayes based IVF embryo selection. Biomedical Engineering Meeting, BIYOMUT, Izmir, Turkey, 2009. 14th National:1-4. DOI: 10.1109/BIYOMUT.2009.5130302.
    • (2009) Biomedical Engineering
    • Uyar, A.1    Bener, A.2    Ciray, H.N.3    Bahceci, M.4
  • 47
    • 40049089917 scopus 로고    scopus 로고
    • The accuracy of multivariate models predicting ovarian reserve and pregnancy after in vitro fertilization: A meta-analysis
    • DOI 10.1093/humupd/dmn001
    • Verhagen, T.E., Hendriks, D.J., Bancsi, L.F., Mol, B.W. and Broekmans, F.J. (2008) The accuracy of multivariate models predicting ovarian reserve and pregnancy after in vitro fertilization: a metaanalysis. Hum Reprod Update 14:95-100. (Pubitemid 351321105)
    • (2008) Human Reproduction Update , vol.14 , Issue.2 , pp. 95-100
    • Verhagen, T.E.M.1    Hendriks, D.J.2    Bancsi, L.F.J.M.M.3    Mol, B.W.J.4    Broekmans, F.J.M.5
  • 49
    • 0025503558 scopus 로고
    • Backpropagation through time: What it does and how to do it
    • Werbos, P.J. (1990) Backpropagation through time: what it does and how to do it. Proceedings of the IEEE 78:1550-1560.
    • (1990) Proceedings of the IEEE , vol.78 , pp. 1550-1560
    • Werbos, P.J.1
  • 50
    • 80052105625 scopus 로고    scopus 로고
    • Morphological classification of sperm heads using artificial neural networks
    • 52 Pt
    • Yi, W.J., Park, K.S. and Paick, J.S. (1998) Morphological classification of sperm heads using artificial neural networks. Stud Health Technol Inform 52 Pt 2:1071-1074.
    • (1998) Stud Health Technol. Inform , vol.2 , pp. 1071-1074
    • Yi, W.J.1    Park, K.S.2    Paick, J.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.