Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20031, first published .
Web- and Artificial Intelligence–Based Image Recognition For Sperm Motility Analysis: Verification Study

Web- and Artificial Intelligence–Based Image Recognition For Sperm Motility Analysis: Verification Study

Web- and Artificial Intelligence–Based Image Recognition For Sperm Motility Analysis: Verification Study

Journals

  1. Park M, Lim M, Park H, Park N. Accuracy comparison study of new smartphone-based semen analyzer versus laboratory sperm quality analyzer. Investigative and Clinical Urology 2021;62(6):672 View
  2. Gill M, Quaas A. Looking with new eyes: advanced microscopy and artificial intelligence in reproductive medicine. Journal of Assisted Reproduction and Genetics 2023;40(2):235 View
  3. Esteves S. Evolution of the World Health Organization semen analysis manual: where are we?. Nature Reviews Urology 2022;19(7):439 View
  4. Sarabi M, Yigci D, Alseed M, Mathyk B, Ata B, Halicigil C, Tasoglu S. Disposable paper-based microfluidics for fertility testing. iScience 2022;25(9):104986 View
  5. Baldi E, Gallagher M, Krasnyak S, Kirkman-Brown J, Apolikhin O, Barratt C, Festin M, Kiarie J, Lamb D, Mbizvo M, Schlatt S, Toskin I, Wang C. Extended semen examinations in the sixth edition of the WHO Laboratory Manual for the Examination and Processing of Human Semen: contributing to the understanding of the function of the male reproductive system. Fertility and Sterility 2022;117(2):252 View
  6. Liu K, Zhang Y, Martin C, Ma X, Shen B. Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine. International Journal of Molecular Sciences 2022;24(1):4 View
  7. GhoshRoy D, Alvi P, Santosh K. AI Tools for Assessing Human Fertility Using Risk Factors: A State-of-the-Art Review. Journal of Medical Systems 2023;47(1) View
  8. Jiang V, Bormann C. Artificial intelligence in the in vitro fertilization laboratory: a review of advancements over the last decade. Fertility and Sterility 2023;120(1):17 View
  9. Ghayda R, Cannarella R, Calogero A, Shah R, Rambhatla A, Zohdy W, Kavoussi P, Avidor-Reiss T, Boitrelle F, Mostafa T, Saleh R, Toprak T, Birowo P, Salvio G, Calik G, Kuroda S, Kaiyal R, Ziouziou I, Crafa A, Phuoc N, Russo G, Durairajanayagam D, Al-Hashimi M, Hamoda T, Pinggera G, Adriansjah R, Maldonado Rosas I, Arafa M, Chung E, Atmoko W, Rocco L, Lin H, Huyghe E, Kothari P, Solorzano Vazquez J, Dimitriadis F, Garrido N, Homa S, Falcone M, Sabbaghian M, Kandil H, Ko E, Martinez M, Nguyen Q, Harraz A, Serefoglu E, Karthikeyan V, Tien D, Jindal S, Micic S, Bellavia M, Alali H, Gherabi N, Lewis S, Park H, Simopoulou M, Sallam H, Ramirez L, Colpi G, Agarwal A. Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics. The World Journal of Men's Health 2024;42(1):39 View
  10. Si K, Huang B, Jin L. Application of artificial intelligence in gametes and embryos selection. Human Fertility 2023;26(4):757 View
  11. Gül M, Russo G, Kandil H, Boitrelle F, Saleh R, Chung E, Kavoussi P, Mostafa T, Shah R, Agarwal A. Male Infertility: New Developments, Current Challenges, and Future Directions. The World Journal of Men's Health 2024;42 View
  12. Panner Selvam M, Moharana A, Baskaran S, Finelli R, Hudnall M, Sikka S. Current Updates on Involvement of Artificial Intelligence and Machine Learning in Semen Analysis. Medicina 2024;60(2):279 View
  13. Peña F, Martín-Cano F, Becerro-Rey L, Ortega-Ferrusola C, Gaitskell-Phillips G, da Silva-Álvarez E, Gil M, Yeste M. The future of equine semen analysis. Reproduction, Fertility and Development 2024;36(6) View
  14. Pavlovic Z, Jiang V, Hariton E. Current applications of artificial intelligence in assisted reproductive technologies through the perspective of a patient's journey. Current Opinion in Obstetrics & Gynecology 2024 View

Books/Policy Documents

  1. Chu K, Tradewell M. Artificial Intelligence in Medicine. View
  2. Chu K, Tradewell M. Artificial Intelligence in Medicine. View
  3. Gupta R, Pedraza Bermeo A, Pandav K, Tewari A. Artificial Intelligence in Clinical Practice. View
  4. Das M, Minhas S, Henkel R. Male Infertility. View
  5. Pons-Rejraji H, Bendayan M, Boitrelle F. Male Infertility. View