This paper is in the following e-collection/theme issue:

Imaging Informatics (200) Artificial Intelligence (1421) New Methods (963) Telehealth and Telemonitoring (1713) Obstetrics, Gynecology, and Reproductive Medicine (235) mHealth for Diagnosis (63)

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

Authors of this article:

Vincent FS Tsai1, 2 Author Orcid Image ;   Bin Zhuang3 Author Orcid Image ;   Yuan-Hung Pong2, 4 Author Orcid Image ;   Ju-Ton Hsieh2 Author Orcid Image ;   Hong-Chiang Chang2 Author Orcid Image
Article Authors Cited by (23) Tweetations (2) Metrics

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
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  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(3):502 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;36(4):211 View
  15. Kobayashi H. Potential for artificial intelligence in medicine and its application to male infertility. Reproductive Medicine and Biology 2024;23(1) View
  16. Naik N, Roth B, Lundy S. Artificial Intelligence for Clinical Management of Male Infertility, a Scoping Review. Current Urology Reports 2025;26(1) 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
  6. Shah R, Saleh R, Boitrelle F, Agarwal A. Human Semen Analysis. View