Related Experiment Video
Updated: Aug 6, 2026
08:58
Fluorimetric Techniques for the Assessment of Sperm Membranes
Published on: November 28, 2018
AI-based techniques in sperm detection
Laura C Gemmell1, Hemant Suryawanshi, Zev Williams
1Columbia University Irving Medical Center/Columbia University Fertility Center, New York, USA.
Current Opinion in Urology
|July 17, 2026
Summary
Artificial intelligence (AI) significantly enhances sperm detection for men with infertility. AI tools improve speed and accuracy, potentially enabling fertility treatment for more patients.
Area of Science:
- Reproductive Medicine
- Medical Imaging
- Artificial Intelligence
Background:
- Azoospermia and cryptozoospermia present challenges in identifying rare spermatozoa.
- Manual sperm detection is time-consuming and can be less sensitive.
Purpose of the Study:
- To review recent advancements in AI-assisted sperm detection.
- To explore the clinical applications of these emerging technologies.
Main Methods:
- Deep learning-based systems for image analysis.
- Augmented reality platforms for embryologist support.
- AI-integrated microfluidic systems for detection and isolation.
Main Results:
- AI improves the speed and sensitivity of sperm detection in various samples.
- Reduced search times and higher detection rates compared to manual methods.
- Early data suggest AI can identify sperm in previously negative cases.
Conclusions:
- AI-assisted sperm detection offers improved efficiency and reproducibility.
- Potential to enhance access to fertility treatments for severe male factor infertility.
- Further validation is needed, but AI, imaging, and microfluidics show transformative potential.
