Robotics and Artificial Intelligence for Reproductive Medicine
Published on 24. September 2025
300 pages
978-0-443-26746-8 (ISBN)
Description
Robotics and Artificial Intelligence for Reproductive Medicine provides fundamental principles underpinning robotic and AI techniques used for reproductive medicine. The book provides the state-of-the-art technical advances in clinical infertility treatment, along with the outlook on future challenges and opportunities of robotics and AI in reproductive medicine. It covers robotics, AI, computer vision, biomedical engineering, and reproductive medicine.
- Covers robotic techniques for microsurgeries of sperm, oocytes, embryos, and reproductive organs
- Summarizes and highlights state-of-the-art AI techniques in the diagnosis, decision- making, and personalization in reproductive medicine
- Provides insightful discussions on the generalization abilities and ethical issues of using robotic and AI systems in clinical reproductive medicine
More details
Other editions
Additional editions
Guanqiao Shan | Hang Liu | Zhuoran Zhang
Robotics and Artificial Intelligence for Reproductive Medicine
Book
09/2025
Academic Press
€166.50
Shipment within 15-20 days
Content
Part I: Robotics for reproductive medicine1. Introduction of robotics and AI in reproductive medicine2. Robotic manipulation of human sperm3. Robotic characterization of the mechanical properties in oocytes and embryos4. Robotic Intracytoplasmic sperm injection (ICSI)5. Robotic cell surgery for embryo biopsy6. Microrobots for embryo transfer7. Robot-assisted microsurgery for infertility treatmentPart II: Artificial intelligence (AI) for reproductive medicine8. Artificial intelligence for assessment and monitoring of follicles and endometrium9. Artificial intelligence for semen analysis and sperm selection10. Artificial intelligence for quality evaluation of oocytes and embryos11. Artificial intelligence for prediction of clinical outcomes in IVF12. Generalization of AI models for embryo selection using transfer learning13. AI-based point-of-care diagnosis and personalization of healthcare in reproductive medicine14. Genomic risk prediction of common diseases in preimplantation genetic testing15. Ethics of artificial intelligence in reproductive medicine
