Robotics and Artificial Intelligence for Reproductive Medicine
- 1st Edition - September 22, 2025
- Editors: Guanqiao Shan, Yu Sun, Hang Liu, Zhuoran Zhang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 6 7 4 5 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 6 7 4 6 - 8
Robotics and Artificial Intelligence for Reproductive Medicine provides fundamental principles underpinning robotic and AI techniques used for reproductive medicine. The book p… Read more
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
Researchers, Academics, and Professionals who are interested in robotic systems and AI techniques used for reproductive medicine
Part I: Robotics for reproductive medicine
1. Introduction of robotics and AI in reproductive medicine
2. Robotic manipulation of human sperm
3. Robotic characterization of the mechanical properties in oocytes and embryos
4. Robotic Intracytoplasmic sperm injection (ICSI)
5. Robotic cell surgery for embryo biopsy
6. Microrobots for embryo transfer
7. Robot-assisted microsurgery for infertility treatment
Part II: Artificial intelligence (AI) for reproductive medicine
8. Artificial intelligence for assessment and monitoring of follicles and endometrium
9. Artificial intelligence for semen analysis and sperm selection
10. Artificial intelligence for quality evaluation of oocytes and embryos
11. Artificial intelligence for prediction of clinical outcomes in IVF
12. Generalization of AI models for embryo selection using transfer learning
13. AI-based point-of-care diagnosis and personalization of healthcare in reproductive medicine
14. Genomic risk prediction of common diseases in preimplantation genetic testing
15. Ethics of artificial intelligence in reproductive medicine
1. Introduction of robotics and AI in reproductive medicine
2. Robotic manipulation of human sperm
3. Robotic characterization of the mechanical properties in oocytes and embryos
4. Robotic Intracytoplasmic sperm injection (ICSI)
5. Robotic cell surgery for embryo biopsy
6. Microrobots for embryo transfer
7. Robot-assisted microsurgery for infertility treatment
Part II: Artificial intelligence (AI) for reproductive medicine
8. Artificial intelligence for assessment and monitoring of follicles and endometrium
9. Artificial intelligence for semen analysis and sperm selection
10. Artificial intelligence for quality evaluation of oocytes and embryos
11. Artificial intelligence for prediction of clinical outcomes in IVF
12. Generalization of AI models for embryo selection using transfer learning
13. AI-based point-of-care diagnosis and personalization of healthcare in reproductive medicine
14. Genomic risk prediction of common diseases in preimplantation genetic testing
15. Ethics of artificial intelligence in reproductive medicine
- Edition: 1
- Published: September 22, 2025
- Language: English
GS
Guanqiao Shan
Dr. Guanqiao Shan is a Professor at Dalian University of Technology. His research interests include robotic cell manipulation and characterization, automation at micro-nano scales, intelligent control systems, and medical robotics. His research has been recognized by both the robotics and automation society and reproductive medicine society.
Affiliations and expertise
Professor at Dalian University of Technology, China.YS
Yu Sun
Dr. Yu Sun is a Professor at the University of Toronto. He holds a Tier I Canada Research Chair and is the founding Director of Robotic Institute at the University of Toronto. His Advanced Micro and Nanosystems Laboratory specializes in developing innovative robotic and AI technologies for reproductive medicine. His techniques have been applied in clinical centers from multiple countries.
Affiliations and expertise
Professor, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, CanadaHL
Hang Liu
Dr. Hang Liu is currently a Postdoctoral Fellow at the University of Toronto. He obtained his Ph.D. in Mechanical Engineering from the University of Toronto in 2023. His research interests lie at the intersection of artificial intelligence (AI) and in vitro fertilization (IVF), specifically focusing on applying AI techniques to enhance various stages of the IVF process.
Affiliations and expertise
Postdoctoral Fellow, University of Toronto, CanadaZZ
Zhuoran Zhang
Dr. Zhuoran Zhang is a Professor at Dalian University of Technology. His research interests include micro-robotics, medical robotics, robotic cell manipulation, and biomedical instrumentation with applications in clinically assisted reproductive medicine. He is also an associate editor for IEEE Robotics and Automation Letters with an Outstanding AE award.
Affiliations and expertise
Professor at Dalian University of Technology