Robotics and Artificial Intelligence for Reproductive Medicine

Autorentext
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. 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.

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.

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.

Klappentext

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, and 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.

Inhalt

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