Robotics and Artificial Intelligence for Reproductive Medicine

Nyhet

Häftad, Engelska, 2025

Av Guanqiao Shan, Hang Liu, Zhuoran Zhang, Yu Sun, China.) Shan, Guanqiao (Professor at Dalian University of Technology, Canada) Liu, Hang, PhD (Postdoctoral Fellow, University of Toronto, PhD (Professor at Dalian University of Technology) Zhang, Zhuoran, Canada) Sun, Yu (Professor, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON

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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

Produktinformation

Utgivningsdatum2025-09-22
Mått191 x 235 x 18 mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor316
FörlagElsevier Science
ISBN9780443267451

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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. 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.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.

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