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Synopsis
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
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About the Authors
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.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
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Robotics and Artificial Intelligence for Reproductive Medicine
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