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Robotics and Artificial Intelligence for Reproductive Medicine

Editat de Guanqiao Shan, Hang Liu, Zhuoran Zhang, Yu Sun
en Limba Engleză Paperback – 22 sep 2025
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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Specificații

ISBN-13: 9780443267451
ISBN-10: 0443267456
Pagini: 316
Dimensiuni: 191 x 235 x 20 mm
Greutate: 0.64 kg
Editura: ELSEVIER SCIENCE

Cuprins

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