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Does artificial intelligence have a role in the IVF clinic?
Darren J X Chow1,2,3, Philip Wijesinghe4, Kishan Dholakia3,4,5,6
1Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia.
Reproduction & Fertility
|February 4, 2022
Summary
Artificial intelligence (AI) shows promise for improving in vitro fertilization (IVF) success rates, which have stagnated. AI can enhance egg, sperm, and embryo selection, and treatment regimens, offering future benefits for fertility treatments.
Area of Science:
- Reproductive Medicine
- Medical Artificial Intelligence
Background:
- In vitro fertilization (IVF) success rates have plateaued around 30% over the past decade.
- Artificial intelligence (AI) is increasingly explored for its potential to enhance medical outcomes, including in diagnostics.
Purpose of the Study:
- To evaluate the potential of AI to improve outcomes within the IVF clinic.
- To examine AI applications across various stages of the IVF cycle.
Main Methods:
- Review of existing research on AI in medicine and fertility.
- Analysis of AI's potential role in gamete and embryo selection.
- Discussion of AI's application in formulating IVF treatment protocols.
Main Results:
- AI demonstrates potential in optimizing selection processes for eggs, sperm, and embryos.
- AI may assist in personalizing IVF treatment regimens for improved efficacy.
- Potential benefits and concerns for patients and clinicians regarding AI adoption are identified.
Conclusions:
- AI offers a significant future pathway for enhancing IVF success rates.
- Overcoming implementation hurdles is crucial for realizing AI's full potential in fertility care.
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