Acupuncture and IVF: The Pros and Cons of the Use of Artificial Intelligence in IVF, and How Traditional Chinese Medicine Can work Synergistically
- innereastacupunctu
- Jan 20
- 4 min read
Updated: Mar 25

By Dr Luke McPherson (TCM)
TCM, Acupuncture, Crows Nest
Advancements in medical technology are revolutionising healthcare, offering innovative solutions to complex health challenges. One such advancement is the integration of Artificial Intelligence (AI) in In Vitro Fertilisation (IVF) treatments, aiming to enhance success rates for individuals and couples seeking to conceive.
How AI is Utilised in IVF
AI is transforming the IVF process by bringing precision, efficiency, and personalisation to fertility treatments. Here’s how it works:
Embryo Selection: AI algorithms analyse images of embryos to assess their quality and viability. By identifying subtle characteristics that may not be visible to the human eye, AI helps embryologists select the embryos with the highest potential for successful implantation and pregnancy.
Predicting Outcomes: AI tools process vast datasets from previous IVF cycles to predict the likelihood of success based on individual patient profiles. This predictive capability enables clinicians to tailor treatment plans to each patient’s unique needs.
Monitoring Development: AI systems continuously monitor embryo development in incubators, providing real-time data and alerts about growth patterns or abnormalities. This ensures that only the healthiest embryos are transferred.
Optimising Sperm and Egg Selection: By analysing motility, morphology, and genetic markers, AI assists in selecting the best sperm and eggs for fertilisation, improving the overall quality of the procedure.
Pros of AI in IVF:
· Improved Success Rates: AI algorithms can analyse vast datasets to identify patterns that may not be discernible to human clinicians. This capability enables more accurate selection of viable embryos, potentially increasing the likelihood of successful pregnancies.
· Personalised Treatment Plans: By evaluating individual patient data, AI can assist in tailoring treatment protocols to suit specific needs, thereby optimizing outcomes and reducing the emotional and financial strain associated with multiple IVF cycles.
· Enhanced Efficiency: AI-driven tools can streamline various aspects of the IVF process, from sperm and egg selection to embryo monitoring, reducing the time and resources required for successful conception.
Cons of AI in IVF:
· Ethical Considerations: The use of AI in reproductive medicine raises ethical questions, particularly concerning data privacy, consent, and the potential for unintended biases in algorithmic decision-making.
· Accessibility and Cost: Implementing AI technologies can be expensive, potentially limiting access to advanced IVF treatments for individuals in lower socioeconomic groups or in regions with limited healthcare funding.
· Reliability Concerns: While AI offers promising enhancements, it is not infallible. Overreliance on AI without adequate human oversight could lead to errors or overlooked nuances in patient care.
Availability in the Australian Market:
Australia has a sophisticated and mature healthcare system that is quick to adopt new technologies. The medical technology market in Australia is projected to grow by 6.21% between 2025 and 2029, reaching an estimated value of US$10.92 billion by 2029. This growth indicates a favourable environment for the integration of AI in medical practices, including IVF treatments.
However, the adoption of AI in IVF is still in its nascent stages within Australia. While some clinics may begin to incorporate AI-driven tools to enhance success rates, widespread implementation will require substantial investment, regulatory approvals, and clinician training. Additionally, ensuring equitable access across urban and regional areas remains a significant consideration.
Traditional Chinese Medicine (TCM) as a Complementary Approach:
Traditional Chinese Medicine (TCM) has been utilised for centuries to support fertility and reproductive health. Practices such as acupuncture, herbal medicine, and dietary therapy aim to balance the body's energy (Qi) and improve overall well-being, which can be beneficial for individuals undergoing fertility treatments.
How TCM Can Help Fill the Gaps:
· Holistic Support: TCM offers a holistic approach that addresses physical, emotional, and mental health, providing comprehensive support alongside conventional medical treatments.
· Stress Reduction: Techniques like acupuncture have been shown to reduce stress and anxiety, which can positively impact fertility and improve the overall experience of individuals undergoing IVF.
· Improved Blood Flow: Certain TCM practices are believed to enhance blood circulation to the reproductive organs, potentially improving the uterine environment and increasing the chances of successful implantation.
· Accessible and Cost-Effective: TCM treatments are generally more affordable and accessible, offering additional support to individuals who may not have access to advanced AI-driven IVF technologies.
Final thoughts:
The integration of AI in IVF presents promising opportunities to enhance success rates and personalise fertility treatments. However, challenges related to ethics, accessibility, and reliability must be carefully addressed. In the Australian context, while the healthcare system is poised to adopt such innovations, ensuring equitable access remains crucial. Traditional Chinese Medicine can serve as a valuable complementary approach, providing holistic support to individuals on their fertility journey, particularly in areas where advanced technologies are not yet available.
If you want to explore your options in using Acupuncture for IVF and Feritity,
Call Dr Luke McPherson (TCM) 0414 287 083
All content, including but not limited to text, images, and ideas, presented in this blog are the intellectual property of the author, Dr Luke McPherson(TCM), and are protected by copyright law. Unauthorised use, reproduction, or distribution of this material without explicit permission from the author is strictly prohibited.
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