How can I effectively evaluate new AI tools and plan for the future?
AI tools have become a hot topic of conversation in IVF over the last few years, which has led everyone from embryologists to REIs to question how they can analyze these tools and choose the best option for their practice. In the field of fertility medicine, AI has the potential to streamline lab workflow, increase clinic efficiency, and improve patient outcomes. However, before integrating AI into your IVF lab, it's crucial to consider several major factors to ensure its success and compatibility with your existing practices.
To help you do this, our team of AI experts has created a checklist of the top 10 things to look for when evaluating AI technology for the IVF lab.
The checklist includes:
How to evaluate a product's dataset, algorithm, and supporting research
Key considerations for security, compliance, and FDA guidelines
Factors affecting ease of integration, including interoperability, training, and customer success
Download the AI evaluation checklist
Sign up for our newsletter for the latest advancements in fertility care.
