Predicting IVF Implantation Success Through Medical Imaging
Turning Ultrasound Scans into Predictive Insight
A medical imaging company partnered with Praelexis to predict the probability of a successful IVF implantation from ultrasound data. The goal was to give patients and their doctors a clearer, evidence-based view of their chances of success.
The company works to accelerate drug developments and other medical interventions using analytical tools and modern trial infrastructure. It wanted to determine which factors indicate a successful in vitro implantation, and turned to Praelexis for its expertise in predictive modelling and computer vision.
Patients seeking in vitro procedures are naturally anxious about the outcome, and anything that increases the chances of success is of real benefit to them and their doctors. With access to clinical trial data, the company needed a model that could predict the probability of success and identify the factors behind it, despite ultrasound data that is scarce and expensive to collect.
Praelexis built a software framework from scratch to segment ultrasound images into the uterus and endometrium and extract features.
Key Outcomes
Ultrasound Segmentation
New Factors
Published Research
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