VALIDATION OF AN AI ALGORITHM FOR EMBRYO SELECTION IN IVF TREATMENTS

• Research type

  Research Study

• Full title

  Validation of An AI Algorithm for Embryo Selection In IVF Treatments

• IRAS ID

  271517

• Contact name

  Andrew Thomson

• Contact email

  andrew.thomson@londonwomensclinic.com

• Sponsor organisation

  AIVF

• Duration of Study in the UK

  1 years, 0 months, 1 days

• Research summary

  IVF treatment is a complex and costly process requiring continuous observation and critical decisions of embryologists and physicians at multiple critical stages.
  There is a large variability in success rates, not only with different types of patients, but also at various centers. The overall success rate (average live birth rate) is estimated at 20%, despite the introduction of many new techniques over the years.
  High throughput technology that includes automation and novel data analyses, may enable more accurate and tailored decision making that will result in more cost-effective IVF treatments and better outcomes.

  By using AI capabilities and huge accumulated data from time lapse videos of developing human embryos, AI driven video analysis may identify known and unknown features (embryological milestones) that correlate and characterize a healthy embryo, even some which are often invisible to the human eye.
  Such complicated algorithm may provide an end-to-end AI decision support tool for the clinician and embryologist throughout the entire IVF process, thus lowering laboratory costs and increasing success rates

• REC name

  London - Queen Square Research Ethics Committee

• REC reference

  19/LO/1644

• Date of REC Opinion

  28 Nov 2019

• REC opinion

  Further Information Favourable Opinion