Login / Signup

Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI).

Panagiotis CherouveimVictoria S JiangManoj Kumar KanakasabapathyPrudhvi ThirumalarajuIrene SouterIrene DimitriadisCharles L BormannHadi Shafiee
Published in: Journal of assisted reproduction and genetics (2022)
AI-based QA tools could provide accurate, reproducible, and efficient staff performance monitoring in an ART practice.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • hiv infected
  • primary care
  • antiretroviral therapy
  • healthcare
  • long term care
  • quality improvement