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Developing Clinical Artificial Intelligence for Obstetric Ultrasound to Improve Access in Underserved Regions: Protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) Study.

Alice SelfQingchao ChenBapu Koundinya DesirajuSumeet DhariwalAlexander D GleedDivyanshu MishraRamachandran ThiruvengadamVarun ChandramohanRachel CraikElizabeth WildenAshok Khurananull nullShinjini BhatnagarAris T PapageorghiouJ Alison Noble
Published in: JMIR research protocols (2022)
RR1-10.2196/37374.
Keyphrases
  • artificial intelligence
  • low cost
  • machine learning
  • big data
  • magnetic resonance imaging
  • deep learning
  • randomized controlled trial
  • pregnant women
  • ultrasound guided
  • computed tomography