Data sharing: using blockchain and decentralized data technologies to unlock the potential of artificial intelligence: What can assisted reproduction learn from other areas of medicine?

Systematic review of the use of blockchain to promote collaborative data sharing in health care discusses current limits on the full potential of artificial intelligence–based tools in assisted reproduction.
Data sharing: using blockchain and decentralized data technologies to unlock the potential of artificial intelligence: What can assisted reproduction learn from other areas of medicine?
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VOLUME 114, ISSUE 5, P927-933

Authors:

Cristina Fontes Lindemann Hickman, Ph.D., Hoor Alshubbar, M.Sc., Jerome Chambost, M.Sc., Celine Jacques, Ph.D., Chris-Alexandre Pena, M.Sc., Andrew Drakeley, M.B.Ch.B., M.D., Thomas Freour, Pharm.D., Ph.D.

Abstract:

The extension of blockchain use for nonfinancial domains has revealed opportunities to the health care sector that answer the need for efficient and effective data and information exchanges in a secure and transparent manner. Blockchain is relatively novel in health care and particularly for data analytics, although there are examples of improvements achieved. We provide a systematic review of blockchain uses within the health care industry, with a particular focus on the in vitro fertilization (IVF) field. Blockchain technology in the fertility sector, including data sharing collaborations compliant with ethical data handling within confines of international law, allows for large-scale prospective cohort studies to proceed at an international scale. Other opportunities include gamete donation and matching, consent sharing, and shared resources between different clinics.

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