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?

2020/11/01 by Cristina Hickman, Cristina Fontes Lindemann Hickman, Hoor Alshubbar +8 · 8 citations
Computer Science · Medicine · #Blockchain Technology Applications and Security #Privacy-Preserving Technologies in Data #Organ Donation and Transplantation

paper · doi:10.1016/j.fertnstert.2020.09.160

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• Can machine learning models predict oocyte yield during assisted conception?: a systematic review
• Three ways of knowing: the integration of clinical expertise, evidence-based medicine, and artificial intelligence in assisted reproductive technologies. [europepmc]
• The blockchain and decentralized manipulation of confidential information: uses in medical healthcare and assisted reproduction. [europepmc]
• Automation in ART: Paving the Way for the Future of Infertility Treatment. [europepmc]
• A brief history of artificial intelligence embryo selection: from black-box to glass-box. [europepmc]
• Segmentation of mature human oocytes provides interpretable and improved blastocyst outcome predictions by a machine learning model. [europepmc]
• Envisioning a path from the Internet of Medical Things to improved fertility care access: a mini-review. [europepmc]
• The integration of artificial intelligence in assisted reproduction: a comprehensive review. [europepmc]