The Internet of Things in assisted reproduction.

Humans Internet of Things Internet Automation Laboratories Reproduction
Automation Cloud computing Deep tech hub Fog computing Interconnectivity Laboratory devices

Journal

Reproductive biomedicine online
ISSN: 1472-6491
Titre abrégé: Reprod Biomed Online
Pays: Netherlands
ID NLM: 101122473

Informations de publication

Date de publication:
11 2023
Historique:
received: 30 06 2023
revised: 06 08 2023
accepted: 07 08 2023
medline: 13 11 2023
pubmed: 28 9 2023
entrez: 27 9 2023
Statut: ppublish

Résumé

The Internet of Things (IoT) is a network connecting physical objects with sensors, software and internet connectivity for data exchange. Integrating the IoT with medical devices shows promise in healthcare, particularly in IVF laboratories. By leveraging telecommunications, cybersecurity, data management and intelligent systems, the IoT can enable a data-driven laboratory with automation, improved conditions, personalized treatment and efficient workflows. The integration of 5G technology ensures fast and reliable connectivity for real-time data transmission, while blockchain technology secures patient data. Fog computing reduces latency and enables real-time analytics. Microelectromechanical systems enable wearable IoT and miniaturized monitoring devices for tracking IVF processes. However, challenges such as security risks and network issues must be addressed through cybersecurity measures and networking advancements. Clinical embryologists should maintain their expertise and knowledge for safety and oversight, even with IoT in the IVF laboratory.

Identifiants

DOI: 10.1016/j.rbmo.2023.103338 PMID: 37757612
pubmed: 37757612
pii: S1472-6483(23)00438-8
doi: 10.1016/j.rbmo.2023.103338
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103338

Informations de copyright

Copyright © 2023 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

Auteurs

Giles A Palmer (GA)

IVF2.0 Ltd, London, UK; International IVF Initiative, New York, New York, USA.

Giles Tomkin (G)

Althea Science Inc, New York, New York, USA.

Héctor Emanuel Martín-Alcalá (HE)

IVF2.0 Ltd, London, UK.

Gerardo Mendizabal-Ruiz (G)

Conceivable Life Sciences, New York, New York, USA; Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, Mexico.

Jacques Cohen (J)

IVF2.0 Ltd, London, UK; International IVF Initiative, New York, New York, USA; Althea Science Inc, New York, New York, USA; Conceivable Life Sciences, New York, New York, USA. Electronic address: jc@embryos.net.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › The Internet of Things in assisted reproduction.
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Systèmes informatiques › Réseaux de communication entre ordinateurs › Internet › Internet des objets › The Internet of Things in assisted reproduction.
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Systèmes informatiques › Réseaux de communication entre ordinateurs › Internet › The Internet of Things in assisted reproduction.
questionsmedicales.fr › Technologie, industrie et agriculture › Technologie › Automatisation › The Internet of Things in assisted reproduction.
questionsmedicales.fr › Établissements, main d'oeuvre et services de soins de santé › Établissements de santé › Laboratoires › The Internet of Things in assisted reproduction.
questionsmedicales.fr › Phénomènes physiologiques des appareils urinaire et reproducteur › Phénomènes physiologiques de la reproduction › Reproduction › The Internet of Things in assisted reproduction.