The advent of medical artificial intelligence: lessons from the Japanese approach.
AI, Next Generation Medical Foundation Law, My Number System, Society 5.0, Big Data, Partnerships
Journal
Journal of intensive care
ISSN: 2052-0492
Titre abrégé: J Intensive Care
Pays: England
ID NLM: 101627304
Informations de publication
Date de publication:
2020
2020
Historique:
received:
26
03
2020
accepted:
28
04
2020
entrez:
30
5
2020
pubmed:
30
5
2020
medline:
30
5
2020
Statut:
epublish
Résumé
Artificial intelligence or AI has been heralded as the most transformative technology in healthcare, including critical care medicine. Globally, healthcare specialists and health ministries are being pressured to create and implement a roadmap to incorporate applications of AI into care delivery. To date, the majority of Japan's approach to AI has been anchored in industry, and the challenges that have occurred therein offer important lessons for nations developing new AI strategies. Notably, the demand for an AI-literate workforce has outpaced training programs and knowledge. This is particularly observable within medicine, where clinicians may be unfamiliar with the technology. National policy and private sector involvement have shown promise in developing both workforce and AI applications in healthcare. In combination with Japan's unique national healthcare system and aggregable healthcare and socioeconomic data, Japan has a rich opportunity to lead in the field of medical AI.
Identifiants
pubmed: 32467762
doi: 10.1186/s40560-020-00452-5
pii: 452
pmc: PMC7236126
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
35Informations de copyright
© The Author(s) 2020.
Déclaration de conflit d'intérêts
Competing interestsThe authors declare that they have no competing interests.
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