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The advent of medical artificial intelligence: lessons from the Japanese approach

Euma Ishii, Daniel K. Ebner, Satoshi Kimura, Louis Agha-Mir-Salim, Ryo Uchimido, Leo Anthony Celi

2020Journal of Intensive Care36 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Transformative learningHealth careWorkforceHealthcare deliveryApplications of artificial intelligencePrivate sectorHealthcare industryMedicineBusinessPolitical scienceComputer sciencePsychologyArtificial intelligenceLawPedagogyArtificial Intelligence in Healthcare and EducationPalliative Care and End-of-Life IssuesMachine Learning in Healthcare
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