Artificial intelligence for healthcare: restrained development despite impressive applications.

ABSTRACT:

Background

Artificial intelligence (AI) remains poorly understood and its rapid growth raises concerns reminiscent of dystopian narratives. AI has shown the capability of producing new medical content and improving management through optimization and standardization, which shortens queues, while its complete reliance on technical solutions threatens the traditional doctor-patient bond.

Approach

Based on the World Economic Forum's emphasis on the need for faster AI adoption in the medical field, we highlight current gaps in the understanding of its application and offer a set of priorities for future research. The historic review of AI and the latest publications point at barriers like complexity and fragmented regulations, while assisted analysis of big data offers new insig

SUBMITTER: Bergquist R 

PROVIDER: S-EPMC12276687 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature