Work

Artificial intelligence in medicine: Overcoming or recapitulating structural challenges to improving patient care?

Year: 2022

Type: review

Abstract: There is considerable enthusiasm about the prospect that artificial intelligence (AI) will help to improve the safety and efficacy of health services and the efficiency of health systems. To realize this potential, however, AI systems will have to overcome structural problems in the culture and practice of medicine and the organization of health systems that impact the data from which AI models are built, the environments into which they will be deployed, and the practices and incentives that structure their development. This perspective elaborates on some of these structural challenges and provides recommendations to address potential shortcomings.

Source: Cell Reports Medicine

DOI: 10.1016/j.xcrm.2022.100622

Author: Alex John London

Institution: Carnegie Mellon University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $5,200