Work

Approaching autonomy in medical artificial intelligence

Year: 2020

Type: article

Abstract: Artificial intelligence (AI) has the potential to transform the delivery of health care by automating complex tasks that traditionally required substantial training and expertise. Contrary to concerns that fully automated AI will replace health-care providers,1 a more likely scenario is that providers will increasingly interact with task-specific and domain-specific AI systems across a continuum of automation. The level of AI autonomy is broadly accepted to be crucial to the risk-assessment of AI algorithms, yet its definition and classification is poorly defined.

Source: The Lancet Digital Health

DOI: 10.1016/s2589-7500(20)30187-4

Authors: Danielle S Bitterman, Hugo J W L Aerts, Raymond H Mak

Institutions: Brigham and Women's Hospital, Boston Children's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center

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: $6,680