Machine Intelligence in Healthcare—perspectives on Trustworthiness, Explainability, Usability, and Transparency

npj Digital Medicine
doi 10.1038/s41746-020-0254-2
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Trustworthiness of Pervasive Healthcare Folders

2013English

Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability

Science and Engineering Ethics
Legal AspectsHealth PolicyHealthInnovationEthicsManagement of TechnologyIssues
2019English

Transparency and Choice in Learning Healthcare Systems

Learning Health Systems
Health Information ManagementEnvironmentalPublic HealthOccupational HealthHealth Informatics
2017English

A Survey on Ambient Intelligence in Healthcare

Proceedings of the IEEE
Electronic EngineeringElectricalComputer Science
2013English

Machine Intelligence

IJARCCE
2020English

Artificial Intelligence, Transparency, and Public Decision-Making

AI and Society
PhilosophyHuman-Computer InteractionArtificial Intelligence
2020English

Perspectives on Healthcare Leader and Leadership Development

Journal of Healthcare Leadership
ManagementOrganizational BehaviorPublic HealthHuman Resource ManagementEnvironmentalLeadershipOccupational Health
2010English

Web Usability Inspection Technique Based on Design Perspectives

IET Software
Computer GraphicsComputer-Aided Design
2009English

Artificial Intelligence and Machine Learning’s Impact on Market Design

International Journal of Trend in Scientific Research and Development
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy