Benefits, Pitfalls, and Potential Bias in Health Care AI.

Clicks: 332
ID: 2185
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
As the health care industry adopts artificial intelligence, machine learning, and other modeling techniques, it is seeing benefits to both patient outcomes and cost reduction; however, it needs to be cognizant of and ensure proper management of the risks, including bias. Lessons learned from other industries may provide a framework for acknowledging and managing data, machine, and human biases that arise while implementing AI.
Reference Key
haguebenefitsnorth Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hague, Douglas C;
Journal north carolina medical journal
Year Year not found
DOI
10.18043/ncm.80.4.219
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.