Review paper
Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability
Abstract
Although decision-making algorithms are not new to medicine, the availability of vast stores of medical data, gains in computing power, and breakthroughs in machine learning are accelerating the pace of their development, expanding the range of questions they can address, and increasing their predictive power. In many cases, however, the most powerful machine learning techniques purchase diagnostic or predictive accuracy at the expense of our...
Paper Details
Title
Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability
Published Date
Jan 1, 2019
Journal
Volume
49
Issue
1
Pages
15 - 21
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History