Ethical challenges regarding artificial intelligence in medicine from the perspective of scientific editing and peer review
This review article aims to highlight several areas in research studies on artificial intelligence (AI) in medicine that currently require additional transparency and explain why additional transparency is needed. Transparency regarding training data, test data and results, interpretation of study r...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Korean Council of Science Editors
2019-08-01
|
| Series: | Science Editing |
| Subjects: | |
| Online Access: | http://www.escienceediting.org/upload/kcse-164.pdf |