Artificial Intelligence for Medical Image Analysis: A Guide for Authors and Reviewers
| Autor: | Phillip M. Cheng, Joseph R. England |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Best practice Deep learning General Medicine Technology assessment 030218 nuclear medicine & medical imaging Image (mathematics) 03 medical and health sciences 0302 clinical medicine Artificial Intelligence 030220 oncology & carcinogenesis Image Processing Computer-Assisted Medicine Humans Radiology Nuclear Medicine and imaging Artificial intelligence business |
| Zdroj: | AJR. American journal of roentgenology. 212(3) |
| ISSN: | 1546-3141 |
| Popis: | The purpose of this article is to highlight best practices for writing and reviewing articles on artificial intelligence for medical image analysis.Artificial intelligence is in the early phases of application to medical imaging, and patient safety demands a commitment to sound methods and avoidance of rhetorical and overly optimistic claims. Adherence to best practices should elevate the quality of articles submitted to and published by clinical journals. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|