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Summary of barriers to artificial intelligence (AI) research in oncology.
| Barriers to AI research in oncology |
|---|
| Difficulty in obtaining large, good-quality, multi-institutional data sets |
| Inconsistent or poor-quality imaging |
| Labour-intensive tumour segmentation and annotation |
| Translation into real clinical settings |
| Multidisciplinary approach |
| Streamlined processes compatible with clinical workflow |
| Legal and ethical challenges |
