Generalization in medical AI: a perspective on developing scalable models
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866912330033397760 |
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| author | Zvuloni, Eran Celi, Leo Anthony Behar, Joachim A. |
| author_facet | Zvuloni, Eran Celi, Leo Anthony Behar, Joachim A. |
| contents | The scientific community is increasingly recognizing the importance of generalization in medical AI for translating research into practical clinical applications. A three-level scale is introduced to characterize out-of-distribution generalization performance of medical AI models. This scale addresses the diversity of real-world medical scenarios as well as whether target domain data and labels are available for model recalibration. It serves as a tool to help researchers characterize their development settings and determine the best approach to tackling the challenge of out-of-distribution generalization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_05418 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Generalization in medical AI: a perspective on developing scalable models Zvuloni, Eran Celi, Leo Anthony Behar, Joachim A. Machine Learning Artificial Intelligence The scientific community is increasingly recognizing the importance of generalization in medical AI for translating research into practical clinical applications. A three-level scale is introduced to characterize out-of-distribution generalization performance of medical AI models. This scale addresses the diversity of real-world medical scenarios as well as whether target domain data and labels are available for model recalibration. It serves as a tool to help researchers characterize their development settings and determine the best approach to tackling the challenge of out-of-distribution generalization. |
| title | Generalization in medical AI: a perspective on developing scalable models |
| topic | Machine Learning Artificial Intelligence |
| url | https://arxiv.org/abs/2311.05418 |