Clinical applications of continual learning machine learning
Open accessAbstract
With advances in artificial intelligence (AI), particularly in machine learning and deep learning, the potential uses for AI in medicine are growing. Continual learning, also known as lifelong learning or online machine learning, is a fundamental idea in machine learning in which models continuously learn and evolve based on the input of increasing amounts of data, while retaining previously learned knowledge.1 This dynamic process of supervised learning allows the model to incrementally learn and autonomously change its behaviour, while not forgetting the original task.
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Systematic errors might also be reduced through continual learning, whereby an ML-based system is continuously updated through new data while retaining previously learned knowledge.
“Systematic errors might also be reduced through continual learning11, whereby an ML-based system is continuously updated through new data while retaining previously learned knowledge12.”
From Mitigating bias in machine learning for medicine (2021) · cites this paper as [12]
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“See: http://creativecommons.org/licenses/by-nc/4.0/.”
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- Authors
- Lee, C. S., & Lee, A. Y.
- Affiliations
- University of Washington (US)
- Corresponding author
- Lee, Aaron Y
- Venue
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 2
- Issue
- 6
- Pages
- e279-e281
- ISSN
- 2589-7500 (ISSN-L)
- PMC
- PMC8259323
- OpenAlex
- W3031989616
- Cited by
- 254
- References
- 10
- Citations by year
- 2026: 31 · 2025: 51 · 2024: 47 · 2023: 41 · 2022: 47 · 2021: 24 · 2020: 13
- FWCI
- 12.28
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Digital Health (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health National Eye Institute (K23EY029246, R01AG060942)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- continual learning, lifelong learning, online machine learning, clinical application, incremental learning, artificial intelligence in healthcare
- MeSH terms
- Machine Learning, Data Management, Delivery of Health Care, Humans, Pattern Recognition, Automated
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