Data Characterization for Reliable AI in Medicine
Research in Artificial Intelligence (AI)-based medical computer vision algorithms bear promises to improve disease screening, diagnosis, and subsequently patient care. However, these algorithms are highly impacted by the characteristics of the underlying data. In this work, we discuss various data c...
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| Published in | Communications in computer and information science Vol. 1704; p. 3 |
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| Main Authors | , , , , |
| Format | Journal Article Book Chapter |
| Language | English |
| Published |
Switzerland
2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1865-0937 1865-0929 1865-0937 |
| DOI | 10.1007/978-3-031-23599-3_1 |
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| Abstract | Research in Artificial Intelligence (AI)-based medical computer vision algorithms bear promises to improve disease screening, diagnosis, and subsequently patient care. However, these algorithms are highly impacted by the characteristics of the underlying data. In this work, we discuss various data characteristics, namely
, and
that impact the design, reliability, and evolution of machine learning in medical computer vision. Further, we discuss each characteristic and the recent works conducted in our research lab that informed our understanding of the impact of these characteristics on the design of medical decision-making algorithms and outcome reliability. |
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| AbstractList | Research in Artificial Intelligence (AI)-based medical computer vision algorithms bear promises to improve disease screening, diagnosis, and subsequently patient care. However, these algorithms are highly impacted by the characteristics of the underlying data. In this work, we discuss various data characteristics, namely
, and
that impact the design, reliability, and evolution of machine learning in medical computer vision. Further, we discuss each characteristic and the recent works conducted in our research lab that informed our understanding of the impact of these characteristics on the design of medical decision-making algorithms and outcome reliability. |
| Author | Xue, Zhiyun Zamzmi, Ghada Antani, Sameer K Rajaraman, Sivaramakrishnan Yang, Feng |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36780238$$D View this record in MEDLINE/PubMed |
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| Keywords | generalizability deep learning data-driven design reliability robustness Data characteristics machine learning artificial intelligence medical imaging |
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| Title | Data Characterization for Reliable AI in Medicine |
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