Importance of Better Human-Computer Interaction in the Era of Deep Learning: Mammography Computer-Aided Diagnosis as a Use Case
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Literature has mainly blamed the failure of early CAD systems on low technical performance, while other potential barriers such as organizational or social aspects have been largely ignored.
“Literature has mainly blamed this on low technical performance of these early applications [5, 14–16], while other potential barriers to successful implementation, such as organizational or social aspects, have been largely ignored [17].”
From Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors (2020) · cites this paper as [17]
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- Authors
- Nishikawa, R. M., & Bae, K. T.
- Affiliations
- University of Pittsburgh (US)
- Corresponding author
- Nishikawa, Robert M.
- ORCID
- Nishikawa, Robert M.
- Venue
- Journal of the American College of Radiology
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 15
- Issue
- 1
- Pages
- 49-52
- ISSN
- 1546-1440 (ISSN-L)
- PMC
- PMC7209770
- OpenAlex
- W2766636512
- Cited by
- 44
- References
- 12
- Citations by year
- 2025: 7 · 2024: 5 · 2023: 10 · 2022: 6 · 2021: 8 · 2020: 4 · 2019: 4
- FWCI
- 1.24
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the American College of Radiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R01CA104560, R21CA216495)
- National Institute of Biomedical Imaging and Bioengineering (R01EB013680)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Keywords
- human-computer interaction, deep learning, computer-aided diagnosis, mammography, radiology automation, decision support system
- MeSH terms
- Machine Learning, Algorithms, Breast Neoplasms, Diagnosis, Computer-Assisted, Female, Humans, Mammography, Radiographic Image Interpretation, Computer-Assisted, Sensitivity and Specificity
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