A model of inexact reasoning in medicine
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Making AI systems explainable has been a focus of research since at least 1975 and has gained more attention recently given the increasingly pervasive distribution of AI systems.
“It has been a focus of research since at least 1975 (Shortliffe and Buchanan 1975). And it has gained more attention recently (Thelisson et al. 2017; Wachter et al. 2016) given the increasingly pervasive distribution of AI systems.”
From How to Design AI for Social Good: Seven Essential Factors (2020) · cites this paper as Shortliffe and Buchanan 1975
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Causability and explainability of artificial intelligence in medicine
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What do we need to build explainable AI systems for the medical domain?
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Generating Visual Explanations
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Shortliffe, E. H., Davis, R., Axline, S. G., Buchanan, B. G., Green, C. C., & Cohen, S. N. (1975) · Computers and Biomedical Research · doi:10.1016/0010-4809(75)90009-9 · Cited by 493 · see citing works
Self-citationMultimodal Explanations: Justifying Decisions and Pointing to the Evidence
Park, D. H., Hendricks, L. A., Akata, Z., Rohrbach, A., Schiele, B., Darrell, T., & Rohrbach, M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00915 · Cited by 418 · see citing works
How to Design AI for Social Good: Seven Essential Factors
Floridi, L., Cowls, J., King, T. C., & Taddeo, M. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-020-00213-5 · Cited by 430 · see citing works
“It has been a focus of research since at least 1975 (Shortliffe and Buchanan 1975).”
BackgroundThe Probability Heuristics Model of Syllogistic Reasoning
Chater, N., & Oaksford, M. (1999) · Cognitive Psychology · doi:10.1006/cogp.1998.0696 · Cited by 324 · see citing works
A systematic survey of computer-aided diagnosis in medicine: Past and present developments
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“It developed and used a highly original confidence-factor representation to measure clinical uncertainty [69].”
MethodHuman-Centric Justification of Machine Learning Predictions
Biran, O., & McKeown, K. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2017/202 · Cited by 84 · see citing works
A review of medical artificial intelligence
Liu, R., Rong, Y., & Peng, Z. (2020) · Global Health Journal · doi:10.1016/j.glohj.2020.04.002 · Cited by 63 · see citing works
Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach
Beaudouin, V., Bloch, I., Bounie, D., Clémençon, S., d'Alché-Buc, F., Eagan, J., Maxwell, W., Mozharovskyi, P., & Parekh, J. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3559477 · Cited by 61 · see citing works
Kabir, S., Hossain, M. S., & Andersson, K. (2025) · Algorithms · doi:10.3390/a18090556 · Cited by 44 · see citing works
Papandreou, P., Amerikanou, C., Vezou, C., Gioxari, A., Kaliora, A. C., & Skouroliakou, M. (2023) · Nutrients · doi:10.3390/nu15020432 · Cited by 17 · see citing works
- Authors
- Shortliffe, E. H., & Buchanan, B. G.
- Affiliations
- Stanford Medicine (US)
- Venue
- Mathematical Biosciences
- Publisher
- Elsevier BV
- Published
- 1975-04
- Volume
- 23
- Issue
- 3-4
- Pages
- 351-379
- ISSN
- 0025-5564 (ISSN-L)
- OpenAlex
- W188378287
- Cited by
- 1,447
- References
- 38
- Citations by year
- 2026: 45 · 2025: 41 · 2024: 41 · 2023: 77 · 2022: 48 · 2021: 62 · 2020: 56 · 2019: 37 · 2018: 37 · 2017: 23 · 2016: 32 · 2015: 38 · 2014: 30 · 2013: 42 · 2012: 25
- FWCI
- 71.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mathematical Biosciences (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Keywords
- inexact reasoning, clinical decision-making, expert reasoning, MYCIN
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