Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
University of Nottingham Ningbo China · University of Nottingham
Abstract
In recent years, artificial intelligence (AI) has shown great promise in medicine. However, explainability issues make AI applications in clinical usages difficult. Some research has been conducted into explainable artificial intelligence (XAI) to overcome the limitation of the black-box nature of AI methods. Compared with AI techniques such as deep learning, XAI can provide both decision-making and explanations of the model. In this review, we conducted a survey of the recent trends in medical diagnosis and surgical applications using XAI. We have searched articles published between 2019 and 2021 from PubMed, IEEE Xplore, Association for Computing Machinery, and Google Scholar. We included articles which met…
Citation impact
- FWCI
- 44.39
- Percentile
- 100%
- References
- 58
Authors
3Topics & keywords
- Computer science
- Selection (genetic algorithm)
- Artificial intelligence
- Medical research
- Medicine
- Pathology