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Semantic Scholar Open Access 2022 11 sitasi

Towards Trustworthy Artificial Intelligence in Healthcare

C. Leung Evan W. R. Madill Joglas Souza Christine Y. Zhang
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Abstrak

Healthcare informatics is an interdisciplinary area where computer science, data science, cognitive science, informatics principles, and information technology meet to address problems and support healthcare, medicine, public health, and/or everyday wellness. In many healthcare and medical applications, it is helpful to have models that can learn from historical healthcare data or instances to make predictions on future instances. For human to trust these models or to perceive these models to be trustworthy, it is equally important to build a trustworthy artificial intelligence (AI) solution. Hence, in this paper, towards trustworthy AI in healthcare, we present an explainable AI (XAI) solution that makes accurate predictions and explains the predictions. Evaluation results on real-life datasets demonstrates the effectiveness of our XAI solution towards trustworthy AI in healthcare.

Topik & Kata Kunci

Computer Science

Penulis (4)

C

C. Leung

E

Evan W. R. Madill

J

Joglas Souza

C

Christine Y. Zhang

Format Sitasi

APA MLA BibTeX
Leung, C., Madill, E.W.R., Souza, J., Zhang, C.Y. (2022). Towards Trustworthy Artificial Intelligence in Healthcare. https://doi.org/10.1109/ICHI54592.2022.00127

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Lihat di Sumber doi.org/10.1109/ICHI54592.2022.00127
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
11×
Sumber Database
Semantic Scholar
DOI
10.1109/ICHI54592.2022.00127
Akses
Open Access ✓