A historical perspective of biomedical explainable AI research
- Luca Malinverno
- Vesna Barros
- et al.
- 2023
- Patterns
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Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue
- Travis Greene
- Amit Dhurandhar
- et al.
- 2023
- Patterns
SELFIES and the future of molecular string representations
- Mario Krenn
- Qianxiang Ai
- et al.
- 2022
- Patterns
Human-centered explainability for life sciences, healthcare, and medical informatics
- Sanjoy Dey
- Prithwish Chakraborty
- et al.
- 2022
- Patterns
Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction
- Saaket Agrawal
- Marcus D.R. Klarqvist
- et al.
- 2021
- Patterns
On the role of artificial intelligence in medical imaging of COVID-19
- Jannis Born
- David Beymer
- et al.
- 2021
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Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
- Richard Tomsett
- Alun Preece
- et al.
- 2020
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