"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts

Author:

Zając Hubert Dariusz1ORCID,Ribeiro Jorge Miguel Neves1ORCID,Ingala Silvia2ORCID,Gentile Simona2ORCID,Wanjohi Ruth3ORCID,Gitau Samuel Nguku4ORCID,Carlsen Jonathan Frederik2ORCID,Nielsen Michael Bachmann2ORCID,Andersen Tariq Osman1ORCID

Affiliation:

1. Department of Computer Science, University of Copenhagen, Denmark

2. Department of Radiology, Rigshospitalet Copenhagen University Hospital, Denmark

3. The Nairobi Hospital, Kenya

4. Department of Radiology, Aga Khan University Hospital, Kenya

Funder

Innovation Fund Denmark

Publisher

ACM

Reference96 articles.

1. Artificial Intelligence Solutions for Analysis of X-ray Images

2. Software Engineering for Machine Learning: A Case Study

3. Tariq Andersen, Joachim Halse, and Jonas Moll. 2011. Design interventions as multiple becomings of healthcare. In Proceedings of the 4th Nordic Design Research Conference (Nordes’11), Helsinki, Finland, May 29–31, 2011, Helsinki: Aalto University. 11–20.

4. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

5. “If I Had All the Time in the World”: Ophthalmologists’ Perceptions of Anchoring Bias Mitigation in Clinical AI Support

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