| The added effect of artificial intelligence on physicians’ performance in detecting thoracic pathologies on CT and chest X-ray: A systematic review D Li, LM Pehrson, CA Lauridsen, L Tøttrup, M Fraccaro, D Elliott, ... Diagnostics 11 (12), 2206, 2021 | 24 | 2021 |
| Clinician-facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI HD Zając, D Li, X Dai, JF Carlsen, F Kensing, TO Andersen ACM Transactions on Computer-Human Interaction 30 (2), 1-39, 2023 | 18 | 2023 |
| Iteratively Adapting Avatars Using Task-Integrated Optimisation J McIntosh, HD Zajac, AN Stefan, J Bergström, K Hornbæk Proceedings of the 33rd Annual ACM Symposium on User Interface Software and …, 2020 | 13 | 2020 |
| Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI HD Zając, NR Avlona, F Kensing, TO Andersen, I Shklovski Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 351-362, 2023 | 5 | 2023 |
| Designing ground truth for Machine Learning-conceptualisation of a collaborative design process between medical professionals and data scientists HD Zajac European Society for Socially Embedded Technologies (EUSSET), 2022 | 1 | 2022 |
| Towards actionability for open medical imaging datasets: lessons from community-contributed platforms for data management and stewardship A Jiménez-Sánchez, NR Avlona, D Juodelyte, T Sourget, C Vang-Larsen, ... arXiv preprint arXiv:2402.06353, 2024 | | 2024 |
| It takes a village to raise an AI system-realising AI potential in healthcare HD Zajac European Society for Socially Embedded Technologies (EUSSET), 2022 | | 2022 |
| Mitigating issues in Healthcare AI projects HD Zając, F Kensing | | 2021 |
