Tariq Osman Andersen

Tariq Osman Andersen

Lektor

ORCID: 0000-0002-9342-5520

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  1. 2023
  2. Udgivet

    Clinician-Facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI

    Zajac, Hubert Dariusz, Li, D., Dai, X., Carlsen, Jonathan Frederik, Kensing, Finn & Andersen, Tariq Osman, 2023, I: ACM Transactions on Computer-Human Interaction. 30, 2, 33.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  3. Udgivet

    Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward

    Thieme, A., Nori, A., Ghassemi, M., Bommasani, R., Andersen, Tariq Osman & Luger, E., 2023, CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Inc., 4 s. 512

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Accepteret/In press

    Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI

    Zajac, Hubert Dariusz, Avlona, Rozalia Natalia, Andersen, Tariq Osman, Kensing, Finn & Shklovski, Irina, 2023, (Accepteret/In press) AIES ’23, August 8–10, 2023, Montréal, QC, Canada. Association for Computing Machinery, 12 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  5. Udgivet

    Patient Data Work with Consumer Self-tracking: Exploring Affective and Temporal Dimensions in Chronic Self-care

    Andersen, Tariq Osman, Fritsch, J. & Matthiesen, S., 2023, Pervasive Computing Technologies for Healthcare - 16th EAI International Conference, PervasiveHealth 2022, Proceedings. Tsanas, A. & Triantafyllidis, A. (red.). Springer, s. 666-680 15 s. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Bind 488 LNICST).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. 2022
  7. Udgivet

    Accelerometer-assessed physical behavior and the association with clinical outcomes in implantable cardioverter-defibrillator recipients: A systematic review

    Kolk, M. Z. H., Frodi, D. M., Andersen, Tariq Osman, Langford, J., Diederichsen, S. Z., Svendsen, Jesper Hastrup, Tan, H. L., Knops, R. E. & Tjong, F. V. Y., 2022, I: Cardiovascular Digital Health Journal. 3, 1, s. 46-55

    Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

  8. Udgivet

    Revisiting Patient-Clinician Interaction in 2022: Challenges from the Field and Opportunities for Future Research

    Nunes, F., Verdezoto, N., Andersen, Tariq Osman, Matthiesen, S., Chung, C., Park, S. Y., Seo, W. & Studenic, P., 2022, Proceedings of 20th European Conference on Computer-Supported Cooperative Work. EUSSET, 8 s. (Reports of the European Society for Socially Embedded Technologies; Nr. 2, Bind 6).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  9. Udgivet

    Using Consumer‐Wearable Activity Trackers for Risk Prediction of Life‐Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter‐Defibrillator: An Exploratory Observational Study

    Frodi, D. M., Manea, V., Diederichsen, S. Z., Svendsen, Jesper Hastrup, Wac, Katarzyna & Andersen, Tariq Osman, 2022, I: Journal of Personalized Medicine. 12, 6, s. 1-34 942.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  10. 2021
  11. Udgivet

    Accelerometry-assessed physical behaviour and the association with clinical outcomes in implantable cardioverter-defibrillator recipients: a systematic review

    Kolk, M., Frodi, D. M., Andersen, Tariq Osman, Langford, J., Diederichsen, S. Z., Svendsen, Jesper Hastrup, Tan, H., Knops, R. & Tjong, F., 2021, I: Europace. 23, Supplement 3, 1 s., iii458.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  12. Udgivet

    Clinician preimplementation perspectives of a decision-support tool for the prediction of cardiac arrhythmia based on machine learning: near-live feasibility and qualitative study

    Matthiesen, S., Diederichsen, S. Z., Hansen, M. K. H., Villumsen, C., Lassen, M. C. H., Jacobsen, P. K., Risum, N., Winkel, B. G., Philbert, B. T., Svendsen, Jesper Hastrup & Andersen, Tariq Osman, 2021, I: JMIR Human Factors. 8, 4, 17 s., e26964.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  13. Udgivet

    Rationale and design of the SafeHeart study: Development and testing of a mHealth tool for the prediction of arrhythmic events and implantable cardioverter-defibrillator therapy

    Frodi, D. M., Kolk, M. Z. H., Langford, J., Andersen, Tariq Osman, Knops, R. E., Tan, H. L., Svendsen, Jesper Hastrup, Tjong, F. V. Y. & Diederichsen, S. Z., 2021, I: Cardiovascular Digital Health Journal. 2, 6, s. S11-S20

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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