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ORCIDIan A. Scott
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- I. Scott MacKenzie
![[0000-0003-1731-9651]](/web/20190509160520*/https://medium.com/@ddrogan/libertys-https-dblp.org/img/orcid-mark.12x12.png "0000-0003-1731-9651")
(aka: Ian Scott MacKenzie) — York University, Toronto, Canada - Ian Scott
- Ian J. Scott
- Ian M. Scott
- Ian Scott-Fleming
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2020 – today
- 2026
[j7]Anton H. van der Vegt, Victoria Campbell, Robert Webb, Balasubramanian Venkatesh, Paul J. Lane, Kathryn Wilks, Steven McPhail, Michael Rice, Tara Isaacs, Ahmad Abdel-Hafez, Stephen Whebell, Adam Irwin, Rudolf J. Schnetler, Amith Shetty, Ian A. Scott:
A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar. J. Am. Medical Informatics Assoc. 33(2): 304-315 (2026)- [i1]Aaron Nicolson, Elizabeth J. Cooper, Hwan-Jin Yoon, Claire McCafferty, Ramya Krishnan, Michelle Craigie, Nivene Saad, Jason Dowling, Ian A. Scott, Bevan Koopman:
Toward Clinically Acceptable Chest X-ray Report Generation: A Qualitative Retrospective Pilot Study of CXRMate-2. CoRR abs/2604.18967 (2026) - 2025
- [j6]Anton H. van der Vegt, Victoria Campbell, Shuyi Wang, James Malycha, Ian A. Scott:
Factors underpinning the performance of implemented artificial intelligence-based patient deterioration prediction systems: reasons for selection and implications for hospitals and researchers. J. Am. Medical Informatics Assoc. 32(3): 492-509 (2025) - [j5]Monica Noselli, Anton van der Vegt, Maxime Cordeil, Victoria Campbell, Audrey P. Wang, Amith Shetty, Ian A. Scott:
Presenting Artificial Intelligence Predictions Based on Electronic Medical Records to Clinicians in Hospitals: A Systematic Review. IEEE J. Biomed. Health Informatics 29(12): 7619-7632 (2025) - 2024
- [j4]Anton H. van der Vegt, Victoria Campbell, Imogen Mitchell, James Malycha, Joanna Simpson, Tracy Flenady, Arthas Flabouris, Paul J. Lane, Naitik Mehta, Vikrant R. Kalke, Jovie A Decoyna, Nicholas Es'haghi, Chun-Huei Liu, Ian A. Scott:
Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. J. Am. Medical Informatics Assoc. 31(2): 509-524 (2024) - [j3]Robin D. Blythe, Sundresan Naicker, Nicole M. White, Raelene Donovan, Ian A. Scott, Andrew McKelliget, Steven M. McPhail:
Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care. BMC Medical Informatics Decis. Mak. 24(1): 241 (2024) - 2023
- [j2]Anton H. van der Vegt, Ian A. Scott, Krishna Dermawan, Rudolf J. Schnetler, Vikrant R. Kalke, Paul J. Lane:
Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework. J. Am. Medical Informatics Assoc. 30(7): 1349-1361 (2023) - [j1]Anton H. van der Vegt, Ian A. Scott, Krishna Dermawan, Rudolf J. Schnetler, Vikrant R. Kalke, Paul J. Lane:
Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework. J. Am. Medical Informatics Assoc. 30(9): 1503-1515 (2023)
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