Ian A. Scott

According to our database, Ian A. Scott authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Toward Clinically Acceptable Chest X-ray Report Generation: A Qualitative Retrospective Pilot Study of CXRMate-2.

Aaron Nicolson, Elizabeth J. Cooper, Hwan-Jin Yoon, Claire McCafferty, Ramya Krishnan, Michelle Craigie, Nivene Saad, Jason Dowling, Ian A. Scott, Bevan Koopman

CoRR, April, 2026

A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar.

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

J. Am. Medical Informatics Assoc., 2026

2025

Presenting Artificial Intelligence Predictions Based on Electronic Medical Records to Clinicians in Hospitals: A Systematic Review.

Monica Noselli, Anton van der Vegt, Maxime Cordeil, Victoria Campbell, Audrey P. Wang, Amith Shetty, Ian A. Scott

IEEE J. Biomed. Health Informatics, December, 2025

Factors underpinning the performance of implemented artificial intelligence-based patient deterioration prediction systems: reasons for selection and implications for hospitals and researchers.

Anton H. van der Vegt, Victoria Campbell, Shuyi Wang, James Malycha, Ian A. Scott

J. Am. Medical Informatics Assoc., 2025

2024

Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care.

Robin D. Blythe, Sundresan Naicker, Nicole M. White, Raelene Donovan, Ian A. Scott, Andrew McKelliget, Steven M. McPhail

BMC Medical Informatics Decis. Mak., December, 2024

Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain.

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

J. Am. Medical Informatics Assoc., January, 2024

2023

Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework.

Anton H. van der Vegt, Ian A. Scott, Krishna Dermawan, Rudolf J. Schnetler, Vikrant R. Kalke, Paul J. Lane

J. Am. Medical Informatics Assoc., August, 2023

Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework.

Anton H. van der Vegt, Ian A. Scott, Krishna Dermawan, Rudolf J. Schnetler, Vikrant R. Kalke, Paul J. Lane

J. Am. Medical Informatics Assoc., June, 2023