Ian Scott

Papers

Total Citations

198

H-Index

About

Ian Scott is a leading voice in the ethical and practical integration of artificial intelligence into clinical medicine. His research primarily explores the human and systemic factors that determine AI’s success in healthcare, with a sharp focus on stakeholder attitudes, implementation barriers, and pandemic-response applications. Scott’s landmark 2021 study, “Exploring stakeholder attitudes towards AI in clinical practice,” has garnered 179 citations for its critical insight that the acceptance of AI by clinicians, consumers, and managers is not automatic—it depends on developers addressing diverse concerns and expectations. This work has become foundational for understanding the socio-technical challenges of AI adoption. During the COVID-19 crisis, Scott also examined how AI could be rapidly deployed to fight the pandemic, arguing in a widely noted 2020 paper that while AI showed immediate utility in diagnostics and logistics, its true potential would be realized only through careful, forward-looking design for future outbreaks. By bridging the gap between technical capability and real-world readiness, Scott’s research provides essential guidance for anyone seeking to deploy AI responsibly in clinical settings.