James Thomas

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About

James Thomas is a leading researcher at the intersection of healthcare, artificial intelligence, and human-computer interaction. His work primarily investigates the critical factors that shape user trust in AI-driven medical systems, a domain where adoption hinges on clinician and patient confidence. His most influential contribution, the 2022 systematic review "Influences on User Trust in Healthcare Artificial Intelligence," has garnered 41 citations, establishing a foundational framework for understanding how transparency, reliability, and explainability affect trust in clinical AI tools. This work has become essential reading for developers and policymakers aiming to design ethically sound, user-centered health technologies. Beyond this landmark review, Thomas has explored how algorithmic bias and interface design impact decision-making in medical settings. His research is notable for bridging technical AI development with social science methodologies, offering practical insights for building systems that are both effective and trusted. By systematically mapping the psychological and contextual drivers of trust, James Thomas has provided a roadmap for the responsible integration of AI into healthcare, ensuring that innovation does not outpace human confidence.