Tom Lawton

Artificial intelligence in health care: accountability and safety

2020 · 278 Zit. · Bulletin of the World Health Organization

The Role of Explainability in Assuring Safety of Machine Learning in Healthcare

2022 · 64 Zit. · IEEE Transactions on Emerging Topics in Computing

Clinicians risk becoming “liability sinks” for artificial intelligence

2024 · 30 Zit. · Future Healthcare Journal

Development and translation of human-AI interaction models into working prototypes for clinical decision-making

2024 · 9 Zit. · Designing Interactive Systems Conference

Moving beyond the AI sales pitch – Empowering clinicians to ask the right questions about clinical AI

2024 · 5 Zit. · Future Healthcare Journal

Artificial intelligence in the NHS: Moving from ideation to implementation

2024 · 3 Zit. · Future Healthcare Journal

Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence

2023 · 3 Zit.

The Role of Explainability in Assuring Safety of Machine Learning in Healthcare

2021 · 3 Zit. · arXiv (Cornell University)

The Need for the Human-Centred Explanation for ML-based Clinical Decision Support Systems

2023 · 2 Zit.

Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence

2023 · 1 Zit.

Design Principles for Human-Centred Explainable AI: A Scoping Review

2025 · 0 Zit. · ACM Transactions on Interactive Intelligent Systems

The case for delegated AI autonomy for Human AI teaming in healthcare

2025 · 0 Zit. · ArXiv.org