A. Aldo Faisal

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

2018 · 1.149 Zit. · Nature Medicine

Guidelines for reinforcement learning in healthcare

2018 · 353 Zit. · Nature Medicine

Wearable full-body motion tracking of activities of daily living predicts disease trajectory in Duchenne muscular dystrophy

2023 · 88 Zit. · Nature Medicine

AI, Health, and Health Care Today and Tomorrow

2025 · 46 Zit. · JAMA

Challenges and recommendations for high quality research using electronic health records

2022 · 35 Zit. · Frontiers in Digital Health

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.

2018 · 34 Zit. · PubMed

Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations

2024 · 15 Zit. · npj Digital Medicine

Bridging the equity gap towards inclusive artificial intelligence in healthcare diagnostics

2024 · 14 Zit. · BMJ

Breaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculus

2022 · 12 Zit. · AI and Ethics

Levels of Autonomy and Safety Assurance for AI-Based Clinical Decision Systems

2021 · 11 Zit. · Lecture notes in computer science

Safety of human-AI cooperative decision-making within intensive care: A physical simulation study

2025 · 8 Zit. · PLOS Digital Health

The Response Shift Paradigm to Quantify Human Trust in AI Recommendations

2022 · 5 Zit. · arXiv (Cornell University)

Evaluating the Human Safety Net: Observational study of Physician Responses to Unsafe AI Recommendations in high-fidelity Simulation

2023 · 4 Zit.

Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders

2022 · 3 Zit. · 2022 Conference on Cognitive Computational Neuroscience

Quantifying the impact of AI recommendations with explanations on prescription decision making: an interactive vignette study

2023 · 2 Zit.