Paul Festor

Paul Festor

Imperial College London

H-index: 4

Europe-United Kingdom

About Paul Festor

Paul Festor, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Artificial Intelligence, Reinforcement learning, Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop

Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians

Quantifying the impact of AI recommendations with explanations on prescription decision making

Interaction of doctors with explainable RL decision support via behavioural readouts of eye-tracking

Eye-tracking of clinician behaviour with explainable AI decision support: a high-fidelity simulation study

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

Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment

MIDAS: Deep learning human action intention prediction from natural eye movement patterns

Paul Festor Information

University

Position

PhD student

Citations(all)

38

Citations(since 2020)

38

Cited By

23

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Paul Festor Skills & Research Interests

Artificial Intelligence

Reinforcement learning

Healthcare

Top articles of Paul Festor

Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop

arXiv preprint arXiv:2404.10906

2024/4/16

Quentin Delfosse
Quentin Delfosse

H-Index: 0

Paul Festor
Paul Festor

H-Index: 1

Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians

2023

Quantifying the impact of AI recommendations with explanations on prescription decision making

NPJ Digital Medicine

2023/11/7

Interaction of doctors with explainable RL decision support via behavioural readouts of eye-tracking

2023/7/20

Eye-tracking of clinician behaviour with explainable AI decision support: a high-fidelity simulation study

2023/7/19

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

medRxiv

2023

Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment

BMJ Health and Care Informatics

2022/7/17

MIDAS: Deep learning human action intention prediction from natural eye movement patterns

arXiv preprint arXiv:2201.09135

2022/1/22

Deep learning human action intention classification from natural eye movement patterns

Journal of Vision

2021/9/27

Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition

2021/9/16

Levels of autonomy and safety assurance for AI-Based clinical decision systems

2021

See List of Professors in Paul Festor University(Imperial College London)