Iain Marshall

RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials

2015 · 316 Zit. · Journal of the American Medical Informatics Association

Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

2020 · 228 Zit. · Journal of Clinical Epidemiology

A systematic review of machine learning models for predicting outcomes of stroke with structured data

2020 · 201 Zit. · PLoS ONE

Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach

2017 · 189 Zit. · Journal of the American Medical Informatics Association

Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study

2019 · 51 Zit. · BMC Medical Informatics and Decision Making

Accuracy and Efficiency of Machine Learning–Assisted Risk-of-Bias Assessments in “Real-World” Systematic Reviews

2022 · 24 Zit. · Annals of Internal Medicine

In a pilot study, automated real-time systematic review updates were feasible, accurate, and work-saving

2022 · 21 Zit. · Journal of Clinical Epidemiology

Question answering systems for health professionals at the point of care—a systematic review

2024 · 20 Zit. · Journal of the American Medical Informatics Association

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews

2023 · 11 Zit.

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews

2023 · 3 Zit. · arXiv (Cornell University)

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine

2025 · 0 Zit. · ArXiv.org