M. Hassan Murad

Error rates of human reviewers during abstract screening in systematic reviews

2020 · 200 Zit. · PLoS ONE

Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment

2024 · 49 Zit. · BMJ evidence-based medicine

Collaborative large language models for automated data extraction in living systematic reviews

2025 · 24 Zit. · Journal of the American Medical Informatics Association

Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trial

2016 · 14 Zit. · Systematic Reviews

Natural language processing: use in EBM and a guide for appraisal

2016 · 13 Zit. · Evidence-Based Medicine

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning

2022 · 2 Zit. · arXiv (Cornell University)

AI4 CAN WE DECREASE THE SCREENING BURDEN IN SYSTEMATIC REVIEWS? PERFORMANCE OF TWO NATURAL LANGUAGE PROCESSORS TO EXCLUDE RECORDS

2020 · 1 Zit. · Value in Health

A framework for living evidence synthesis in cancer: Living, interactive network meta-analysis for first-line treatment of metastatic renal cell carcinoma (mRCC).

2021 · 1 Zit. · Journal of Clinical Oncology