Skip To Main Content
Rob Procter on Muck Rack

Rob Procter

  • Professor, Social Informatics and Deputy Head of Department, University of Warwick
England
As seen in: Nature, The Guardian, Jisc
Interdisciplinary researcher; Warwick University and Alan Turing Institute. Any views expressed are my own.
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Rob

Contact Rob, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

An evaluation of artificial intelligence assisted prostate biopsy reporting in the Articulate Pro study

|
By Lisa Browning, Richard Colling, Jon Oxley, Jacqueline Susan Birks, Nasullah Khalid Alham, Stefano Malacrino, Abhisek Ghosh, Rosalin Cooper, Monica Dolton, Margaret Horton, Juan A Retamero, Andrew Protheroe, Leila Ahmed, Pallavi Vijay Borkar, Pelvender S. Gill, Richard Bryant, Jonathan J Aning, Kieron White, Richard Scheffer, David Snead, Nasir Rajpoot, Kate Madersky Hutton, Rob Procter, Clare L. Verrill, Chuer Zhang, Nahida Banu, Anastasios Chatzitolios, Irini Danial, Samir Al-Hyassat, Bidisa Sinha, Ewart Stanislaus, James Crofts, Davina Hewitt, Clare Dunstan
| Nature Verified
Abstract Prospective evidence on clinical utility of AI in histopathology is limited. We conducted a prospective study across three National Health Service specialist centres in England to evaluate a commercially available AI system for assistance in prostate biopsy reporting. Of 1613 cases, 1049 were reported with AI-assistance. Endpoints evaluated diagnostic impact, clinical impact and workflow.
Open in Who Shared Issue with article?

[2506.06083] A Novel, Human-in-the-Loop Computational Grounded Theory Framework for Big Social Data

|
By Zheng Fang, Michael Castelle, Rob Procter
| arxiv.org
Open in Who Shared Issue with article?

NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking

|
By Rob Procter, Lin Gui
| arxiv.org
To enhance the ability to find credible evidence in news articles, we propose a novel task of expert recommendation, which aims to identify trustworthy experts on a specific news topic. To achieve the aim, we describe the construction of a novel NewsQuote dataset consisting of 24,031 quote-speaker pairs that appeared on a COVID-19 news corpus.
Open in Who Shared Issue with article?
See all 8 articles