Institute of Cancer Research

Deep learning COVID-19 detection bias: accuracy through artificial intelligence

Shashank Vaid, Reza Kalantar, Mohit Bhandari

2020 · 191 Zit.

A Delphi consensus statement for digital surgery

Kyle Lam, Michael D. Abràmoff, José M. Balibrea et al.

2022 · 77 Zit.

Acting on incidental findings in research imaging

Joanna M. Wardlaw, H. Dele Davies, Thomas C. Booth et al.

2015 · 42 Zit.

Challenges in ensuring the generalizability of image quantitation methods for MRI

Kathryn E. Keenan, Jana G. Delfino, Kalina V. Jordanova et al.

2021 · 41 Zit.

Challenges and recommendations for high quality research using electronic health records

Kate Honeyford, Paul Expert, Estera Mendelsohn et al.

2022 · 35 Zit.

Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper

Luis Martí‐Bonmatí, Dow‐Mu Koh, Katrine Riklund et al.

2022 · 31 Zit.

Development and results of a patient-reported treatment experience questionnaire on a 1.5 T MR-Linac

Helen Barnes, S. Alexander, L. Bower et al.

2021 · 24 Zit.

General Roadmap and Core Steps for the Development of AI Tools in Digital Pathology

Yasmine Makhlouf, Manuel Salto‐Tellez, Jacqueline A. James et al.

2022 · 9 Zit.

Videoconferencing for multidisciplinary team meetings in the coronavirus disease era – human factors awareness and recognition

Cyrus Kerawala, Francesco Riva, Vinidh Paleri

2020 · 9 Zit.

Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case

L. Escudero, Thomas Buddenkotte, Mohammad Al Sa’d et al.

2023 · 7 Zit.

Leveraging large language models for structured information extraction from pathology reports

Jeya Balaji Balasubramanian, Daniel E. Adams, Ioannis Roxanis et al.

2025 · 5 Zit.

AI implementation in pediatric radiology for patient safety: a multi-society statement from the ACR, ESPR, SPR, SLARP, AOSPR, SPIN

Susan C. Shelmerdine, Jaishree Naidoo, Brendan S. Kelly et al.

2025 · 2 Zit.

Perspectives on access to imaging digital health records in oncology: A mixed methods systematic review

Ana Ribeiro, Olga Husson, Milou J. P. Reuvers et al.

2024 · 2 Zit.

Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world data

Simon Doran, Theo Barfoot, Linda Wedlake et al.

2024 · 1 Zit.

Clinician and Patient Preference of Multimedia-Enhanced Radiology Reporting for Primary Tumour Staging: an Exploratory Study

Joshua Shur, Emma Hainsworth, Leila Kafaei et al.

2023 · 0 Zit.