Institute of Cancer Research

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.

2024 · 255 Zit.

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

Shashank Vaid, Reza Kalantar, Mohit Bhandari

2020 · 192 Zit.

A Delphi consensus statement for digital surgery

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

2022 · 80 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 · 42 Zit.

Challenges and recommendations for high quality research using electronic health records

Kate Honeyford, Paul Expert, Estera Mendelsohn et al.

2022 · 37 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 · 32 Zit.

Leveraging large language models for structured information extraction from pathology reports

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

2025 · 12 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.

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 · 8 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.

Quantitative image quality metrics enable resource-efficient quality control of clinically applied AI-based reconstructions in MRI

Owen A. White, Joshua Shur, Francesca Castagnoli et al.

2025 · 3 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 · 3 Zit.

Radiographer training for screening of patients referred for Magnetic Resonance Imaging: A scoping review

H. Barnsley, Scott Robertson, Susanne Cruickshank et al.

2024 · 2 Zit.

Multimodal artificial intelligence (MMAI) model to identify benefit from 2nd-generation androgen receptor pathway inhibitors (ARPI) in high-risk non-metastatic prostate cancer patients from STAMPEDE.

Charles Thomas Parker, Vinnie YT Liu, Larissa Mendes et al.

2025 · 2 Zit.