Clatterbridge Cancer Centre NHS Foundation Trust

Patient views on the implementation of artificial intelligence in radiotherapy

Simon W. P. Temple, C. Rowbottom, James T. Simpson

2023 · 24 Zit.

Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review

Nivedita Chakrabarty, Abhishek Mahajan

2023 · 22 Zit.

Gross failure rates and failure modes for a commercial AI‐based auto‐segmentation algorithm in head and neck cancer patients

Simon W. P. Temple, C. Rowbottom

2024 · 16 Zit.

Artificial intelligence and soft skills in radiation oncology: Data versus wisdom

Ian S. Boon, Jean S. Lim, Moi Hoon Yap et al.

2020 · 9 Zit.

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Maximilian Zenk, Ujjwal Baid, Sarthak Pati et al.

2025 · 8 Zit.

Editorial: The use of deep learning in mapping and diagnosis of cancers

Abhishek Mahajan, Nivedita Chakrabarty

2022 · 2 Zit.

632P Integrating artificial intelligence into cancer multidisciplinary team treatment decision-making: A proof-of-concept study

J.K. Tan, O. Benny, A. Khan et al.

2026 · 0 Zit.

P05.14 Optimising trial recruitment in a meningioma trial using qualitative research methods: results from the ROAM / EORTC 1308 information study

Michael D. Jenkinson, Frances Sherratt, Brian Haylock et al.

2018 · 0 Zit.

Abstract PD11-08: Time Implications of an Oncology Intelligence Platform vs Standard Practice: A UK Single Centre Breast Cancer Multi Disciplinary Team Meeting Simulation Trial

J. Tan, Lorna Cook, R. Williams et al.

2026 · 0 Zit.

Abstract PS3-04-19: Health Economic Evaluation of an Artificial Intelligence assisted Breast Cancer Multi Disciplinary Team Meeting/Tumour Board: Preliminary results from a UK Single Centre Simulation Trial

J. Tan, P. Garodia, R. Williams et al.

2026 · 0 Zit.