Ontario Institute for Cancer Research

Transparency and reproducibility in artificial intelligence

Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.

2020 · 481 Zit.

ChatGPT usage in the Reactome curation process

Krishna Kumar Tiwari, Lisa Matthews, Bruce May et al.

2023 · 12 Zit.

SCARF: Auto-Segmentation Clinical Acceptability & Reproducibility Framework for Benchmarking Essential Radiation Therapy Targets in Head and Neck Cancer

Joseph Marsilla, Jun Won Kim, Denis Tkachuck et al.

2022 · 2 Zit.

Evaluation of adherence to STARD for abstracts in a diverse sample of diagnostic accuracy abstracts published in 2012 and 2019 reveals suboptimal reporting practices

Constance Dubois, Haben Dawit, Daniël A. Korevaar et al.

2024 · 2 Zit.

A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges

Mattea Welch, Benjamin Grant, Christopher Deutschman et al.

2026 · 0 Zit.

Using GPT-4 to Automate the Generation of Lay Summaries for Cancer Publications

Emma Purdie, Tony Yu, Jochen Weile et al.

2025 · 0 Zit.

2619P How clinicians decide – analyzing real-world practice patterns in metastatic renal cell carcinoma (mRCC) with machine learning: Results from the international metastatic renal cell carcinoma database consortium (IMDC)

David Maj, D. O'Sullivan, Martín Zarbá et al.

2025 · 0 Zit.