The Francis Crick Institute

Artificial intelligence in cancer imaging: Clinical challenges and applications

Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath et al.

2019 · 1.779 Zit.

Leveraging open hardware to alleviate the burden of COVID-19 on global health systems

André Maia Chagas, Jenny Molloy, Lucia L. Prieto-Godino et al.

2020 · 96 Zit.

Protecting scientific integrity in an age of generative AI

Wolfgang Blau, Vinton G. Cerf, Juan Enriquez et al.

2024 · 63 Zit.

A platform for the biomedical application of large language models

Sebastian Lobentanzer, Shaohong Feng, Noah Bruderer et al.

2025 · 43 Zit.

Exploring the role of large language models in the scientific method: from hypothesis to discovery

Yanbo Zhang, Sumeer Ahmad Khan, A. K. M. Firoj Mahmud et al.

2025 · 24 Zit.

Importance of sample size on the quality and utility of AI-based prediction models for healthcare

Richard D Riley, Joie Ensor, Kym I E Snell et al.

2025 · 22 Zit.

Deep learning prediction of error and skill in robotic prostatectomy suturing

Nazir Sirajudeen, Matthew Boal, Dimitra Anastasiou et al.

2024 · 6 Zit.

Management of post-operative anaemia in patients undergoing surgery for colorectal cancer: a qualitative focus group-based study

Samuel Lawday, Susannah Williams, Elizabeth C James et al.

2025 · 2 Zit.

Placing ChatGPT in the Context of Disruptive Technology in Academic Publishing

Elizabeth Hellen

2023 · 1 Zit.

The future of fundamental science led by generative closed-loop artificial intelligence

Hector Zenil, Jesper Tegner, Felipe S. Abrahão et al.

2026 · 0 Zit.

The sourdough loaves that led two scientists to fame on The Great British Bake Off

Rahul Shubhra Mandal, Chuen-Yan Tsou

2019 · 0 Zit.

Future of the Future of Neurosurgery

Siddharth Sinha, James Booker, Nicola Newall et al.

2024 · 0 Zit.