Edinburgh Cancer Research
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The reporting quality of natural language processing studies: systematic review of studies of radiology reports
Emma Davidson, Michael T. C. Poon, Arlene Casey et al.
2021 · 37 Zit.
Survey and Evaluation of Hypertension Machine Learning Research
Clea du Toit, Tran Tran, Neha Deo et al.
2023 · 20 Zit.
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports
Arlene Casey, Emma Davidson, Claire Grover et al.
2023 · 9 Zit.
INVESTIGATING THE QUALITY OF MACHINE LEARNING RESEARCH AND REPORTING IN HYPERTENSION
Clea du Toit, Tran Tran, Sachin Aryal et al.
2022 · 1 Zit.
What if Every Patient’s Immune System Could be Guided by the World’s Most Powerful Computers to Fight Cancer? The UK Cancer Vaccines AI and Supercompute Project
Michael Bryan, Joseph Conway, Gareth Bloomfield et al.
2026 · 0 Zit.
Protocol for the PROSECCA study: a new approach for predicting radiotherapy outcome using artificial intelligence and electronic population-based healthcare data
William H. Nailon, David J. Noble, Ewen M Harrison et al.
2026 · 0 Zit.
Radiology-based artificial intelligence for predicting targeted therapy response in pan-cancer: a comprehensive review
Bo Yang, Shaoxia Chen, Yanshu Wang et al.
2025 · 0 Zit.