Abstract
Real-world data (RWD) and real-world evidence (RWE) from heterogeneous data sources has the potential to transform oncology research, especially when coupled with artificial intelligence (AI). We discuss the issues involved in primary data capture and post-hoc AI analysis and propose using AI to support the capture of primary RWD.
Original language | English |
---|---|
Pages (from-to) | 1627–1629 |
Number of pages | 3 |
Journal | Nature Cancer |
Volume | 4 |
Issue number | 12 |
Early online date | 1 Dec 2023 |
DOIs | |
Publication status | Published - 15 Dec 2023 |