| Issue |
Vis Cancer Med
Volume 5, 2024
|
|
|---|---|---|
| Article Number | E3 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/vcm/2024009 | |
| Published online | 31 October 2024 | |
Editorial
Enhancing real-world studies with artificial intelligence: addressing ethical and quality challenges
1
Department of Clinical Research, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng East Road, Guangzhou, Guangdong 510060, China
2
Department of Radiation Oncology, Guangzhou Concord Cancer Center, 9 Ciji Road, Huangpu District (Sino-Singapore Knowledge City), Guangzhou, Guangdong, China
* Corresponding author: chaonan.qian@ccm.cn
Received:
14
August
2024
Accepted:
7
October
2024
Real-world studies have been widely conducted in medical research to generate evidence for improving clinical decision-making. However, several issues arise when conducting prospective real-world studies, including a lack of informed consent, increased patient burden, potential decision bias, and the risk of sales promotion. These challenges can compromise real-world studies’ integrity, ethics, and reliability. This editorial explores how integrating artificial intelligence technologies can help address the challenges associated with conducting prospective real-world studies.
Key words: Artificial intelligence / Real-world studies / Real-world data / Anticancer drug / Ethical and Quality Challenges
© The Authors, published by EDP Sciences, 2024
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