Artificial intelligence-generated synthetic data for cancer research and clinical trials - PubMed
9 hours ago
- #Synthetic Data
- #Cancer Research
- #Artificial Intelligence
- Artificial intelligence-generated synthetic data is increasingly used in healthcare research, especially in oncology and haematology.
- Synthetic data replicates real-world data properties, aiding in overcoming data access barriers and reducing clinical trial costs and failure rates.
- Challenges include lack of standardization in training data selection, model evaluation, bias mitigation, privacy preservation, and quality assurance.
- Synthetic data has potential to transform data sharing, scientific collaboration, and clinical trial design with rigorous validation and oversight.
- The article reviews real-world examples, limitations, and proposes best practices for enhancing synthetic data fidelity, validity, fairness, and utility.