To overcome these challenges, several strategies can be employed: - Collaborative Efforts: Engaging multiple institutions to pool data and resources. - Bias Mitigation: Ensuring diverse and representative datasets for training algorithms. - Rigorous Testing: Conducting thorough validation studies and peer reviews. - Regulatory Guidance: Following guidelines from regulatory bodies like the FDA or EMA.
