Managing data overload requires a multifaceted approach:
Data Management Systems: Implementing robust data management systems can help organize and store data effectively, making it easier to retrieve and analyze. Artificial Intelligence (AI): AI and machine learning algorithms can assist in analyzing large datasets, identifying patterns, and making predictions, thereby reducing the manual workload on histologists. Standardization: Standardizing data collection and analysis protocols can ensure consistency and comparability, reducing the complexity of dealing with diverse datasets.
