Large Data Requirements: Deep learning models require vast amounts of labeled data to achieve high accuracy. The more data the system has access to, the better it can learn complex patterns.

Deep learning algorithms allow computers to learn from large amounts of data and are known for advancing the state of the art in the artificial intelligence field, leading to smarter cancer treatments ...

Once an algorithm is trained on massive datasets to recognize patterns, make decisions, and generate insights, it becomes an AI model. The more data it has been trained on, the more accurate it is.

Deep learning (DL) methods offer a promising solution by reconstructing raw, low-quality data into high-resolution images, helping to preserve diagnostic accuracy even under time constraints.

MARBLE: interpretable representations of neural population dynamics using geometric deep learning. Nature Methods, 2025; DOI: 10.1038/s41592-024-02582-2 ...