X-ray artificial intelligence refers to machine learning systems trained to interpret X-ray crystallography data, automate structural analysis, and predict molecular configurations with unprecedented speed and accuracy. These AI models are transforming how researchers solve protein structures, accelerate drug discovery, and analyze complex biomolecular interactions that were once prohibitively time-consuming to decode manually.
The convergence of X-ray diffraction techniques and deep learning represents one of the most significant advances in structural biology since the invention of synchrotron radiation sources. Traditional X-ray …
