Artificial intelligence is rapidly redefining the way healthcare professionals create, interpret, and evaluate medical records. In clinical practice, AI tools now assist with symptom assessment, imaging analysis, predictive diagnostics, and automated documentation — capabilities that have the potential to improve efficiency, accuracy, and accessibility. Concurrently, these technologies are transforming how medical evidence is reviewed for Social Security disability evaluations, creating both opportunities and challenges for quality assurance, error reduction, and fraud prevention. As adoption expands, it is critical for clinicians, informaticians, policymakers, and evaluators to understand AI’s impact on the integrity of medical documentation and the decision-making processes it informs.