One of the important applications of AI in Medicine is supporting the diagnostic process. Healthcare professionals often need to review medical images, laboratory results, patient histories, and other information when evaluating a patient's condition. Artificial intelligence can process certain types of medical data and recognize patterns that may help professionals decide what information deserves closer attention. AI-powered imaging tools, for example, can assist with the analysis of X-rays, CT scans, MRI images, and other diagnostic materials in appropriate clinical settings. This does not mean that AI independently determines a patient's diagnosis. Instead, it can act as a decision-support tool for qualified healthcare professionals. AI may also help organize information and reduce the amount of manual review required for certain repetitive tasks. The effectiveness of an AI system depends on the quality of its training data, validation, and implementation. Human oversight remains essential, particularly when decisions have significant consequences for patients. As technology develops, AI in Medicine may provide additional support for diagnostic workflows while maintaining doctors and medical specialists as the primary decision-makers.