The rapid advancement of intelligent medical systems has reshaped the concept of healthcare, with an increasing focus on the analysis and interpretation of medical data. These systems rely on processing electronic health records, medical images, and vital signs to support diagnosis and treatment. However, this trend raises a critical question: do these systems truly treat the disease, or do they primarily focus on processing the data associated with it? From a technical perspective, data constitute the foundation upon which intelligent systems build their decisions, as they are used to detect patterns and predict health risks. This approach has improved diagnostic accuracy and enabled more personalized treatment. At the same time, however, it may reduce the medical condition to a set of numerical values. In this context, the patient may be viewed more as a source of data than as a human being experiencing a comprehensive and multifaceted illness. An excessive focus on data may overlook essential aspects of disease that are not easily measurable, such as psychological distress, anxiety, and the impact of illness on quality of life. Moreover, the quality of decisions produced by intelligent systems depends directly on the quality of the input data, making them vulnerable to errors if the data are incomplete or inaccurate. Accordingly, the effectiveness of intelligent medical systems is not achieved through data processing alone, but through their ability to support physicians in understanding disease within its full human context. The integration of digital analysis with clinical insight ensures that technology remains a means to enhance healthcare rather than an end in itself, and redirects attention toward treating the human being—not just the data. Al-Mustaqbal University, the first university in Iraq.