Artificial intelligence has become an indispensable tool in supporting physicians during the stages of medical diagnosis. Algorithms are used to analyze medical imaging, laboratory reports, and health records to detect pathological indicators with high precision. These systems help in the early detection of diseases before they progress to dangerous stages. They can also compare the patient’s current condition with thousands of previous cases to determine the best diagnostic path. This enhances diagnostic accuracy and reduces the rate of human error.
One of the most successful applications of these systems is the early detection of cancerous tumors using deep learning. CT or MRI scans are analyzed to detect subtle cellular changes. In many cases, these systems can identify signs of disease even in its earliest stages, when symptoms are still unclear. This gives doctors the opportunity for early intervention and increases the chances of recovery. Studies show that diagnostic accuracy rates can reach over 90% in some models.
Despite the precision of intelligent systems, the role of the human physician in making the final decision cannot be replaced. These technologies are used as supportive tools that enhance the doctor’s decisions rather than replace them. Results must always be verified and interpreted within the clinical context of each individual case. Moreover, the physician has the ability to assess psychological and social factors that may not be reflected in digital data. The integration of human expertise with technology is the key to achieving comprehensive healthcare.
Al-Mustaqbal University – The First University in Iraq