Advanced Artificial Intelligence Applications in Radiology
The advanced artificial intelligence applications used at our center are software solutions developed to support the radiologist’s evaluation process. These systems assist with quantitative measurements of images, comparisons with previous examinations, and more careful assessment of certain findings that may be difficult to detect with the human eye.
Artificial intelligence applications are supportive tools that provide physicians with additional data during the diagnostic and reporting process. The final evaluation and reporting are always performed by a radiologist. This approach may contribute to more standardized, comparable, and detailed assessments, particularly in conditions requiring follow-up.
Artificial Intelligence Applications in Brain Imaging
- Automatic measurement and quantitative assessment of brain volume
- Support in evaluating patterns of volume loss in Alzheimer’s disease and other forms of dementia
- Analyses that assist in distinguishing changes associated with normal aging from disease-related changes
- Monitoring lesion burden in patients with multiple sclerosis (MS)
- Support in detecting newly developed, enlarging, or regressing lesions through comparison with previous examinations
In Brain Tumor Follow-up
- Measurements that assist in monitoring changes in tumor volume
- Contributing to a more objective assessment of changes in mass size over time during post-treatment follow-up
In Breast Imaging
- Applications that assist with artificial intelligence-supported analysis of breast images
- Support for the reporting process in accordance with the BI-RADS assessment system
In Prostate Imaging
- Analyses that assist in the evaluation of lesions on prostate MRI examinations
- Support for the reporting process according to the PI-RADS system
In Lung Imaging
- Software that assists in the evaluation of pulmonary nodules, masses, and fibrotic changes
- Support for monitoring changes in size, extent, or appearance through comparative analysis with previous examinations
- Contributing to a more systematic assessment of findings that may require attention for progression in certain cases
Advanced artificial intelligence applications in radiology are not systems that replace the physician, but rather supportive technologies that enhance the physician’s evaluation. At our center, these technologies are used together with the expertise of our radiologists to contribute to more detailed, comparable, and standardized assessments.
“Artificial intelligence supports the physician; the final decision is made by the physician.”
We have compiled the most frequently asked questions about advanced artificial intelligence applications in radiology. Here, you can find answers to a wide range of questions—from AI's role in imaging technologies and its contribution to diagnostic processes to issues regarding safety and areas of application.
Artificial intelligence in radiology refers to the use of advanced software and algorithms that assist in the analysis of medical images. These systems can help detect abnormalities in images more quickly and accurately.
Artificial intelligence supports doctors by analyzing data obtained from X-rays, MRI, CT, and other imaging methods. It plays an important role particularly in early diagnosis, image interpretation, and reporting processes.
Artificial intelligence can analyze images more quickly, help detect small or early-stage findings, and contribute to a more efficient diagnostic process.
Artificial intelligence can assist in evaluating images for lung diseases, tumors, bone fractures, vascular diseases, and certain neurological conditions.
Yes, since artificial intelligence can analyze images quickly, it can help accelerate the reporting process in certain situations.
Artificial intelligence systems can achieve high accuracy rates because they are trained on extensive datasets. However, the definitive diagnosis and interpretation are always made by a radiologist.