Abstract
Artificial Intelligence causes new transformations in the medical world. Today, YZ doctors can help them to make faster, more accurate diagnoses, predict disease risk to prevent diseases beforehand, and help researchers understand how genetic variations lead to disease. Although YZ has existed for years, it has created an explosion in recent years with şek deep learning öğrenme which is a new form of learning. Thanks to this new YZ technique, self-driving tools, super-human image recognition and life-changing, even life-saving developments have been possible. Deep learning helps researchers analyze medical data for the treatment of disease, increases the ability of physicians to analyze medical images, and contributes significantly to the future of the personalized drug. Basically three trends lead the DL revolution. These are more powerful GPUs (graphics processing units), advanced neural network algorithms that model the human brain, and access data from the Internet. As a result, deep learning technology with such a great potential has many things to add to our health practices as a country. What is happening in the world in this area should be followed soon. Health practices that change and protect human life can be developed by our valuable researchers with the support of the state and the cooperation of health institutions and these applications can be successfully integrated into the health system. This research paper presented in this context contributes to the field.