Acta Infologica

Yazarlar: Furkan ATLAN, İhsan PENÇE

Konular:Bilgisayar Bilimleri, Bilgi Sistemleri

Anahtar Kelimeler:Medical imaging technologies,Artificial intelligence,Computer-aided diagnosis systems

Özet: Nowadays, the use of artificial intelligence is increasing steadily, particularly in the health sector. Deep learning, which is a sub-branch of artificial intelligence, is frequently preferred in the processing and interpretation of medical images, because it provides fruitful outcomes in image processing. Despite the development in medical imaging technologies and the increasing accuracy rate of disease diagnosis, accurate interpretation of these images by experts is time consuming, and unfavorable conditions may arise during treatment. For this reason, automated diagnostic systems are created using artificial intelligence, and these systems are improving gradually, owing to the evolution of several technologies and algorithms. This study aimed to provide information on the use of artificial intelligence in medical imaging with due consideration of all factors and create a base infrastructure for researchers in this field. To achieve this, previously artificial intelligence and medical imaging were discussed separately, placing more emphasis on medical imaging technologies. However, at present, potential problems and solutions in the use of artificial intelligence in medical imaging are clearly stated. In conclusion, by conducting more studies on the processing of medical images using artificial intelligence, the theoretical integrity of this field will become possible.

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