Названия:
AUTOMATED PNEUMONIA DIAGNOSIS USING AI AND MEDICAL IMAGING
Автор:
Aysha Atageldiyeva, Rahman Myradov, Sapartach Hojabalkanova
Расположение страниц:
77-81
Язык:
Английский
Аннотация:
The integration of Artificial Intelligence (AI) into medical imaging has revolutionized pneumonia diagnosis, providing rapid, accurate, and cost-effective solutions. Traditional diagnostic methods, such as chest X-rays and CT scans, rely on radiologists' expertise, which can be time-consuming and prone to human error. AI-powered models, particularly deep learning and convolutional neural networks (CNNs), enable automated detection and classification of pneumonia with high precision. This paper explores AI techniques used in pneumonia diagnosis, the benefits and challenges of AI integration in medical imaging, real-world applications, and future perspectives in AI-driven healthcare.