The Role of Artificial Intelligence in Early Disease Diagnosis and Medical Imaging

Authors

  • Dr. Erik Lindström Baltic Research University, Stockholm, Sweden

Keywords:

Artificial Intelligence; Early Disease Diagnosis; Medical Imaging; Machine Learning

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in modern healthcare, particularly in the fields of early disease diagnosis and medical imaging. By integrating advanced algorithms, machine learning techniques, and large datasets, AI systems can analyze complex medical information with high speed and accuracy. This capability allows healthcare professionals to detect diseases at earlier stages, improve diagnostic precision, and support better clinical decision-making. the role of artificial intelligence in enhancing early disease detection through medical imaging technologies such as X-rays, magnetic resonance imaging (MRI), computed tomography (CT) scans, and ultrasound. AI-based systems can process large volumes of imaging data and identify patterns that may not be easily visible to the human eye. Machine learning and deep learning models are particularly effective in recognizing subtle abnormalities associated with conditions such as cancer, cardiovascular diseases, neurological disorders, and lung infections.

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Published

10-06-2026

Issue

Section

Articles and Statements