Artificial intelligence (AI) has become one of the most promising technologies for improving the early diagnosis of cancer. Machine learning and deep learning algorithms can analyze medical images, pathology slides, genomic data, and electronic health records with remarkable speed and accuracy. This study reviews the role of AI in detecting cancer at its earliest stages and evaluates its advantages, limitations, and clinical applications. The article follows the IMRAD scientific structure and synthesizes recent evidence from oncology, medical imaging, and computational medicine.
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Mavlonkhonova et al. (2026) studied this question.
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