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@article{187189,
        author = {Vinit V Bajoria and Rushikesh V Khillari and Dhanshree S. Nibrad and Dr. Nilesh O. Chachda},
        title = {Artificial Intelligence in Early Detection of Cancer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {4987-5002},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187189},
        abstract = {Cancer is still one of the world's top causes of death, and improving survival rates and treatment outcomes depends on early detection. Artificial intelligence (AI) has advanced so quickly in recent years that it has revolutionized cancer diagnosis by improving accuracy, speed, and accessibility. With an emphasis on its uses in clinical decision support, genetics, and medical imaging, this research investigates the role of AI in early cancer diagnosis. A number of AI methods, such as convolutional neural networks (CNNs), deep learning (DL), and machine learning (ML), have shown exceptional accuracy in detecting malignant tumours on imaging modalities like CT, MRI, and mammography. Personalized risk assessment, increased diagnostic efficiency, and a notable decrease in false-positive and false-negative rates have all been made possible by AI-assisted technologies. Adema’s, combination genomics multinomial intelligence artificial Brinda compression integral biological tumoral, toque permit oftener concipient’s predictive medicinal de precision. Despite these limitations, AI holds immense promise for revolutionizing oncology by enabling earlier and more accurate cancer detection, optimizing treatment strategies, and ultimately improving patient outcomes. Continued interdisciplinary collaboration, regulatory oversight, and ethical governance will be essential to fully realize AI’s potential in cancer care.},
        keywords = {Artificial Intelligence, Cancer Detection, Deep Learning, Early Diagnosis, Genomics, Machine Learning, Medical Imaging, Precision Medicine},
        month = {November},
        }