We address biopsy limitations with an AI-driven approach using Computer Vision, deep learning, and neural networks. By correlating PET, CT/MRI scans, and historical biopsy data, we aim to build a predictive model that non-invasively determines biopsy results, reducing the risks and drawbacks of traditional biopsy methods.