Chinenye Azoba

1 Introduction Artificial intelligence (AI) algorithms, which broadly include those implementing machine learning, neural networks, and/or deep learning methods, have great potential to revolutionize oncology [1, 2]. Recent years have seen a substantial rise in research, implementation, and marketing for AI applications across the cancer care continuum, including screening, diagnosis, prognostication, patient decision support, treatment, and surveillance [1, 2].