The rapid acceleration of technological progress is not a revelation; however, what has been unexpected is the surge of excitement that has been generated in the field of medicine, according to the findings of a study conducted by McKinney et al. evaluating the capacity of an AI system to forecast breast cancer. In the United States, artificial intelligence resulted in a reduction of 5.7% in false positives and a reduction of 9.4% in false negatives, when compared with the results produced by human experts. The artificial intelligence system performed 11.5% better than any human reader on average, giving it a clear advantage over their work. Researchers and medical professionals will utilize big data in its most fundamental form in order to improve pattern recognition. So, I believe that by the year 2030, those working in the medical field anticipate that machine-based radiology, pathology, and radiation planning will be standard practice.