Analysis of the Impacts of Consuming Red and Processed Meat on Colorectal Cancer and the role of Machine Learning in Clinical Diagnostics

Phenomenal advancement in modernistic technology has allowed researchers to make any desire they can imagine come true. However, even in today's sophisticated technology environment, the medical world is desperately trying to decrease the tremendous mortality caused by cancer every year. Furthermore, they are constantly investigating if the food we eat daily affects the impact of cancer. Therefore, in this systematic analysis, we reviewed the daily diet, which is widely suspected of causing changes in the effects of cancer. It also expresses the tremendous growth that has occurred in the medical industry due to the advent of artificial intelligence and machine learning. Intake of meat and its variants (red and processed meat) is believed to raise cancer hazards; however, data to support this proof has been contradictory. Consequently, a comprehensive review and meta-analysis of the evidence linking red meat, processed meat, and its subgroups to colorectal cancer (CRC) incidence were conducted. CRC hazards are associated with red and processed meat ingestion. Conversely, whole grains, veggies, fruits, cruciferous vegetables (cabbage and broccoli), milk, dairy products, eggs, and white meat have been related to a low risk of CRC. Surprisingly, our findings demonstrate that traditional diets in many countries are related to a lower risk of all forms of cancer.