Accurate and rapid diagnosis is essential for correct treatment in rectal cancer.
Determining the optimal treatment plan for a patient with rectal cancer is a
complex process, and the oncological results and toxicity are not the same in
every patient with the same treatment at the same stage. In recent years, the
increasing interest in artificial intelligence in all fields of science has also led to the
development of innovative tools in oncology. Artificial intelligence studies have
increased in many steps from diagnosis to follow-up in rectal cancer. It is thought
that artificial intelligence will provide convenience in many ways from
personalized treatment to reducing the workload of the physician. Prediction
algorithms can be standardized by sharing data between centers, diversifying
data, and creating big data.