Artificial Intelligence for Cancer Diagnosis and Prognosis: Current Status and Future Directions

The medical field and public health care has achieved radical progress in the last age, the original reasons behind abundant conditions were disclosed, novel symptomatic forms were devised, and new cures were developed. The second leading cause of death is cancer. worldwide afflicting approximately six out of every ten people. Variants of the lungs and colon of all cancers are those that prevalent and most fatal. However, detecting the disease in its infancy increases the odds of survival dramatically. Over the last three decades, the number of cancer victims and the scope of cancer survivability research has increased. This chapter provides a review of all types of cancer prediction with interventional and observational cancer survivorship research efforts. The treatment of cancer type is increasingly required in early cancer research. The advancement of healthcare research has been boosted by artificial intelligence. Researchers have developed program to help cancer identification and prognosis due to the availability of open-source healthcare statistics. In these conditions, DL and ML models give a dependable, quick, and effective method for dealing with such difficult diseases. Cancer categorization is a contentious issue in medicine since it allows for precise and effective diagnosis and promotes a favorable outcome in medical therapies.