RESUMO
Breast cancer is the most common cause of cancer death in women and the second cause in the general population. The incidence has increased over time. Women in developing countries often present at an advanced stage where initial surgery is not feasible. Short disease-free intervals, the number of metastatic organs and liver metastasis were consistently associated with poor overall survival. Surgery is an integral part of the therapeutic plan for locally advanced breast cancer. The integration of surgical care into the management of patients with advanced cancer has changed substantially with the use of neoadjuvant chemotherapy. Also, more recently, neoadjuvant endocrine therapy and targeted therapies offer new opportunities to downsize the tumor burden and transform the role of surgery for this population from palliation to largely curative intent. Innovative surgical approach to the primary tumor in metastatic disease may provide survival benefits and local control in some patients. Similar to systemic therapy, surgical therapy for secondary dissemination should be considered in certain cases for improved individual outcomes. Advances in reconstructive techniques have improved the quality of life of these patients.
RESUMO
Background: Ideas about Artificial intelligence appeared about half a century ago, but only now is it becoming an essential element of everyday life. The data provided are becoming a bigger pool and we need artificial intelligence that will help us with its superhuman powers. Its interaction with medicine is improving more and more, with medicine being a domain that continues to be perfected. Materials and Methods: The most important databases were used to perform this detailed search that addresses artificial intelligence in the medical and surgical fields. Discussion: Machine learning, deep learning, neural networks and computer vision are some of the mechanisms that are becoming a trend in healthcare worldwide. Developed countries such as Japan, France and Germany have already implemented artificial intelligence in their medical systems. The help it gives is in medical diagnosis, patient monitoring, personalized therapy and workflow optimization. Artificial intelligence will help surgeons to perfect their skills, to standardize techniques and to choose the best surgical techniques. Conclusions: The goal is to predict complications, reduce diagnostic times, diagnose complex pathologies, guide surgeons intraoperatively and reduce medical errors. We are at the beginning of this, and the potential is enormous, but we must not forget the impediments that may appear and slow down its implementation.