How Does Artificial Intelligence Help Cancer Diagnosis And Treatment?

     On November 22, the academic monograph "Intelligent Oncology" edited by Professor Xu Bo, a Chongqing oncology expert, was officially published recently.  

     Professor Xu Bo introduced that in recent years, the incidence of malignant tumors has remained high worldwide, posing a huge threat to human health. With the rapid development of artificial intelligence technology, its applications in the medical field are increasing. How to apply new technologies to improve the diagnosis and treatment of tumors has become an urgent problem that needs to be solved.

     In this context, Professor Xu Bo proposed the concept of "intelligent oncology" for the first time, hoping to systematically and comprehensively integrate artificial intelligence and clinical oncology through interdisciplinary concepts to promote the research, development and application of oncology artificial intelligence.

     Intelligent oncology is an interdisciplinary discipline that integrates clinical oncology, imaging, pathology, genomics and computer science, covering knowledge from clinical medicine, big data, cloud computing, artificial intelligence and other related disciplines. "Specifically, artificial intelligence technology is used to solve problems encountered in early screening and prevention, clinical diagnosis and treatment, prognosis prediction and evaluation of malignant tumors," said Professor Xu Bo.

     This article systematically discusses the start, current situation and future plans of intelligent oncology. It is a professional book for clinicians, scientists and artificial intelligence experts. At the same time, the book can guide young doctors to learn more clinical experience quickly and accurately using artificial intelligence technology, and formulate treatment plans based on effective evidence given by intelligent algorithms.