Present and future application of artificial intelligence in clinical drug

The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence. Each chapter presents information on related sub-topics in a reader-friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence. Shigao Huang obtained his PhD from the University of Macau and focused on precision medicine, such as immunotherapy for cancer, nano-medicine, and radiotherapy for cancer. He has published over 30 SCI papers and has worked as a peer reviewer in many reputable journals.