News Release

Present and future application of artificial intelligence in clinical drug

Business Announcement

Bentham Science Publishers

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.

Topics covered in the book include:

1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. 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.

About the Editor:

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. He is also an editorial board member of Otolaryngology-Head and Neck Surgery and an associate editor in Technology in Cancer Research & Treatment. Moreover, he is also a lead guest editor in the Cancer Control journal.

Keywords:

machine learning, carcinomas, Artificial Intelligence, pulmonary nodules

For further information, please visit: https://bit.ly/3xJFQi6

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