Editors: Shigao Huang, Jie Yang

Current and Future Application of Artificial Intelligence in Clinical Medicine

eBook: US $44 Special Offer (PDF + Printed Copy): US $75
Printed Copy: US $53
Library License: US $176
ISBN: 978-1-68108-842-6 (Print)
ISBN: 978-1-68108-841-9 (Online)
Year of Publication: 2021
DOI: 10.2174/97816810884191210101

Introduction

Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. 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.

Preface

- Pp. i
Shigao Huang
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Acknowledgement

- Pp. ii
Shigao Huang
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List of Contributors

- Pp. iii-iv (2)
Shigao Huang
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Artificial Intelligence (AI) in Cancer Diagnosis and Prognosis

- Pp. 1-15 (15)
Parsa Mahmood Dar*, Amara Dar and Komal Hayat

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Alternative or Auxiliary: Artificial Intelligence Accelerates the Development and Transformation of the Medical Care

- Pp. 16-31 (16)
Jie Yang*, Quanyi Hu, Rui Tang, Han Wang, Kairong Duan, Feng Wu and Simon Fong

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Rethinking Artificial Intelligence in China’s COVID-19 Pandemic

- Pp. 32-45 (14)
Qichao Wang*

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Artificial Intelligence System and its Application in Clinical Oncology

- Pp. 46-58 (13)
Shigao Huang*, Jie Yang, Qun Song, Kexing Liu, Simon Fong and Qi Zhao

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Current Medical Imaging and Artificial Intelligence and its Future

- Pp. 59-81 (23)
Shigao Huang*, Jie Yang, Lijian Tan, Simon Fong and Qi Zhao

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Artificial Intelligence Played an Active Role in the COVID-19 Epidemic in China

- Pp. 82-85 (4)
Shigao Huang*, Jie Yang, Xianxian Liu, Simon Fong and Qi Zhao

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Current Status and Future Outlook of Deep Learning Techniques For Nodule Detection

- Pp. 86-95 (10)
Shigao Huang*, Jie Yang, Kun Lan, Sunny Yaoyang Wu, Simon Fong and Qi Zhao

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Artificial Intelligence-Based Mining of Benign and Malignant Characteristics of Pulmonary Ground- Glass Nodules

- Pp. 96-108 (13)
Xiaoxia Li, Ting Gao and Shigao Huang*

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Development of Artificial Intelligence in Imaging and Pathology

- Pp. 109-131 (23)
Gang Liu and Tao Qi*

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Subject Index

- Pp. 132-140 (9)
Shigao Huang
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