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Current and Future Application of Artificial Intelligence in Clinical Medicine

"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 insti...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Huang, Shigao
Otros Autores: Yang, Jie
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sharjah : Bentham Science Publishers, 2021.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Huang, Shigao. 
245 1 0 |a Current and Future Application of Artificial Intelligence in Clinical Medicine  |h [electronic resource]. 
260 |a Sharjah :  |b Bentham Science Publishers,  |c 2021. 
300 |a 1 online resource (154 p.) 
500 |a Description based upon print version of record. 
505 0 |a Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Preface -- Acknowledgements -- List of Contributors -- Artificial Intelligence (AI) in Cancer Diagnosis and Prognosis -- Parsa Mahmood Dar1,*, Amara Dar2 and Komal Hayat3 -- 1. INTRODUCTION -- 2. MAJOR CANCER TYPE -- 2.1. Lung Cancer -- 2.2. Breast Cancer -- 2.3. Prostate Cancer -- 2.4. Colorectal Cancer -- 2.5. Development in Diagnostic Tools -- 3. ARTIFICIAL INTELLIGENCE (AI) IN PRECISION MEDICINE -- 4. CHALLENGES FOR AI IN CANCER TREATMENT -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT 
504 |a REFERENCES -- Alternative or Auxiliary: Artificial Intelligence Accelerates the Development and Transformation of the Medical Care -- Jie Yang1,2,*, Quanyi Hu1, Rui Tang3, Han Wang4,5, Kairong Duan1,6, Feng Wu5 and Simon Fong1,5 -- 1. INTRODUCTION -- 2. ABOUT ARTIFICIAL INTELLIGENCE -- 3. APPLICATION STATUS AND DEVELOPMENT PROSPECTS IN THE MEDICAL INDUSTRY -- 3.1. Current Status of the Application of AI -- 3.1.1. Intelligent Services in the Ageing Society -- 3.1.2. Smart Ward -- 3.1.3. Hazard Warning Identification -- 3.1.4. Assistance in Disease Diagnosis. 
505 8 |a 3.1.5. Assistance in Drug Development and Disease Treatment -- 3.1.6. Gene Sequencing -- 3.2. Development Prospects of AI -- 3.2.1. Cancer Management: The Combination of Tumor Organic Chips and AI -- 3.2.2. Clinical Decision Support: Intelligent Data Integration -- 4. THINKING AND PROSPECT -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Rethinking Artificial Intelligence in China's COVID-19 Pandemic -- Qichao Wang1,* -- 1. INTRODUCTION -- 2. THE COVID-19 AND AI APPLICATION IN CHINA -- 2.1. Big Data, Population Management, and Transportation 
505 8 |a 2.2. AI-based Medical System Against COVID in China -- 2.3. AI-Based Public Policy Against COVID-19 in China -- 2.4. AI Enterprises and Societal Research And Development in China -- 3. AI AS A GENERAL-PURPOSE TECHNOLOGY OF COVID-19 IN CHINA -- 4. CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Artificial Intelligence System and its Application in Clinical Oncology -- Shigao Huang1,*, Jie Yang2,3, Qun Song2, Kexing Liu2, Simon Fong2,4 and Qi Zhao1 -- 1. INTRODUCTION -- 2. DEVELOPMENT OF AN AI SYSTEM -- 2.1. Establish a Knowledge Base 
505 8 |a 2.2. Building Knowledge Map -- 3. MAN-MACHINE COMMUNICATION INTERFACE -- 4. AI CLINICAL VALIDATION -- 4.1. Phase I Clinical Research -- 4.2. Phase II Clinical Research -- 4.3. Phase III Clinical Research -- 4.4. Phase IV Clinical Research -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Current Medical Imaging and Artificial Intelligence and its Future -- Shigao Huang1, Jie Yang2,3, Lijian Tan3, Simon Fong2,4 and Qi Zhao1 -- 1. INTRODUCTION -- 2. PROCESS OF AI IN MEDICAL IMAGING -- 2.1. Develop Standardized Use Cases -- 2.2. Establish a Data Sharing Method 
500 |a 2.3. Assess Clinical Practice and Infrastructure Needs. 
520 |a "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."-- Provided by publisher. 
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650 0 |a Artificial intelligence  |x Medical applications. 
650 2 |a Artificial Intelligence 
650 6 |a Intelligence artificielle. 
650 6 |a Intelligence artificielle en médecine. 
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653 |a Clinical Medicine 
653 |a Medical 
700 1 |a Yang, Jie. 
776 0 8 |i Print version:  |a Huang, Shigao  |t Current and Future Application of Artificial Intelligence in Clinical Medicine  |d Sharjah : Bentham Science Publishers,c2021  |z 9781681088426 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6676565  |z Texto completo 
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