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Computational intelligence and healthcare informatics / / edited by Om Prakash Jena [and three others]
Computational intelligence and healthcare informatics / / edited by Om Prakash Jena [and three others]
Pubbl/distr/stampa Beverly, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , [2021]
Descrizione fisica 1 online resource (448 pages)
Disciplina 610.285
Collana Machine learning in biomedical science and healthcare informatics
Soggetto topico Artificial intelligence - Medical applications
Medical informatics
Computational intelligence
ISBN 1-119-81869-9
1-119-81871-0
1-119-81870-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Matter -- Introduction. Machine Learning and Big Data: An Approach Toward Better Healthcare Services / Nahid Sami, Asfia Aziz -- Medical Data Processing and Analysis. Thoracic Image Analysis Using Deep Learning / Rakhi Wajgi, Jitendra V Tembhurne, Dipak Wajgi -- Feature Selection and Machine Learning Models for High-Dimensional Data: State-of-the-Art / G Manikandan, S Abirami -- A Smart Web Application for Symptom-Based Disease Detection and Prediction Using State-of-the-Art ML and ANN Models / Parvej Reja Saleh, Eeshankur Saikia -- Classification of Heart Sound Signals Using Time-Frequency Image Texture Features / Sujata Vyas, Mukesh D Patil, Gajanan K Birajdar -- Improving Multi-Label Classification in Prototype Selection Scenario / Himanshu Suyal, Avtar Singh -- A Machine Learning-Based Intelligent Computational Framework for the Prediction of Diabetes Disease / Maqsood Hayat, Yar Muhammad, Muhammad Tahir -- Hyperparameter Tuning of Ensemble Classifiers Using Grid Search and Random Search for Prediction of Heart Disease / Fathima M Dhilsath, S Justin Samuel -- Computational Intelligence and Healthcare Informatics Part III-Recent Development and Advanced Methodologies / Sankar Pariserum Perumal, Ganapathy Sannasi, Kumar SVN Santhosh, Kannan Arputharaj -- Wolfram's Cellular Automata Model in Health Informatics / Sutapa Sarkar, Mousumi Saha -- Machine Learning and COVID Prospective. COVID-19: Classification of Countries for Analysis and Prediction of Global Novel Corona Virus Infections Disease Using Data Mining Techniques / Sachin Kamley, Shailesh Jaloree, RS Thakur, Kapil Saxena -- Sentiment Analysis on Social Media for Emotional Prediction During COVID-19 Pandemic Using Efficient Machine Learning Approach / Kalimuthu Sivanantham -- Primary Healthcare Model for Remote Area Using Self-Organizing Map Network / Sayan Das, Jaya Sil -- Face Mask Detection in Real-Time Video Stream Using Deep Learning / Alok Negi, Krishan Kumar -- A Computational Intelligence Approach for Skin Disease Identification Using Machine/Deep Learning Algorithms / Swathi Jamjala Narayanan, Pranav Raj Jaiswal, Ariyan Chowdhury, Amitha Maria Joseph, Saurabh Ambar -- Asymptotic Patients' Healthcare Monitoring and Identification of Health Ailments in Post COVID-19 Scenario / Pushan KR Dutta, Akshay Vinayak, Simran Kumari -- COVID-19 Detection System Using Cellular Automata-Based Segmentation Techniques / Rupashri Barik, M Nazma, B J Naskar, Sarbajyoti Mallik -- Interesting Patterns From COVID-19 Dataset Using Graph-Based Statistical Analysis for Preventive Measures / C B Abhilash, Kavi Mahesh -- Prospective of Computational Intelligence in Healthcare. Conceptualizing Tomorrow's Healthcare Through Digitization / Riddhi Chatterjee, Ratula Ray, Satya Ranjan Dash, Om Prakash Jena -- Domain Adaptation of Parts of Speech Annotators in Hindi Biomedical Corpus: An NLP Approach / Pitambar Behera, Om Prakash Jena -- Application of Natural Language Processing in Healthcare / Khushi Roy, Subhra Debdas, Sayantan Kundu, Shalini Chouhan, Shivangi Mohanty, Biswarup Biswas -- Index
Record Nr. UNINA-9910677970903321
Beverly, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational intelligence and healthcare informatics / / edited by Om Prakash Jena [and three others]
Computational intelligence and healthcare informatics / / edited by Om Prakash Jena [and three others]
Pubbl/distr/stampa Beverly, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , [2021]
Descrizione fisica 1 online resource (448 pages)
Disciplina 610.285
Collana Machine learning in biomedical science and healthcare informatics
Soggetto topico Artificial intelligence - Medical applications
Medical informatics
Computational intelligence
ISBN 1-119-81869-9
1-119-81871-0
1-119-81870-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Matter -- Introduction. Machine Learning and Big Data: An Approach Toward Better Healthcare Services / Nahid Sami, Asfia Aziz -- Medical Data Processing and Analysis. Thoracic Image Analysis Using Deep Learning / Rakhi Wajgi, Jitendra V Tembhurne, Dipak Wajgi -- Feature Selection and Machine Learning Models for High-Dimensional Data: State-of-the-Art / G Manikandan, S Abirami -- A Smart Web Application for Symptom-Based Disease Detection and Prediction Using State-of-the-Art ML and ANN Models / Parvej Reja Saleh, Eeshankur Saikia -- Classification of Heart Sound Signals Using Time-Frequency Image Texture Features / Sujata Vyas, Mukesh D Patil, Gajanan K Birajdar -- Improving Multi-Label Classification in Prototype Selection Scenario / Himanshu Suyal, Avtar Singh -- A Machine Learning-Based Intelligent Computational Framework for the Prediction of Diabetes Disease / Maqsood Hayat, Yar Muhammad, Muhammad Tahir -- Hyperparameter Tuning of Ensemble Classifiers Using Grid Search and Random Search for Prediction of Heart Disease / Fathima M Dhilsath, S Justin Samuel -- Computational Intelligence and Healthcare Informatics Part III-Recent Development and Advanced Methodologies / Sankar Pariserum Perumal, Ganapathy Sannasi, Kumar SVN Santhosh, Kannan Arputharaj -- Wolfram's Cellular Automata Model in Health Informatics / Sutapa Sarkar, Mousumi Saha -- Machine Learning and COVID Prospective. COVID-19: Classification of Countries for Analysis and Prediction of Global Novel Corona Virus Infections Disease Using Data Mining Techniques / Sachin Kamley, Shailesh Jaloree, RS Thakur, Kapil Saxena -- Sentiment Analysis on Social Media for Emotional Prediction During COVID-19 Pandemic Using Efficient Machine Learning Approach / Kalimuthu Sivanantham -- Primary Healthcare Model for Remote Area Using Self-Organizing Map Network / Sayan Das, Jaya Sil -- Face Mask Detection in Real-Time Video Stream Using Deep Learning / Alok Negi, Krishan Kumar -- A Computational Intelligence Approach for Skin Disease Identification Using Machine/Deep Learning Algorithms / Swathi Jamjala Narayanan, Pranav Raj Jaiswal, Ariyan Chowdhury, Amitha Maria Joseph, Saurabh Ambar -- Asymptotic Patients' Healthcare Monitoring and Identification of Health Ailments in Post COVID-19 Scenario / Pushan KR Dutta, Akshay Vinayak, Simran Kumari -- COVID-19 Detection System Using Cellular Automata-Based Segmentation Techniques / Rupashri Barik, M Nazma, B J Naskar, Sarbajyoti Mallik -- Interesting Patterns From COVID-19 Dataset Using Graph-Based Statistical Analysis for Preventive Measures / C B Abhilash, Kavi Mahesh -- Prospective of Computational Intelligence in Healthcare. Conceptualizing Tomorrow's Healthcare Through Digitization / Riddhi Chatterjee, Ratula Ray, Satya Ranjan Dash, Om Prakash Jena -- Domain Adaptation of Parts of Speech Annotators in Hindi Biomedical Corpus: An NLP Approach / Pitambar Behera, Om Prakash Jena -- Application of Natural Language Processing in Healthcare / Khushi Roy, Subhra Debdas, Sayantan Kundu, Shalini Chouhan, Shivangi Mohanty, Biswarup Biswas -- Index
Record Nr. UNINA-9910824957703321
Beverly, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational intelligence for COVID-19 and future pandemics : emerging applications and strategies / / edited by Utku Kose [and three others]
Computational intelligence for COVID-19 and future pandemics : emerging applications and strategies / / edited by Utku Kose [and three others]
Pubbl/distr/stampa Gateway East, Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (435 pages)
Disciplina 610.28563
Collana Disruptive Technologies and Digital Transformations for Society 5. 0
Soggetto topico Computational intelligence
Artificial intelligence - Medical applications
Machine learning
ISBN 981-16-3782-2
981-16-3783-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910743376003321
Gateway East, Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational intelligence in biomedical imaging / / Kenji Suzuki, editor
Computational intelligence in biomedical imaging / / Kenji Suzuki, editor
Edizione [1st ed. 2014.]
Pubbl/distr/stampa New York : , : Springer, , 2014
Descrizione fisica 1 online resource (xv, 406 pages) : illustrations (some color)
Disciplina 006.3
006.6
610.28
616.07/540285
Collana Gale eBooks
Soggetto topico Artificial intelligence - Medical applications
Computational intelligence
Imaging systems in medicine
ISBN 1-4614-7245-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Brain Disease Classification and Progression using Machine Learning Techniques -- The Role of Content-Based Image Retrieval in Mammography CAD -- A Novel Image-based Approach for Early Detection of Prostate Cancer using DCE-MRI -- Computational Intelligent Image Analysis for Assisting Radiation Oncologists’ Decision Making in Radiation Treatment Planning -- Computational Anatomy in the Abdomen: Automated Multi-Organ and Tumor Analysis from Computed Tomography -- Liver Volumetry in MRI by using Fast Marching Algorithm Coupled with 3D Geodesic Active Contour Segmentation -- Computer-aided Image Analysis for Vertebral Anatomy on X-ray CT Images -- Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning and Level Set Optimization -- Bone Suppression in Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined with Total Variation Minimization Smoothing and Consistency Processing -- Image Segmentation for Connectomics using Machine Learning -- Image Analysis Techniques for the Quantification of Brain Tumors on MR Images -- Respiratory and Cardiac Function Analysis on the Basis of Dynamic Chest Radiography -- Adaptive Noise Reduction and Edge Enhancement in Medical Images by using ICA -- Subtraction Techniques for CT and DSA and Automated Detection of Lung Nodules in 3D CT.
Record Nr. UNINA-9910299741703321
New York : , : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational intelligence in healthcare / / editors, Amit Kumar Manocha [and three others]
Computational intelligence in healthcare / / editors, Amit Kumar Manocha [and three others]
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XIV, 412 p. 173 illus., 123 illus. in color.)
Disciplina 610.28563
Collana Health Information Science
Soggetto topico Computational intelligence
Artificial intelligence - Medical applications
Artificial intelligence
ISBN 3-030-68723-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Measurement of Human Bio-Electricity And Pranik Energy Of Different Organs: A Sensor And CPS Based Approach -- 2. Development Of Compression Algorithms For Computed Tomography And Magnetic Resonance Imaging -- 3. Realization Of Carry Free Adder Circuit Using FPGA -- 4. Telemedicine & Telehealth: The Current Update -- 5. Advancements In The Health Care Using Wearable Technology -- 6. Machine- And Deep-Learning Algorithms For Wearable Health Monitoring -- 7.Characterization Of Signals Of Non-Contact Respiration Sensor For Emotion Detection Using Intelligent Techniques -- 8. Benefits Of E-Health Systems During COVID-19 Pandemic -- 9. Low Cost Bone Mineral Densitometer -- 10. Smart Infusion Pump Control – The Control System Perspective -- 11. Automated Detection Of Normal And Cardiac Heart Disease Using chaos Attributes And Online Sequential Extreme Learning Machine -- 12. Interference Reduction In ECG Signal Using IIR Digital Filter Based On GA And Its Simulation -- 13. Contactless Measurement Of Heart Rate From Live Video And Comparison With Standard Method -- 14. Automatic Melanoma Diagnosis And Classification On Dermoscopic Images -- 15. GI Cloud Design – Issues And Perspectives -- 16. A Hybrid Method For Detection Of Coronavirus Through X-Rays Using Convolutional Neural Networks And Support Vector Machine -- 17. Feature Extraction Using GLSM For DDSM Mammogram Images -- 18. Deep Learning Based Techniques To Identify Covid 19 Patients Using Medical Image Segmentation -- 19. Emerging Trends Of Bioinformatics In Health Informatics -- 20. Computational Methods For Health Informatics.
Record Nr. UNINA-9910483987403321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational intelligence in healthcare / / editors, Amit Kumar Manocha [and three others]
Computational intelligence in healthcare / / editors, Amit Kumar Manocha [and three others]
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XIV, 412 p. 173 illus., 123 illus. in color.)
Disciplina 610.28563
Collana Health Information Science
Soggetto topico Computational intelligence
Artificial intelligence - Medical applications
Artificial intelligence
ISBN 3-030-68723-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Measurement of Human Bio-Electricity And Pranik Energy Of Different Organs: A Sensor And CPS Based Approach -- 2. Development Of Compression Algorithms For Computed Tomography And Magnetic Resonance Imaging -- 3. Realization Of Carry Free Adder Circuit Using FPGA -- 4. Telemedicine & Telehealth: The Current Update -- 5. Advancements In The Health Care Using Wearable Technology -- 6. Machine- And Deep-Learning Algorithms For Wearable Health Monitoring -- 7.Characterization Of Signals Of Non-Contact Respiration Sensor For Emotion Detection Using Intelligent Techniques -- 8. Benefits Of E-Health Systems During COVID-19 Pandemic -- 9. Low Cost Bone Mineral Densitometer -- 10. Smart Infusion Pump Control – The Control System Perspective -- 11. Automated Detection Of Normal And Cardiac Heart Disease Using chaos Attributes And Online Sequential Extreme Learning Machine -- 12. Interference Reduction In ECG Signal Using IIR Digital Filter Based On GA And Its Simulation -- 13. Contactless Measurement Of Heart Rate From Live Video And Comparison With Standard Method -- 14. Automatic Melanoma Diagnosis And Classification On Dermoscopic Images -- 15. GI Cloud Design – Issues And Perspectives -- 16. A Hybrid Method For Detection Of Coronavirus Through X-Rays Using Convolutional Neural Networks And Support Vector Machine -- 17. Feature Extraction Using GLSM For DDSM Mammogram Images -- 18. Deep Learning Based Techniques To Identify Covid 19 Patients Using Medical Image Segmentation -- 19. Emerging Trends Of Bioinformatics In Health Informatics -- 20. Computational Methods For Health Informatics.
Record Nr. UNISA-996464484203316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer-Based Medical Systems: Proceedings: 12th IEEE Symposium (CBMS "99), Stanford, Connecticut
Computer-Based Medical Systems: Proceedings: 12th IEEE Symposium (CBMS "99), Stanford, Connecticut
Pubbl/distr/stampa [Place of publication not identified], : IEEE Computer Society Press, 1999
Descrizione fisica 1 online resource (325 pages)
Disciplina 610.285
Soggetto topico Artificial intelligence - Medical applications
Imaging systems in medicine
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996203412503316
[Place of publication not identified], : IEEE Computer Society Press, 1999
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Connected e-Health : integrated IoT and cloud computing / / Sushruta Mishra [and four others], editors
Connected e-Health : integrated IoT and cloud computing / / Sushruta Mishra [and four others], editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (487 pages)
Disciplina 610.285
Collana Studies in computational intelligence
Soggetto topico Artificial intelligence - Medical applications
Cloud computing
Internet of things
ISBN 3-030-97929-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910568243903321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Current and Future Application of Artificial Intelligence in Clinical Medicine
Current and Future Application of Artificial Intelligence in Clinical Medicine
Autore Huang Shigao
Edizione [1st ed.]
Pubbl/distr/stampa Sharjah : , : Bentham Science Publishers, , 2021
Descrizione fisica 1 online resource (154 pages)
Disciplina 610.285
Altri autori (Persone) YangJie
Soggetto topico Artificial intelligence
Artificial intelligence - Medical applications
Soggetto non controllato Clinical Medicine
Medical
ISBN 1-68108-841-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 -- 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 -- 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 -- 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 -- 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 -- 2.3. Assess Clinical Practice and Infrastructure Needs -- 2.4. Ensure Technical Safety and Accuracy -- 3. APPLICATION OF AI + MEDICAL IMAGING IN VARIOUS FIELDS -- 3.1. Lung Screening -- 3.2. Screening for Radiculopathy -- 3.3. Target Outline -- 3.4. Three-dimensional Imaging of Viscera -- 3.5. Pathological Analysis -- 4. AI AND ITS APPLICATIONS IN EYE DISEASE -- 5. AI IN DENTISTRY -- 5.1. The Rise of Machine Learning -- 5.2. The Future of AI in Dentistry -- 6. EFFECTS OF AI ON TUMOR IMAGE WORKFLOW -- 7. THE EXPLORATION AND DEVELOPMENT OF AI IMAGE -- 7.1. Philips -- 7.2. Ali Health -- 7.3. Tencent Miying -- 7.4. Hainer Medical Trust -- 7.5. Deduce Technology -- 7.6. Yassen Technologies -- 7.7. Hui-Yi Hui Ying -- 7.8. Tuma Depth -- 7.9. Diyinjia -- 7.10. Heart Link Medical.
7.11. DeepCare -- 7.12. Peptide Building Blocks -- 7.13. Smart Shadow Medical -- 7.14. Imagemesh Laboratory -- 8. THE NEXT FRONTIER -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Artificial Intelligence Played an Active Role in the COVID-19 Epidemic in China -- Shigao Huang1,*, Jie Yang2,3,4, Xianxian Liu2, Simon Fong2,4 and Qi Zhao1 -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Current Status and Future Outlook of Deep Learning Techniques For Nodule Detection -- Shigao Huang1,*, Jie Yang2,3,4, Kun Lan2, Sunny Yaoyang Wu2, Simon Fong2,4 and Qi Zhao1 -- 1. INTRODUCTION -- 2. OVERVIEW OF PULMONARY NODULES -- 3. OVERVIEW OF AI AND DEEP LEARNING -- 4. APPLICATION OF DEEP LEARNING IN LUNG NODULES -- 4.1. Rationale for the Detection of Pulmonary Nodules -- 4.2. Application of Deep Learning in the Detection and Diagnosis of Pulmonary Nodules -- 5. DATABASE -- 6. ISSUES AND OUTLOOK -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Artificial Intelligence-Based Mining of Benign and Malignant Characteristics of Pulmonary Ground-Glass Nodules -- Xiaoxia Li1, Ting Gao2 and Shigao Huang3,* -- 1. DESCRIPTION OF AI -- 2. DEFINITION AND CLASSIFICATION OF GROUND-GLASS NODULES -- 3. ANALYSIS OF BENIGN AND MALIGNANT CHARACTERISTICS OF GROUND-GLASS NODULES -- 3.1. CT Value -- 3.2. Maximum Surface Area -- 3.3. Three-Dimensional Volume -- 3.4. Three-D Length to Diameter -- 3.5. Real Proportion -- 3.6. Doubling Time -- 3.7. Compactness and Sphericity Degree -- 4. OUTLOOK AND PROGRESS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- ABBREVIATION -- REFERENCES -- Development of Artificial Intelligence in Imaging and Pathology -- Gang Liu1 and Tao Qi2,* -- 1. INTRODUCTION -- 2. AI IMAGING -- 2.1. Overview of AI Imaging.
2.2. Research Progress of AI Imaging -- 3. PATHOLOGY -- 3.1. Exploration of AI in Pathological Diagnosis -- 3.2. Grading of Renal Clear Cell Carcinoma -- 3. 3. Segmentation of Neoplastic Glandular Structure in Colorectal Cancer -- 3.4. Detection of MYCO Bacterium Tuberculosis in Special Staining -- 3.5. Determination of Proliferating Cells in Cervical Epithelial Lesions -- 4. THE EXPLORATION OF AI IN TUMOR PROGNOSTIC JUDGMENT -- 4.1. Prediction of Survival in Patients with Non-small Cell Lung Cancer and Breast Cancer -- 4.2. Predicting whether Patients with Stage T1 Colon Cancer need Additional Radical Surgery -- 4.3. To Evaluate Postoperative Distant Metastasis in Patients with Esophageal Squamous Cell Carcinoma -- 5. DEEP LEARNING IN THE MELANOCYTE TUMOR PATHOLOGICAL DIAGNOSIS -- 5.1. Deep Learning Development in Pathological Diagnosis -- 5.2. Diagnostic Melanocyte Benign and Malignant -- 5.3. Future Progress of AI Diagnosis -- 6. SUMMARY AND PROSPECT -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Subject Index -- Back Cover.
Record Nr. UNINA-9910794543803321
Huang Shigao  
Sharjah : , : Bentham Science Publishers, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Current and Future Application of Artificial Intelligence in Clinical Medicine
Current and Future Application of Artificial Intelligence in Clinical Medicine
Autore Huang Shigao
Edizione [1st ed.]
Pubbl/distr/stampa Sharjah : , : Bentham Science Publishers, , 2021
Descrizione fisica 1 online resource (154 pages)
Disciplina 610.285
Altri autori (Persone) YangJie
Soggetto topico Artificial intelligence
Artificial intelligence - Medical applications
Soggetto non controllato Clinical Medicine
Medical
ISBN 1-68108-841-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 -- 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 -- 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 -- 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 -- 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 -- 2.3. Assess Clinical Practice and Infrastructure Needs -- 2.4. Ensure Technical Safety and Accuracy -- 3. APPLICATION OF AI + MEDICAL IMAGING IN VARIOUS FIELDS -- 3.1. Lung Screening -- 3.2. Screening for Radiculopathy -- 3.3. Target Outline -- 3.4. Three-dimensional Imaging of Viscera -- 3.5. Pathological Analysis -- 4. AI AND ITS APPLICATIONS IN EYE DISEASE -- 5. AI IN DENTISTRY -- 5.1. The Rise of Machine Learning -- 5.2. The Future of AI in Dentistry -- 6. EFFECTS OF AI ON TUMOR IMAGE WORKFLOW -- 7. THE EXPLORATION AND DEVELOPMENT OF AI IMAGE -- 7.1. Philips -- 7.2. Ali Health -- 7.3. Tencent Miying -- 7.4. Hainer Medical Trust -- 7.5. Deduce Technology -- 7.6. Yassen Technologies -- 7.7. Hui-Yi Hui Ying -- 7.8. Tuma Depth -- 7.9. Diyinjia -- 7.10. Heart Link Medical.
7.11. DeepCare -- 7.12. Peptide Building Blocks -- 7.13. Smart Shadow Medical -- 7.14. Imagemesh Laboratory -- 8. THE NEXT FRONTIER -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Artificial Intelligence Played an Active Role in the COVID-19 Epidemic in China -- Shigao Huang1,*, Jie Yang2,3,4, Xianxian Liu2, Simon Fong2,4 and Qi Zhao1 -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Current Status and Future Outlook of Deep Learning Techniques For Nodule Detection -- Shigao Huang1,*, Jie Yang2,3,4, Kun Lan2, Sunny Yaoyang Wu2, Simon Fong2,4 and Qi Zhao1 -- 1. INTRODUCTION -- 2. OVERVIEW OF PULMONARY NODULES -- 3. OVERVIEW OF AI AND DEEP LEARNING -- 4. APPLICATION OF DEEP LEARNING IN LUNG NODULES -- 4.1. Rationale for the Detection of Pulmonary Nodules -- 4.2. Application of Deep Learning in the Detection and Diagnosis of Pulmonary Nodules -- 5. DATABASE -- 6. ISSUES AND OUTLOOK -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Artificial Intelligence-Based Mining of Benign and Malignant Characteristics of Pulmonary Ground-Glass Nodules -- Xiaoxia Li1, Ting Gao2 and Shigao Huang3,* -- 1. DESCRIPTION OF AI -- 2. DEFINITION AND CLASSIFICATION OF GROUND-GLASS NODULES -- 3. ANALYSIS OF BENIGN AND MALIGNANT CHARACTERISTICS OF GROUND-GLASS NODULES -- 3.1. CT Value -- 3.2. Maximum Surface Area -- 3.3. Three-Dimensional Volume -- 3.4. Three-D Length to Diameter -- 3.5. Real Proportion -- 3.6. Doubling Time -- 3.7. Compactness and Sphericity Degree -- 4. OUTLOOK AND PROGRESS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- ABBREVIATION -- REFERENCES -- Development of Artificial Intelligence in Imaging and Pathology -- Gang Liu1 and Tao Qi2,* -- 1. INTRODUCTION -- 2. AI IMAGING -- 2.1. Overview of AI Imaging.
2.2. Research Progress of AI Imaging -- 3. PATHOLOGY -- 3.1. Exploration of AI in Pathological Diagnosis -- 3.2. Grading of Renal Clear Cell Carcinoma -- 3. 3. Segmentation of Neoplastic Glandular Structure in Colorectal Cancer -- 3.4. Detection of MYCO Bacterium Tuberculosis in Special Staining -- 3.5. Determination of Proliferating Cells in Cervical Epithelial Lesions -- 4. THE EXPLORATION OF AI IN TUMOR PROGNOSTIC JUDGMENT -- 4.1. Prediction of Survival in Patients with Non-small Cell Lung Cancer and Breast Cancer -- 4.2. Predicting whether Patients with Stage T1 Colon Cancer need Additional Radical Surgery -- 4.3. To Evaluate Postoperative Distant Metastasis in Patients with Esophageal Squamous Cell Carcinoma -- 5. DEEP LEARNING IN THE MELANOCYTE TUMOR PATHOLOGICAL DIAGNOSIS -- 5.1. Deep Learning Development in Pathological Diagnosis -- 5.2. Diagnostic Melanocyte Benign and Malignant -- 5.3. Future Progress of AI Diagnosis -- 6. SUMMARY AND PROSPECT -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Subject Index -- Back Cover.
Record Nr. UNINA-9910810971403321
Huang Shigao  
Sharjah : , : Bentham Science Publishers, , 2021
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