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Artificial intelligence for innovative healthcare informatics / / edited by Shabir Ahmad Parah, Mamoon Rashid, Vijayakumar Varadarajan
| Artificial intelligence for innovative healthcare informatics / / edited by Shabir Ahmad Parah, Mamoon Rashid, Vijayakumar Varadarajan |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (320 p.) |
| Disciplina | 610.28563 |
| Soggetto topico | Artificial intelligence - Medical applications |
| ISBN | 3-030-96569-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996475751903316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Artificial Intelligence in Anesthesiology / / Ming Xia and Hong Jiang, editors
| Artificial Intelligence in Anesthesiology / / Ming Xia and Hong Jiang, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Springer, Springer Nature Singapore Pte Ltd, , [2023] |
| Descrizione fisica | 1 online resource (113 pages) |
| Disciplina | 617.96072 |
| Soggetto topico |
Anesthesiology - Research
Artificial intelligence - Medical applications |
| ISBN | 981-9959-25-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence: An Overview -- Machine Learning and Learning Algorithms in Artificial Intelligence -- Assistance of Artificial Intelligence in Ultrasound-Based Procedures -- Artificial Intelligence in Anesthesia Control and Monitoring -- Artificial Intelligence in Airway Management -- Artificial Intelligence in Prediction for Hypotension and Hypoxemia -- Artificial Intelligence in Prediction and Management of PONV -- Artificial Intelligence and Pain Management -- Application of Artificial intelligence in Operating Room and ICU Logistics -- Clinical Decision Support System (CDSS) -- Artificial Intelligence in Clinical Skill Training and Assessment -- Limitations and Ethical Implications of Artificial Intelligence. |
| Record Nr. | UNINA-9910766886003321 |
| Singapore : , : Springer, Springer Nature Singapore Pte Ltd, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence in behavioral and mental health care / / edited by David D. Luxton ; acquisition editor Nikki Levy ; designer Matthew Limbert ; contributors Michael Anderson [and twenty five others]
| Artificial intelligence in behavioral and mental health care / / edited by David D. Luxton ; acquisition editor Nikki Levy ; designer Matthew Limbert ; contributors Michael Anderson [and twenty five others] |
| Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : Academic Press, , 2016 |
| Descrizione fisica | 1 online resource (0 p.) |
| Disciplina | 155.92 |
| Soggetto topico |
Mental health - Social aspects
Artificial intelligence - Medical applications |
| ISBN | 0-12-800792-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910583084903321 |
| Amsterdam, [Netherlands] : , : Academic Press, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence in breast cancer early detection and diagnosis / / Khalid Shaikh, Sabitha Krishnan, Rohit Thanki
| Artificial intelligence in breast cancer early detection and diagnosis / / Khalid Shaikh, Sabitha Krishnan, Rohit Thanki |
| Autore | Shaykh Khālid |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XII, 107 p. 23 illus., 9 illus. in color.) |
| Disciplina | 616.99449 |
| Soggetto topico |
Breast - Cancer - Diagnosis - Data processing
Diagnostic imaging - Data processing Artificial intelligence - Medical applications |
| ISBN | 3-030-59208-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Introduction to Breast Cancer Diagnosis, Prognosis, and Artificial Intelligence -- Breast Cancer and Its Types -- Artificial Intelligence -- Breast Cancer Screening Using AI Methods -- Case Study for Screening of Breast Cancer. |
| Record Nr. | UNINA-9910483153003321 |
Shaykh Khālid
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence in cardiothoracic imaging / / edited by Carlo N. De Cecco, Marly van Assen, and Tim Leiner
| Artificial intelligence in cardiothoracic imaging / / edited by Carlo N. De Cecco, Marly van Assen, and Tim Leiner |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (582 pages) |
| Disciplina | 617.540754028563 |
| Collana | Contemporary medical imaging series |
| Soggetto topico |
Chest - Imaging
Artificial intelligence - Medical applications Heart Diseases - diagnostic imaging Artificial Intelligence Image Interpretation, Computer-Assisted - methods Thoracic Diseases - diagnostic imaging Tòrax Malalties del tòrax Malalties del cor Diagnòstic per la imatge Intel·ligència artificial |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-92087-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART I: Artificial Intelligence: Technical Considerations and Fundamentals -- Artificial Intelligence: A Century-Old Story -- Demystifying Artificial Intelligence Technology in Cardiothoracic Imaging: The Essentials -- Artificial Intelligence Algorithm Development for Biomedical Imaging -- Data Preparation for Artificial Intelligence -- Data Storage, Cloud Usage and Artificial Intelligence Pipeline -- How to Build Artificial Intelligence Algorithms for Imaging Applications -- Radiomics: Technical Background -- Biobanks and Artificial Intelligence -- Biostatistics and Artificial Intelligence -- PART II: Artificial Intelligence: General Approaches and Applications -- Structured Reporting in Medical Imaging: the Role of Artificial Intelligence -- Artificial Intelligence: Clinical Relevance and Workflow -- Patient Selection and Scan Preparation Optimization: the Role of Artificial Intelligence -- Artificial Intelligence for Image Enhancement and Reconstruction in Magnetic Resonance Imaging -- Artificial Intelligence Based Image Reconstruction in Cardiac Magnetic Resonance -- Artificial Intelligence Based Image Reconstruction in Computed Tomography Imaging -- Artificial Intelligence Based Contrast Medium Optimization -- Radiation Dose Optimization: the Role of Artificial Intelligence -- Artificial Intelligence Integration into the Computed Tomography System -- Artificial Intelligence Integration into the Magnetic Resonance System -- Magnetic Resonance Fingerprinting: the Role of Artificial Intelligence -- Currently Available Artificial Intelligence Software for Cardiothoracic Imaging -- PART III: Artificial Intelligence: Cardiac Applications -- Cardiac CT Guidelines and Clinical Applications: Where does Artificial Intelligence fit in? -- Natural Language Processing for Cardiovascular Applications -- Artificial Intelligence Based Evaluation of Coronary Calcium -- Artificial Intelligence Based Evaluation of Coronary Atherosclerotic Plaques -- Artificial Intelligence Based Coronary Artery Disease Reporting & Data System (CAD-RADS) -- Artificial Intelligence Based CT Derived Fractional Flow Reserve (CT-FFR) -- Artificial Intelligence Based Evaluation of Cardiac Valves -- Artificial Intelligence Based Diagnosis and Procedural Planning for Aortic Valve Disease -- Artificial Intelligence Based Quantification of Cardiac Fat -- Radiomics in Cardiac CT -- Cardiac MR Guidelines and Clinical Applications: Where does Artificial Intelligence fit in? -- Artificial Intelligence Based Evaluation of Functional Cardiac Magnetic Resonance Imaging -- Magnetic Resonance Imaging based 4D Cardiac Flow: the Role of Artificial Intelligence -- Magnetic Resonance Imaging based Coronary Flow: the Role of Artificial Intelligence -- Artificial Intelligence Based Evaluation of Cardiac Congenital Disease -- Cardiac Nuclear Medicine: the Role of Artificial Intelligence -- Cardiac Ultrasound Imaging: the Role of Artificial Intelligence -- Artificial Intelligence Based Cardiovascular Risk Stratification -- PART IV: Artificial Intelligence: Thoracic Applications -- Artificial Intelligence Based Evaluation of Patients with Chronic Obstructive Pulmonary Disease -- Artificial Intelligence Based Evaluation of Patients with Interstitial Lung Disease -- Artificial Intelligence Based Evaluation of Infectious Disease Imaging: A COVID-19 Perspective -- Artificial Intelligence for Lung Cancer Screening and Nodule Detection -- Artificial Intelligence for Lung Cancer Characterization and Prognosis -- Artificial Intelligence for Opportunistic Chest CT Screening and Prognostication -- Artificial Intelligence Based Detection of Pulmonary Vascular Disease -- Artificial Intelligence Based Evaluation of the Aorta -- Artificial Intelligence and Radiomics Based Evaluation of Carotid Artery Disease -- PART V: Artificial Intelligence: General Considerations -- Artificial Intelligence in Medicine: Laws, Regulations and Privacy -- Health Economics, Economic Evaluation and Artificial Intelligence Technology -- Commercialization & Intellectual Property of Artificial Intelligence Applications in Cardiovascular Imaging -- Ethical Considerations of Artificial Intelligence Applications in Healthcare -- How to Write and Review an Artificial Intelligence Paper -- Cybersecurity in the Era of Artificial Intelligence -- How Artificial Intelligence Will Reshape Healthcare and Medical Imaging: A Global Perspective. |
| Record Nr. | UNINA-9910564686703321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence in healthcare : recent applications and developments / / Tianhua Chen [and three others], editors
| Artificial intelligence in healthcare : recent applications and developments / / Tianhua Chen [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (316 pages) |
| Disciplina | 610.285 |
| Collana | Brain informatics and health |
| Soggetto topico |
Artificial intelligence - Medical applications
Artificial intelligence Machine learning |
| ISBN | 981-19-5272-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996495560603316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Artificial intelligence in healthcare : recent applications and developments / / Tianhua Chen [and three others], editors
| Artificial intelligence in healthcare : recent applications and developments / / Tianhua Chen [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (316 pages) |
| Disciplina | 610.285 |
| Collana | Brain informatics and health |
| Soggetto topico |
Artificial intelligence - Medical applications
Artificial intelligence Machine learning |
| ISBN | 981-19-5272-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910624388303321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence in image-based screening, diagnostics, and clinical care of cardiopulmonary diseases / / edited by Sameer Antani, Sivaramakrishnan Rajaraman
| Artificial intelligence in image-based screening, diagnostics, and clinical care of cardiopulmonary diseases / / edited by Sameer Antani, Sivaramakrishnan Rajaraman |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , [2023] |
| Descrizione fisica | 1 online resource (246 pages) |
| Disciplina | 610.285 |
| Soggetto topico | Artificial intelligence - Medical applications |
| ISBN | 3-0365-6435-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the Editors vii -- Sivaramakrishnan Rajaraman and Sameer Antani Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases" Reprinted from: Diagnostics 2022, 12, 2615, doi:10.3390/diagnostics12112615 1 -- Noemi Gozzi, Edoardo Giacomello, Martina Sollini, Margarita Kirienko, Angela Ammirabile, Pierluca Lanzi, Daniele Loiacono, et al. Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs Reprinted from: Diagnostics 2022, 12, 2084, doi:10.3390/diagnostics12092084 9 -- Abdulaziz Fahad AlOthman, Abdul Rahaman Wahab Sait and Thamer Abdullah Alhussain Detecting Coronary Artery Disease from Computed Tomography Images Using a Deep Learning Technique Reprinted from: Diagnostics 2022, 12, 2073, doi:10.3390/diagnostics12092073 29 -- Guan-Hua Huang, Qi-Jia Fu, Ming-Zhang Gu, Nan-Han Lu, Kuo-Ying Liu and Tai-Been Chen Deep Transfer Learning for the Multilabel Classification of Chest X-ray Images Reprinted from: Diagnostics 2022, 12, 1457, doi:10.3390/diagnostics12061457 49 -- Sivaramakrishnan Rajaraman, Peng Guo, Zhiyun Xue and Sameer K. Antani A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays Reprinted from: Diagnostics 2022, 12, 1442, doi:10.3390/diagnostics12061442 67 -- Hao-Jen Wang, Li-Wei Chen, Hsin-Ying Lee, Yu-Jung Chung, Yan-Ting Lin, Yi-Chieh Lee, Yi-Chang Chen, et al. Automated 3D Segmentation of the Aorta and Pulmonary Artery on Non-Contrast-Enhanced Chest Computed Tomography Images in Lung Cancer Patients Reprinted from: Diagnostics 2022, 12, 967, doi:10.3390/diagnostics12040967 . 83 -- Jöran Rixen, Benedikt Eliasson, Benjamin Hentze, Thomas Muders, Christian Putensen, Steffen Leonhardt and Chuong Ngo A Rotational Invariant Neural Network for Electrical Impedance Tomography Imaging without Reference Voltage: RF-REIM-NET Reprinted from: Diagnostics 2022, 12, 777, doi:10.3390/diagnostics12040777 . 99 -- Manohar Karki, Karthik Kantipudi, Feng Yang, Hang Yu, Yi Xiang J. Wang, Ziv Yaniv and Stefan Jaeger Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays Reprinted from: Diagnostics 2022, 12, 188, doi:10.3390/diagnostics12010188 . 115 -- Philippe Germain, Armine Vardazaryan, Nicolas Padoy, Aissam Labani, Catherine Roy, Thomas Hellmut Schindler and Soraya El Ghannudi Deep Learning Supplants Visual Analysis by Experienced Operators for the Diagnosis of Cardiac Amyloidosis by Cine-CMR Reprinted from: Diagnostics 2022, 12, 69, doi:10.3390/diagnostics12010069 . 139 -- Muhammad Attique Khan, Venkatesan Rajinikanth, Suresh Chandra Satapathy, David Taniar, Jnyana Ranjan Mohanty, Usman Tariq and Robertas Damaševiˇcius VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images Reprinted from: Diagnostics 2021, 11, 2208, doi:10.3390/diagnostics11122208 153 -- Jasjit S. Suri, Sushant Agarwal, Pranav Elavarthi, Rajesh Pathak, Vedmanvitha Ketireddy, Marta Columbu, Luca Saba, et al. Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography Reprinted from: Diagnostics 2021, 11, 2025, doi:10.3390/diagnostics11112025 171 -- Julia A. Mueller, Katharina Martini, Matthias Eberhard, Mathias A. Mueller, Alessandra A. De Silvestro, Philipp Breiding and Thomas Frauenfelder Diagnostic Performance of Dual-Energy Subtraction Radiography for the Detection of Pulmonary Emphysema: An Intra-Individual Comparison Reprinted from: Diagnostics 2021, 11, 1849, doi:10.3390/diagnostics11101849 207 -- Dana Li, Lea Marie Pehrson, Carsten Ammitzbøl Lauridsen, Lea Tøttrup, Marco Fraccaro, Desmond Elliott, Hubert Dariusz Zaj ˛ac, et al. The Added Effect of Artificial Intelligence on Physicians' Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review Reprinted from: Diagnostics 2021, 11, 2206, doi:10.3390/diagnostics11122206 219. |
| Record Nr. | UNINA-9910647214503321 |
| Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence in medical imaging : opportunities, applications and risks / / Erik R. Ranschaert, Sergey Morozov, Paul R. Algra, editors
| Artificial intelligence in medical imaging : opportunities, applications and risks / / Erik R. Ranschaert, Sergey Morozov, Paul R. Algra, editors |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | New York, New York : , : Springer Berlin Heidelberg, , [2019] |
| Descrizione fisica | 1 online resource (xv, 373 pages) : illustrations (chiefly color), charts |
| Disciplina | 616.0757 |
| Collana | Gale eBooks |
| Soggetto topico |
Artificial intelligence - Medical applications
Diagnostic imaging - Data processing |
| ISBN | 3-319-94878-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART I: INTRODUCTION: Introduction: Game changers in radiology -- PART II: TECHNIQUES: The role of medical imaging computing, informatics and machine learning in healthcare -- History and evolution of A.I. in medical imaging -- Deep Learning and Neural Networks in imaging: basic principles -- PART III DEVELOPMENT of AI APPLICATIONS: Imaging biomarkers -- How to develop A.I. applications -- Validation of A.I. applications -- PART IV: BIG DATA IN RADIOLOGY: The value of enterprise imaging -- Data mining in radiology -- Image biobanks -- The quest for medical images and data -- Clearance of medical images and data -- Legal and ethical issues in AI -- PART V: CLINICAL USE OF A.I. IN RADIOLOGY: Pulmonary diseases -- Cardiac diseases -- Breast cancer -- Neurological diseases -- PART VI: IMPACT of A.I. on RADIOLOGY: Applications of A.I. beyond image analysis -- Value of structured reporting for A.I. -- The role of A.I. for clinical trials -- Market and economy of A.I.: evolution -- The role of an A.I. ecosystem for radiology -- Advantages and risks of A.I. for radiologists -- Re-thinking radiology. |
| Record Nr. | UNINA-9910337534203321 |
| New York, New York : , : Springer Berlin Heidelberg, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence in medical virology / / edited by Jyotir Moy Chatterjee and Shailendra K. Saxena
| Artificial intelligence in medical virology / / edited by Jyotir Moy Chatterjee and Shailendra K. Saxena |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (XVI, 189 p. 1 illus.) |
| Disciplina | 060 |
| Collana | Medical Virology: From Pathogenesis to Disease Control |
| Soggetto topico | Artificial intelligence - Medical applications |
| ISBN | 981-9903-69-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Artificial Intelligence for Global Healthcare -- Chapter 2. Artificial Intelligence for Epidemiology COVID-19: Quick Assessment -- Chapter 3. Artificial Intelligence in rural health in developing countries -- Chapter 4. THE ROLE OF ARTIFICIAL INTELLIGENCE TO TRACK COVID-19 DISEASE -- Chapter 5. Artificial Intelligence Techniques based on K-Means two way Clustering and Greedy Triclustering approach for 3D Gene Expression Data (GED) -- Chapter 6. Detection of COVID-19 cases from X-Ray and CT Images using Transfer Learning & Deep Convolution Neural Networks -- Chapter 7. Computer Vision: Augmented Reality (AR), Virtual Reality (VR), Telehealth and Digital Radiology -- Chapter 8. STROKE DISEASE PREDICTION MODEL USING ANOVA WITH CLASSIFICATION ALGORITHMS -- Chapter 9. A CONCISE REVIEW ON DEVELOPMENTAL AND EVALUATION METHODS OF ARTIFICIAL INTELLIGENCE ON COVID 19 DETECTION -- Chapter 10. Artificial Intelligence based Healthcare Industry 4.0 for Disease Detection using Machine Learning Techniques -- Chapter 11. Deep Autoencoder Neural Networks for Heart Sound Classification. |
| Record Nr. | UNINA-9910717428303321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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