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Artificial intelligence and ophthalmology : perks, perils and pitfalls / / Parul Ichhpujani, Sahil Thakur, editors
| Artificial intelligence and ophthalmology : perks, perils and pitfalls / / Parul Ichhpujani, Sahil Thakur, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (149 pages) |
| Disciplina | 617.700285 |
| Collana | Current Practices in Ophthalmology |
| Soggetto topico |
Ophthalmology - Data processing
Artificial intelligence - Medical applications Oftalmologia Intel·ligència artificial en medicina |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-0634-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484596003321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence based cancer nanomedicine : diagnostics, therapeutics and bioethics / / edited by Fahima Dilnawaz and Ajit Kumar Behura
| Artificial intelligence based cancer nanomedicine : diagnostics, therapeutics and bioethics / / edited by Fahima Dilnawaz and Ajit Kumar Behura |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Bentham Science Publishers Pte. Ltd., , [2022] |
| Descrizione fisica | 1 online resource (110 pages) : illustrations |
| Disciplina | 610.285 |
| Soggetto topico |
Artificial intelligence - Medical applications
Cancer - Treatment Drug delivery systems Nanomedicine Bioethical Issues Artificial Intelligence Neoplasms - therapy |
| ISBN | 981-5050-56-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Foreword -- Preface -- List of Contributors -- The Need for Artificial Intelligence in Cancer Nanomedicine -- Fahima Dilnawaz1,* -- INTRODUCTION -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Application of Artificial Intelligence for Designing Cancer Nanomedicine -- Fahima Dilnawaz1,* -- INTRODUCTION -- USE OF NANOMATERIALS AND AI IN PRECISION DIAGNOSTICS -- PREDICTION OF PERSONALIZED DRUG POTENCY BY NANOTECHNOLOGY -- UTILIZING COMPUTATIONAL MODELLING IN NANOTHERAPEUTICS FOR TARGETING AND PERSONALIZED DOSING -- UTILIZING AI AND NANOMATERIALS FOR DRUG DOSING AND IMPROVED THERAPEUTIC EFFICACY -- EXPLOITING THE USE OF AI AND NANOTECHNOLOGY FOR PERSONALIZED GENE THERAPY -- CONCLUSION AND FUTURE PERSPECTIVE -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Artificial Intelligence and its Application in Cancer Nanomedicine -- Sweta Mohanty1, Sarbari Acharya1 and Chandana Mohanty1,* -- INTRODUCTION -- CANCER NANOMEDICINE -- ARTIFICIAL INTELLIGENCE (AI) -- ROLE OF AI IN DRUG DISCOVERY -- APPLICATION OF AI TECHNOLOGIES IN CANCER NANOMEDICINE -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Artificial Intelligence-based Diagnostic Design for Precision Cancer Nanomedicine -- Ranjita Misra1,* and Malathi Sampath2 -- INTRODUCTION -- ROLE OF NANOMEDICINES IN CANCER DIAGNOSIS -- NANOMEDICINES USED FOR CANCER DIAGNOSIS -- ARTIFICIAL INTELLIGENCE AND ITS SIGNIFICANCE -- APPLICATION OF ARTIFICIAL INTELLIGENCE TOWARDS CANCER DIAGNOSIS -- ADVANTAGE OF INTEGRATION OF ARTIFICIAL INTELLIGENCE AND NANOMEDICINES -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES.
Artificial Intelligence-based Nanosensors to Compose the Patient's Cancer Biomarker Profile -- Malathi Sampath1 and Ranjita Misra2,* -- INTRODUCTION -- NANOSENSORS AND THEIR ROLE IN BIOMARKERS PROFILING -- TYPES OF NANOSENSORS -- Affinity Based Biosensors -- Catalytic Based Sensors -- Enzymes -- Microbes -- Organelles -- Tissue Samples -- OPTICAL NANOSENSORS -- ELECTROCHEMICAL SENSORS -- CHEMICAL NANOSENSORS -- DEPLOYABLE SENSOR -- ELECTROMETERS -- BIOSENSOR -- ADVANTAGES OF AMALGAMATION OF NANOSENSORS WITH ARTIFICIAL INTELLIGENCE -- FUTURE PERSPECTIVES -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Artificial Intelligence as a Putative Tool for Newer Drug Development Approach in Cancer Nanomedicine -- Pooja Jain1, Sradhanjali Mohapatra1, Nazia Hassan1, Manvi Singh2, Uzma Farooq1, Mohd. Aamir Mirza1 and Zeenat Iqbal1,* -- INTRODUCTION -- CANCER -- Cancer Diagnosis and Treatment Approaches -- Cancer Nanomedicines -- ARTIFICIAL INTELLIGENCE -- Integration of AI and Nanotechnology for Cancer Therapy -- Artificial Intelligence-Driven Approach for Future Healthcare System -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGMENT -- REFERENCES -- Artificial Intelligence-Enabled Model for Predicting the Metastatic Potential of Cancer Cells -- Sarbari Acharya1,* and Chandana Mohanty1 -- INTRODUCTION -- CANCER METASTASIS -- DIAGNOSIS OF CANCER METASTASIS -- ARTIFICIAL INTELLIGENCE AND CANCER DETECTION -- ROLE OF AI MODELS FOR PREDICTING CANCER METASTASIS -- FUTURE PERSPECTIVES AND CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Artificial Intelligence for Cancer Nanotheranostics -- Sarbari Acharya1,* -- INTRODUCTION -- CANCER IMAGING -- THERANOSTICS AND NANOTHERANOSTICS -- ROLE OF NANOTHERANOSTICS IN CANCER MANAGEMENT. AI IN NANOMEDICINE FOR CANCER THERAPY -- AI AND NANOTHERANOSTICS -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Ethical Dimensions of Using Artificial Intelligence in Healthcare -- Ajit Kumar Behura1,* -- INTRODUCTION -- ETHICAL CONSIDERATIONS WHEN USING AI IN HEALTH CARE -- CONCLUSIONS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Subject Index -- Back Cover. |
| Record Nr. | UNINA-9910795739803321 |
| Singapore : , : Bentham Science Publishers Pte. Ltd., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence based cancer nanomedicine : diagnostics, therapeutics and bioethics / / edited by Fahima Dilnawaz and Ajit Kumar Behura
| Artificial intelligence based cancer nanomedicine : diagnostics, therapeutics and bioethics / / edited by Fahima Dilnawaz and Ajit Kumar Behura |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Bentham Science Publishers Pte. Ltd., , [2022] |
| Descrizione fisica | 1 online resource (110 pages) : illustrations |
| Disciplina | 610.285 |
| Soggetto topico |
Artificial intelligence - Medical applications
Cancer - Treatment Drug delivery systems Nanomedicine Bioethical Issues Artificial Intelligence Neoplasms - therapy |
| ISBN | 981-5050-56-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Foreword -- Preface -- List of Contributors -- The Need for Artificial Intelligence in Cancer Nanomedicine -- Fahima Dilnawaz1,* -- INTRODUCTION -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Application of Artificial Intelligence for Designing Cancer Nanomedicine -- Fahima Dilnawaz1,* -- INTRODUCTION -- USE OF NANOMATERIALS AND AI IN PRECISION DIAGNOSTICS -- PREDICTION OF PERSONALIZED DRUG POTENCY BY NANOTECHNOLOGY -- UTILIZING COMPUTATIONAL MODELLING IN NANOTHERAPEUTICS FOR TARGETING AND PERSONALIZED DOSING -- UTILIZING AI AND NANOMATERIALS FOR DRUG DOSING AND IMPROVED THERAPEUTIC EFFICACY -- EXPLOITING THE USE OF AI AND NANOTECHNOLOGY FOR PERSONALIZED GENE THERAPY -- CONCLUSION AND FUTURE PERSPECTIVE -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Artificial Intelligence and its Application in Cancer Nanomedicine -- Sweta Mohanty1, Sarbari Acharya1 and Chandana Mohanty1,* -- INTRODUCTION -- CANCER NANOMEDICINE -- ARTIFICIAL INTELLIGENCE (AI) -- ROLE OF AI IN DRUG DISCOVERY -- APPLICATION OF AI TECHNOLOGIES IN CANCER NANOMEDICINE -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Artificial Intelligence-based Diagnostic Design for Precision Cancer Nanomedicine -- Ranjita Misra1,* and Malathi Sampath2 -- INTRODUCTION -- ROLE OF NANOMEDICINES IN CANCER DIAGNOSIS -- NANOMEDICINES USED FOR CANCER DIAGNOSIS -- ARTIFICIAL INTELLIGENCE AND ITS SIGNIFICANCE -- APPLICATION OF ARTIFICIAL INTELLIGENCE TOWARDS CANCER DIAGNOSIS -- ADVANTAGE OF INTEGRATION OF ARTIFICIAL INTELLIGENCE AND NANOMEDICINES -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES.
Artificial Intelligence-based Nanosensors to Compose the Patient's Cancer Biomarker Profile -- Malathi Sampath1 and Ranjita Misra2,* -- INTRODUCTION -- NANOSENSORS AND THEIR ROLE IN BIOMARKERS PROFILING -- TYPES OF NANOSENSORS -- Affinity Based Biosensors -- Catalytic Based Sensors -- Enzymes -- Microbes -- Organelles -- Tissue Samples -- OPTICAL NANOSENSORS -- ELECTROCHEMICAL SENSORS -- CHEMICAL NANOSENSORS -- DEPLOYABLE SENSOR -- ELECTROMETERS -- BIOSENSOR -- ADVANTAGES OF AMALGAMATION OF NANOSENSORS WITH ARTIFICIAL INTELLIGENCE -- FUTURE PERSPECTIVES -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Artificial Intelligence as a Putative Tool for Newer Drug Development Approach in Cancer Nanomedicine -- Pooja Jain1, Sradhanjali Mohapatra1, Nazia Hassan1, Manvi Singh2, Uzma Farooq1, Mohd. Aamir Mirza1 and Zeenat Iqbal1,* -- INTRODUCTION -- CANCER -- Cancer Diagnosis and Treatment Approaches -- Cancer Nanomedicines -- ARTIFICIAL INTELLIGENCE -- Integration of AI and Nanotechnology for Cancer Therapy -- Artificial Intelligence-Driven Approach for Future Healthcare System -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGMENT -- REFERENCES -- Artificial Intelligence-Enabled Model for Predicting the Metastatic Potential of Cancer Cells -- Sarbari Acharya1,* and Chandana Mohanty1 -- INTRODUCTION -- CANCER METASTASIS -- DIAGNOSIS OF CANCER METASTASIS -- ARTIFICIAL INTELLIGENCE AND CANCER DETECTION -- ROLE OF AI MODELS FOR PREDICTING CANCER METASTASIS -- FUTURE PERSPECTIVES AND CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Artificial Intelligence for Cancer Nanotheranostics -- Sarbari Acharya1,* -- INTRODUCTION -- CANCER IMAGING -- THERANOSTICS AND NANOTHERANOSTICS -- ROLE OF NANOTHERANOSTICS IN CANCER MANAGEMENT. AI IN NANOMEDICINE FOR CANCER THERAPY -- AI AND NANOTHERANOSTICS -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Ethical Dimensions of Using Artificial Intelligence in Healthcare -- Ajit Kumar Behura1,* -- INTRODUCTION -- ETHICAL CONSIDERATIONS WHEN USING AI IN HEALTH CARE -- CONCLUSIONS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Subject Index -- Back Cover. |
| Record Nr. | UNINA-9910820624103321 |
| Singapore : , : Bentham Science Publishers Pte. Ltd., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence fo medicine : people, society, pharmaceuticals, and medical materials / / Yoshiki Oshida
| Artificial intelligence fo medicine : people, society, pharmaceuticals, and medical materials / / Yoshiki Oshida |
| Autore | Oshida Yoshiki |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : Walter de Gruyter GmbH, , [2022] |
| Descrizione fisica | 1 online resource (520 pages) |
| Disciplina | 610.285 |
| Collana | De Gruyter Stem |
| Soggetto topico | Artificial intelligence - Medical applications |
| ISBN | 3-11-071785-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- List of abbreviations -- About the Author -- Chapter 1 AI in general -- Chapter 2 AI in information -- Chapter 3 AI in society -- Chapter 4 AI in concern -- Chapter 5 AI in life: from cradle to grave -- Chapter 6 AI in QOL (quality of living), QOS (quality of sleeping), and QOD (quality of dying) -- Chapter 7 AI in food industry -- Coffee break: information diabetes -- Chapter 8 AI in practice of medicine -- Chapter 9 AI in practice of dentistry -- Chapter 10 AI in drug development -- Chapter 11 AI in materials science and development -- Chapter 12 AI in COVID-19 era, infodemic, and post-COVID-19 era -- Chapter 13 AI in future -- Closing remarks -- Index |
| Record Nr. | UNINA-9910554204903321 |
Oshida Yoshiki
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| Berlin ; ; Boston : , : Walter de Gruyter GmbH, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Bone Disorder : Diagnosis and Treatment
| Artificial Intelligence for Bone Disorder : Diagnosis and Treatment |
| Autore | Malviya Rishabha |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (262 pages) |
| Disciplina | 616.7/1028563 |
| Altri autori (Persone) |
RajputShivam
VaidyaMakarand |
| Soggetto topico |
Bones - Diseases - Data processing
Artificial intelligence - Medical applications |
| ISBN |
1-394-23091-5
1-394-23090-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foreword -- Preface -- 1 Artificial Intelligence and Bone Fracture Detection: An Unexpected Alliance -- 1.1 Introduction -- 1.2 Bone Fracture -- 1.3 Deep Learning and Its Significance in Radiology -- 1.4 Role of AI in Bone Fracture Detection and Its Application -- 1.5 Primary Machine Learning-Based Algorithm in Bone Fracture Detection -- 1.6 Deep Learning-Based Techniques for Fracture Detection -- 1.7 Conclusion -- 2 Integrating AI With Tissue Engineering: The Next Step in Bone Regeneration -- 2.1 Introduction -- 2.2 Anatomy and Biology of Bone -- 2.3 Bone Regeneration Mechanism -- 2.4 Understanding AI -- 2.5 Current AI Integration -- 2.6 Applying Deep Learning -- 2.7 Conclusion -- 3 Deep Supervised Learning on Radiological Images to Classify Bone Fractures: A Novel Approach -- 3.1 Introduction -- 3.2 Common Bone Disorder -- 3.3 Deep Supervised Learning's Importance in Orthopedics and Radiology -- 3.4 Perspective From the Past -- 3.5 Essential Deep Learning Methods for Bone Imaging -- 3.6 Strategies for Effective Annotation -- 3.7 Application of Deep Learning to the Detection of Fractures -- 3.8 Conclusion -- 4 Treatment of Osteoporosis and the Use of Digital Health Intervention -- 4.1 Introduction -- 4.2 Opportunistic Diagnosis of Osteoporosis -- 4.3 Predictive Models -- 4.4 Assessment of Fracture Risk and Osteoporosis Diagnosis by Digital Health -- 4.5 Clinical Decision Support Tools, Reminders, and Prompts for Spotting Osteoporosis in Digital Health Settings -- 4.6 The Role of Digital Health in Facilitating Patient Education, Decision, and Conversation -- 4.7 Conclusion -- 5 Utilizing AI to Improve Orthopedic Care -- 5.1 Introduction -- 5.2 What is AI? -- 5.3 Introduction to Machine Learning: Algorithms and Applications -- 5.4 Natural Language Processing -- 5.5 The Internet of Things -- 5.6 Prospective AI Advantages in Orthopedics -- 5.7 Diagnostic Application of AI -- 5.8 Prediction Application With AI -- 5.9 Conclusion -- 6 Significance of Artificial Intelligence in Spinal Disorder Treatment -- 6.1 Introduction -- 6.2 Machine Learning -- 6.3 Methods Derived From Statistics -- 6.4 Applications of Machine Learning in Spine Surgery -- 6.5 Application of AI and ML in Spine Research -- 6.6 Conclusion -- 7 Osteoporosis Biomarker Identification and Use of Machine Learning in Osteoporosis Treatment -- 7.1 Introduction -- 7.2 Biomarkers of Bone Development -- 7.3 Biomarkers for Bone Resorption -- 7.4 Regulators of Bone Turnover -- 7.5 Methods to Identify Osteoporosis -- 7.6 Conclusion -- 8 The Role of AI in Pediatric Orthopedics -- 8.1 Introduction -- 8.2 Strategy Based on Artificial Intelligence -- 8.3 Several Applications of Artificial Intelligence -- 8.4 Conclusion -- 9 Use of Artificial Intelligence in Imaging for Bone Cancer -- 9.1 Introduction -- 9.2 Applications of Machine Learning to Cancer Diagnosis -- 9.3 Artificial Intelligence Methods for Diagnosing Bone Cancer -- 9.4 Methodologies for Constructing Deep Learning Model -- 9.5 Clinical Image Applications of Deep Learning for Bone Tumors -- 9.6 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910840581003321 |
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Malviya Rishabha
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence for COVID-19 / / Diego Oliva, Said Ali Hassan, Ali Mohamed, editors
| Artificial intelligence for COVID-19 / / Diego Oliva, Said Ali Hassan, Ali Mohamed, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (585 pages) |
| Disciplina | 610.285 |
| Collana | Studies in systems, decision and control |
| Soggetto topico |
COVID-19
Intel·ligència artificial en medicina Processament de dades Artificial intelligence - Medical applications |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-69744-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Simulation of the Relation Between the Number of COVID-19 Death Cases as a Result of the Number of Handwashing Facilities by Using Artificial Intelligence -- 1 Literature Review -- 2 Aim of the Research -- 2.1 Statement of the Problem -- 2.2 Research Methodology -- 2.3 Research Setting and Research Paradigm -- 2.4 Limitations of the Method -- 3 Results and Discussion -- 4 Conclusion -- References -- Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management -- 1 Introduction -- 2 Big Data and Big Data Analytics for COVID-19 -- 2.1 Big Data Analytics Life Cycle -- 3 The Opportunities of Big Data and Big Data Analytics in COVID-19 Pandemic -- 4 Challenges of Big Data and Big Data Analytics During COVID-19 Pandemic -- 5 Conclusion -- References -- Application of COVID-19 Pandemic Using Artificial Intelligence -- 1 Introduction -- 2 Premature Detection of the Coronavirus (COVID-19) -- 3 Succinct Review on Transferable Syndrome Outburst in the Year 2020 -- 4 Applications of Artificial Intelligence in COVID-19 Pandemic -- 4.1 Premature Detection and Diagnosis of Infection -- 4.2 Protrusion of Suitcases and Transience -- 4.3 Progress of Drugs and Vaccines -- 4.4 Tumbling the Work of Healthcare Employees -- 5 The Original AI Capability of Bluedot and Metabiota -- 5.1 Bluedot -- 5.2 Metabiota -- 6 Conclusion -- References -- Application of Artificial Intelligence for COVID-19 Epidemic: An Exploratory Study, Opportunities, Challenges, and Future Prospects -- 1 Introduction -- 2 Artificial Intelligence (AI) Techniques in COVID-19 Outbreak -- 3 The Applicability of Artificial Intelligence During COVID-19 Pandemic -- 4 The Challenges Applying Artificial Intelligence During COVID-19 Pandemic -- 5 Conclusion -- References -- Diagnosing COVID-19 Virus in the Cardiovascular System Using ANN -- 1 Introduction.
1.1 Electrocardiography -- 1.2 Cardiovascular Risk Factors Associated with the Worse Outcomes of COVID-19 -- 2 COVID-19 Cardiovascular Manifestations -- 2.1 COVID-19 and Cardiac Arrhythmia -- 2.2 COVID-19 Myocardial Injury and Heart Failure -- 2.3 COVID-19 and Myocarditis -- 2.4 Variability in Heart Rate -- 2.5 COVID-19 and Ischemic Heart Disease -- 3 Results and Discussion -- 4 Results from Artificial Neural Network -- 5 Conclusion -- References -- An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings -- 1 Introduction -- 2 Methodology -- 2.1 COVID-19 5-Class Balanced Dataset -- 2.2 The Pipeline of Deep Feature Extraction from Pretrained Networks and Machine Learning Classification -- 2.3 Performance Evaluation of the Proposed COVID-19 Detection Pipeline -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Understanding Role of Information and Communication Technology Application in Vietnam's Prevention and Control of COVID-19 Pandemic -- 1 Introduction -- 2 Literature Review -- 3 The Role of the Communication in Propagating Against COVID-19 in Vietnam -- 4 The Role of Information Technology Application in Warning and Detecting COVID-19 Patients -- 4.1 The Role of Information Technology in Digitizing Public Services Towards Reducing Risk of Infection -- 5 Discussion and Conclusion -- 6 Study Limitations and Contributions -- References -- Robotics and Automation: The Rescuers of COVID Era -- 1 Introduction -- 2 Importance of Robotics and Automation During Coronavirus -- 3 Applications of Robotics & -- Automation -- 3.1 Applications (Pre- COVID) -- 3.2 Applications (Post- COVID) -- 4 Problems Associated with Robotics & -- Automation -- 5 Types of Robotics and Automation. 6 Different Applications for Which Robots Are Used All Over World During Coronavirus -- 7 Future Development and Investment on Robotics -- 8 Conclusions and Suggestions -- References -- Nonparametric Tests for Comparing COVID-19 Machine Learning Forecasting Models -- 1 Introduction -- 2 Challenges of Forecasting of COVID-19 Outbreak -- 2.1 Forecasting Models for COVID-19 Outbreak -- 2.2 Nonparametric Methods for Comparing Forecast Models -- 3 Klyushin-Petunin Nonparametric Test for Homogeneity -- 4 Estimation of Forecast Model Using the P-Statistics -- 5 Conclusion and Scope for the Future Work -- References -- Artificial Intelligence and the Control of COVID-19: A Review of Machine and Deep Learning Approaches -- 1 Introduction -- 2 Knowledge Areas of AI in COVID-19 Control -- 2.1 Prediction, Tracking and Social Control -- 2.2 Cures and Treatments -- 2.3 Prognosis and Diagnosis -- 2.4 Data Dashboards -- 3 Generalized AI Response to COVID-19 -- 4 Challenges -- 4.1 Small Data Sample Size -- 4.2 Daily Case of Occurrences -- 4.3 Overlapping of Disease Symptoms -- 4.4 Need for Robust and Effective for COVID-19 -- 5 Conclusion -- References -- Optimization of the International Trade Activities in the Period of COVID-19 by Proposing an Algorithm -- 1 Introduction -- 2 Application Model in International Exchange for the Proper Management of the COVID-19 Containment Period -- 3 Principle of Operation of the Optimization Model in International Trade -- 3.1 Taking Quality into Account in Flows -- 3.2 Deterministic Model-Wait and See (WS) -- 4 The Application's Algorithm for Optimizing the Operations of International Trade Companies -- 4.1 The Algorithm -- 4.2 Discussion and Interpretation -- 5 Conclusion -- References -- Internet of Things (IoT) and Real Time Applications -- 1 Introduction and Key Discoveries. 1.1 Year-on-Year Utilization of IoT Stages by Industry -- 1.2 IoT Safekeeping and Information Secrecy -- 2 Malware Recognition Methods -- 2.1 IoT Precautions Code of Behaviors -- 2.2 Confidentiality in IoT -- 3 Real Time Application of IoT -- 3.1 A Real Time IoT-Based Wearable Communication Enabled Jacket to Monitor and Analyze the COVID-19 -- 3.2 Microstrip Patch Antennas -- 3.3 Block Diagram of Navigation System -- 4 Conclusion -- References -- Optimum Scheduling of the Disinfection Process for COVID-19 in Public Places with a Case Study from Egypt, a Novel Discrete Binary Gaining-Sharing Knowledge-Based Metaheuristic Algorithm -- 1 Introduction -- 2 Disinfection Scheduling Strategies for Public Places -- 3 Mathematical Model Formulation for the Disinfection Scheduling Strategies -- 3.1 Mathematical Model -- 4 A Real Application Case Study: Educational Institutions, Cairo, Egypt -- 5 The Proposed Methodology -- 5.1 Gaining Sharing Knowledge-Based Optimization Algorithm (GSK) -- 5.2 Discrete Binary Gaining Sharing Knowledge-Based Optimization Algorithm (DBGSK) -- 6 Experimental Results -- 7 Conclusions and Points for Future Researches -- References -- Predicating COVID19 Epidemic in Nepal Using the SIR Model -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area -- 2.2 Data Collection -- 2.3 Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Feature Extraction of Coronavirus X-Ray Images by RNN, Correlational Networks, and PNN -- 1 Introduction -- 2 Related Work -- 3 About Coronavirus X-Ray Images -- 3.1 A Common Finding of CT Images -- 3.2 Changes in Chronological CT -- 4 Methodology -- 5 Implementation -- 5.1 Dataset -- 5.2 Evaluation Metrics -- 6 Discussion -- 7 Conclusion -- 8 Future Enhancement -- References -- Text Mining for Covid-19 Analysis in Latin America -- 1 Introduction -- 1.1 Covid-19 Outbreak in the World. 1.2 Covid-19 in Latin America -- 1.3 Text Mining Applications -- 1.4 Research in Latin America -- 1.5 PubMed -- 2 NLP Applied to South America -- 2.1 March -- 2.2 April -- 2.3 May -- 2.4 June -- 2.5 July -- 3 NLP Applied to Central America -- 4 NLP Applied to North America -- 5 Conclusions -- 6 Future Work -- References -- Spread of COVID-19 in Odisha (India) Due to Influx of Migrants and Stability Analysis Using Mathematical Modeling -- 1 Introduction -- 2 Mathematical Modeling and Basic Assumptions -- 2.1 Basic Assumptions -- 2.2 Existence of Boundedness and Positive Invariant of the Solutions -- 2.3 Basic Reproduction Number and Existence of Equilibrium -- 2.4 Local Stability Analysis -- 2.5 Global Stability for the Endemic Equilibrium -- 3 Interpretation of the Numerical Results -- 4 Conclusion -- References -- COVID-19 Epidemic Analysis and Prediction in Virudhunagar District Using Machine Learning -- 1 Introduction -- 1.1 Preventive Measures -- 2 Coronavirus Pandemic in Virudhunagar District, Tamilnadu Literature -- 2.1 History of Virudhunagar -- 2.2 Significance of the Study -- 2.3 Review of Literature -- 3 Materials and Methods -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Machine Learning Classifiers -- 4 Results and Discussions -- 4.1 Data Visualization of Sivakasi and Virudhunagar -- 4.2 Infection Rate Growth Phase -- 4.3 Reasons and Outbreaks -- 5 Conclusion -- References -- Internet of Things and Covid-19 Safety Precautions: Roles of Information Communication Technology in Health Emergency Control for Global Development -- 1 Introduction -- 2 Methodology -- 3 Review of Literature -- 4 History of IoT and IoMT -- 5 IoT and IoMT as a Technology-Based Tool for Treatment -- 5.1 Internet of Medical Things (IoMT) -- 6 Usefulness of IoT -- 7 Problems Faced by IoMT -- 8 Corona Virus or Covid-19 -- 9 Effects of Corona Virus. 10 Safety Precautions During Covid-19. |
| Record Nr. | UNINA-9910495348203321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence for drug development, precision medicine, and healthcare / / Mark Chang
| Artificial intelligence for drug development, precision medicine, and healthcare / / Mark Chang |
| Autore | Chang Mark |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, , [2020] |
| Descrizione fisica | 1 online resource (xv, 355 pages) : illustrations |
| Disciplina | 610.28563 |
| Collana | Chapman & Hall/CRC biostatistics series |
| Soggetto topico | Artificial intelligence - Medical applications |
| ISBN |
1-000-76672-1
0-429-34515-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Overview of Modern Artificial Intelligence. 2. Classic Statistics and Modern Machine Learning. 3. Similarity Principle- Fundamental Principle of All Sciences. 4. Similarity-Principle-Based Artificial Intelligence. 5. Artificial Neural Network. 6. Deep Learning Neural Network. 7. Kernel Methods. 8. Decision Tree and Ensemble Methods. 9. Bayesian Learning Approach. 10. Unsupervised Learning. 11. Reinforcement Learning. 12.Swarm and Evolutionary Intelligence. 13. Applications of AI in Medical Science and Drug Development. 14. Future Perspectives-Artificial General Intelligence. |
| Record Nr. | UNINA-9910794025803321 |
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Chang Mark
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| Boca Raton, FL : , : CRC Press, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence for drug development, precision medicine, and healthcare / / Mark Chang
| Artificial intelligence for drug development, precision medicine, and healthcare / / Mark Chang |
| Autore | Chang Mark |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, , [2020] |
| Descrizione fisica | 1 online resource (xv, 355 pages) : illustrations |
| Disciplina | 610.28563 |
| Collana | Chapman & Hall/CRC biostatistics series |
| Soggetto topico | Artificial intelligence - Medical applications |
| ISBN |
1-000-76672-1
0-429-34515-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Overview of Modern Artificial Intelligence. 2. Classic Statistics and Modern Machine Learning. 3. Similarity Principle- Fundamental Principle of All Sciences. 4. Similarity-Principle-Based Artificial Intelligence. 5. Artificial Neural Network. 6. Deep Learning Neural Network. 7. Kernel Methods. 8. Decision Tree and Ensemble Methods. 9. Bayesian Learning Approach. 10. Unsupervised Learning. 11. Reinforcement Learning. 12.Swarm and Evolutionary Intelligence. 13. Applications of AI in Medical Science and Drug Development. 14. Future Perspectives-Artificial General Intelligence. |
| Record Nr. | UNINA-9910807439303321 |
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Chang Mark
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| Boca Raton, FL : , : CRC Press, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence for information management : a healthcare perspective / / K.G. Srinivasa, Siddesh G.M., S.R. Mani Sekhar, editors
| Artificial intelligence for information management : a healthcare perspective / / K.G. Srinivasa, Siddesh G.M., S.R. Mani Sekhar, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (332 pages) |
| Disciplina | 610.285 |
| Collana | Studies in big data |
| Soggetto topico |
Artificial intelligence - Medical applications
Intel·ligència artificial en medicina Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-0415-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483957203321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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. | UNINA-9910574075703321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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