Industry 4. 0 and Healthcare : Impact of Artificial Intelligence

• Autore: Mishra Ashish
• Pubblicazione: Singapore : , : Springer, , 2024; ©2023
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (253 pages)
• Disciplina: 610.285
• Soggetto topico: Artificial intelligence; Industry 4.0
• Altri autori: LinJerry Chun-Wei
• Nota di contenuto: Intro -- Contents -- 1 An Artificial Intelligence-Based Model for the Detection of Heart Disease Using Machine Learning -- Introduction -- Machine Learning -- Literature Review -- Related Work -- General Structure for Heart Disease Classification -- Research Methodology -- Evaluation of Performance and Results -- Analysis of Performance Metrics -- Conclusion -- Future Scope -- References -- 2 Recent Advancements in AI-Assisted Drug Design and Discovery Systems -- Introduction -- Construction of AI Model for Drug Delivery -- Input Data Preparation -- Data Format in Drug Domain -- Data Quality and Its Measurement -- Drug Discovery Using Computation and Machine Learning -- Synthesis Analysis -- AI Applications in the Production of Pharmaceuticals -- AI Applications for Drug Design -- Conclusions -- Appendix -- References -- 3 Designing Dense-Healthcare IOT Networks for Industry 4.0 Using AI-Based Energy Efficient Reinforcement Learning Protocol -- Introduction -- IoT-WSN Architecture -- IoT-WSN Architecture -- Literature Review -- Proposed RL-Based Routing Protocol Design -- Proposed RL-Based Routing Protocol Design -- Validation of EER-RL [5] Protocol -- Impact of the Transmissions Probability -- Effect of Transmission Distance of Node -- Evaluation of Learning Rates -- Impact of Higher Node Densities -- Conclusions and Future Scopes -- References -- 4 The Impact of Artificial Intelligence on Healthcare -- Introduction -- Significance of Artificial Intelligence in Healthcare -- Related Work -- Traditional System Versus AI-Based Healthcare System -- Artificial Intelligence -- Potential Applications of AI in Healthcare Systems -- Conceptual Framework -- Methodology -- Data Analysis -- AI-Based Approach for COVID-19 Treatment -- Challenges in AI-Based System -- AI, Ethics and Laws and Regulations in Healthcare -- Release Burden -- Decision Support. ; Acceptance of AI -- The Issue of Data Quality -- Conclusions -- References -- 5 Brain Tumor Segmentation of MR Images Using SVM and Fuzzy Classifier in Machine Learning -- Introduction -- Purpose of Picture Handling -- Methods of Picture Handling -- Image Classification Techniques -- Literature Survey -- The Proposed Methodology -- Brain Tumor Analysis Methodology -- Classification -- The Assessment of a Mind Growth is Predominantly Founded on a Fluffy Philosophy. -- The Design Changes from a Reasonable Progress to an Etymological -- Reference Vector Framework (SVM) -- Result and Discussion -- Classification Approval Results -- Validation 1 -- Approval 2 -- Approval 3 -- Approval 4 -- Approval 5 -- Segmentation Outcomes Examination -- Examination Assessment for Unmistakable Division Procedures -- Assembly Diagram Investigation -- Conclusion -- References -- 6 Artificial Intelligent Model for Riot and Violence Detection that Largely Affect Societal Health and Local Healthcare System -- Introduction -- Artificial Intelligence for Riot and Violence Detection -- Basic Concepts of AI for Riot and Violence -- Classification of Riot and Violence Detection Techniques -- Impact of Artificial Intelligence on Healthcare System -- Impact of Riot and Violence on Health and Healthcare System -- Impact of Riot and Violence on Health -- Impact of Riot and Violence on Local Healthcare System -- Conclusion -- References -- 7 How Artificial Intelligence is Transforming Medicine: The Future of Pharmaceutical Research -- Introduction -- General and Specific Pharmaceutical Screenings Using Artificial Intelligence -- How Can We Create Trustworthy and Efficient AI-Assisted Healthcare Systems? -- Create and Expand -- Participant Involvement and Co-Creation -- Human-Centred AI -- Fresh Experiments -- Assess and Confirm -- Size and Ubiquity -- Watch Over and Keep Up. ; Applications of Artificial Intelligence (AI) in Several Pharmaceutical Business Sectors -- Pinpoint Diagnostics -- Individualized Medicine -- Artificial Intelligence Used in Conventional Computational Drug Design -- New Therapeutic Methods -- AI for Market Research and Forecasting -- AI for Prediction of Product Cost -- AI Role in Development of Nanomedicine -- AI's Role in Emergency Notifications -- Limitations and Hindrances -- Charges for Maintenance and Service -- The Use of Energy -- Security and Confidentiality of Data -- The Management of Data -- Discovery of Novel Illnesses -- Future Scope -- Conclusion and Significant Recommendations -- References -- 8 Impression of Big Data Analytics and Artificial Intelligence for Healthcare-A Study -- Introduction -- Big Data and Healthcare -- Big Data for Healthcare -- Artificial Intelligence -- AI for Healthcare -- Big Data in Healthcare -- Role of Big Data Analytics in Healthcare -- Big Data Architecture in Healthcare -- Big Data Challenges and Opportunities in Healthcare -- AI and Healthcare -- AI Role in Renovating Healthcare -- A Case Study: Public Health System and AI -- Converging AI with Big Data Analytics for Healthcare System -- AI Will Change the Future -- Conclusion -- References -- 9 Artificial Intelligence Based Querying of Healthcare Data Processing -- Introduction to Healthcare Case Study -- Process Flow of Case Study -- Hadoop and Spark Architecture for Huge Data Storage and Effective Analytics -- Hadoop and Spark Integration -- Spark Architecture -- Conclusion -- References -- 10 A Disaster Management System Powered by AI and Built for Industry 4.0 -- Introduction -- What's Disaster? -- Vulnerability -- Risk -- Hazards -- What is DM? [3] -- Program for DM Risk in Brief -- DM in India -- The Institutional and Legal Environment -- Cyclone -- Flood -- Disaster Mitigation and Prevention. ; Preparedness -- History of Disaster and DM in India -- DM Plan for Surat [4] -- Metropolitan City, India Disaster Risk Management Profile -- Management of Earthquake -- Policy for DM in Gujarat (GSDMP) [5] -- The Bhopal Gas Tragedy -- DM Plan for GIR -- India Tsunami [6] -- Dispute and Problems -- Challenges for Current DMS -- Ideologies -- Working -- Solution -- Advantages of Integrated Disaster Management -- Essential Ingredients for Effective Disaster Management -- Conclusion -- References -- 11 A Vision for Industry 4.0 Utilising AI Techniques and Methods -- Introduction -- Innovative Manufacturing -- Intelligent Manufacturing (IM) Models Driven by Data -- Intelligent Manufacturing Systems (IMS) -- Collaboration Between Humans and Machines -- Primary Industrial 4.0 Challenges with Artificial Intelligence -- Embedded Systems with ICT Methodologies -- Key Elements of Industry 4.0 with Ai: Abcde -- Conclusion -- References -- 12 Artificial Intelligence and Optimization Strategies in Industrial IoT Applications -- Introduction -- Review of Related Works -- Operational Optimization Strategy -- Linking Return with Investment to AIoT Solutions in Industry -- Discussion -- Case Study -- Case Study: Complex Process KPIV Exploring by AIoT -- Case Study: Computer Vision -- Conclusion -- References.
• Sommario/riassunto: The book 'Advanced Technologies and Societal Change,' edited by Ashish Mishra and Jerry Chun-Wei Lin, explores the transformative impact of Industry 4.0 technologies, particularly artificial intelligence, on healthcare and societal structures. It delves into various applications of AI, including heart disease prediction, AI-assisted drug design, and healthcare data processing. The book presents a collection of research and studies that highlight the integration of AI in medical diagnostics, Industry 4.0, and disaster management systems. Aimed at professionals and researchers in technology and healthcare, it discusses AI's potential to improve healthcare outcomes, efficiency, and accessibility. The book underscores the importance of sustainable technology-driven solutions for humanitarian and societal challenges.
• Titolo autorizzato: Industry 4. 0 and Healthcare
• ISBN: 9789819919499; 9819919495
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910767587203321
• Lo trovi qui: Univ. Federico II
• Serie: Advanced Technologies and Societal Change Series