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Computational Intelligence in Healthcare Law
This book explores the intersection of legal frameworks, healthcare innovation, and computational intelligence, shedding light on how emerging technologies like artificial intelligence (AI) and machine learning (ML) are reshaping the medical landscape. It presents real- life challenges such as patient privacy, data security, and compliance issues in smart healthcare by delving into the associated ethical and regulatory implications. Comprising the concepts of predictive analytics, regulatory compliance algorithms, and legal decision- making processes, this book offers a roadmap for stakeholders to navigate the evolving landscape of healthcare innovation responsibly and ethically. Features: I...
Artificial Intelligence Enabled Management
Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and ...
Physical Health, Mental Health, and Human Well-Being in the Age of AI
Amidst the complexities of modern life, the importance of human well-being in its various dimensions is a continual priority. As artificial intelligence (AI) becomes a key influence in nearly every facet of modern life, it raises essential questions about the current and future state of human health and well-being. While AI has the potential to revolutionize healthcare, enhance mental health support, and improve overall quality of life, it also presents challenges regarding privacy, ethical considerations, and the impact of automation on human relationships and mental health. Navigating these opportunities and concerns requires a balanced approach to ensure that technological advancements al...
Net Zero Economy, Corporate Social Responsibility and Sustainable Value Creation
This edited volume brings together contributions from multiple experts in academia to explore the practical implications of the Net Zero Economy for corporate social responsibility and sustainable value creation in today's world. As the world approaches net-zero emissions by 2050, it is crucial for businesses to take corporate social responsibility seriously and make credible attempts to achieve sustainable value creation while reducing their greenhouse gas emissions. The book provides a comprehensive guide to navigating the complexities of corporate responsibility in the net-zero economy, drawing on the expertise of scholars in sustainable supply chain, environmental sciences, management, sustainable business management, and social sciences. With contributions from multiple experts, it examines the challenges that businesses face in reducing their climate impact and highlights the green growth opportunities that they can take advantage of in the net-zero transition. This edited volume is an essential read for students, research scholars, and industrial professionals working in sustainable development, eco-friendly business management, and corporate social responsibility.
Metaverse and Digital Twins
This book covers innovative research topics on Metaverse, Digital Twins and Disease Screening and Precision medicines which represents the convergence of three significant technological trends, each with the potential to impact healthcare on its own. However, when combined, they could establish entirely novel avenues for delivering care, offering the potential to reduce costs significantly and greatly enhance patient outcomes. These trends include telepresence/telemedicine, the digital twin (DT), and blockchain. Telepresence refers to people's capacity to virtually be together despite physical distance. This can be achieved through virtual reality (VR, immersing the user entirely), augmented reality (AR, overlaying artificial images onto a real image), or other methods. Aside from VR and AR, distinguish two other metaverse types: lifelogging (capturing, storing, and sharing everyday experiences and information about objects and people) and the mirror world (reflecting the real world but integrating and providing external environment information). In the healthcare context, telepresence is predominantly utilized in telemedicine, which involves delivering medical services remotely.
Machine Learning and Robotics in Urban Planning and Management
The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generat...
Artificial Intelligence in Peace, Justice, and Strong Institutions
Artificial intelligence (AI) plays a transformative role in advancing peace, justice, and strong institutions by providing innovative solutions to complex societal challenges. In areas like conflict resolution, legal systems, and governance, AI enhances decision-making, improves efficiency, and increases transparency. AI-powered tools assist in monitoring human rights abuses, predicting conflict zones, and ensuring fair and unbiased legal processes through automated analysis of case law. It can help strengthen institutions by improving public service delivery, combating corruption, and fostering greater civic participation. As nations strive to meet the United Nations' Sustainable Developmen...
Forensic Intelligence and Deep Learning Solutions in Crime Investigation
The massive advancement in various sectors of technology including forensic science is no exception. Integration of deep learning (DL) and artificial intelligence (AI) in forensic intelligence plays a vital role in the transformational shift in the effective approach towards the investigation of crimes and solving criminal investigations with foolproof evidence. As crimes grow increasingly sophisticated, traditional investigative tactics may be inadequate to grapple with the complexities of transnational criminal organizations. DL uses scientific tools for the recognition of patterns, image and speech analysis, and predictive modeling among others which are necessary to help solve crimes. By...
