Critical Thinking Health and Medical Essay

Critical Thinking Health and Medical Essay

Critical Thinking Health and Medical EssayCritical Thinking Health and Medical Essay

Description

This Critical Thinking (CT) assignment builds on the assignments from Modules 3 and 5.

Write an Introduction based on the references identified in the Module 3 Critical Thinking assignment and the annotated bibliography created in the Module 5  Critical Thinking  assignment. The Introduction should provide an overview, background, and explanation of the research topic you chose. Include an overview of your research question, what software might be used in your analysis, and ethical principles in research.

1 AI in Healthcare HCM-505 Research Methodology in Health Dr. Sanggon Nam Critical Thinking Module 03 125 points ID: 220001446 Saud Ali Alqahtani 26/12/2022 2 Artificial Intelligence Artificial intelligence (AI) is a field of computer science and engineering that is experiencing rapid growth that aims to create intelligent computer systems. These systems are designed to replicate human intelligence by being able to perform tasks such as learning, problemsolving, decision-making, and processing natural language. AI has a wide range of applications and is being implemented in a variety of industries, including healthcare, finance, transportation, and many others.

Critical Thinking Health and Medical Essay

 

It is expected that AI will continue to become more integrated into our daily lives and will play a significant role in shaping the future of work and technology. It is essential for society to carefully consider the ethical considerations of AI and to use it in a responsible and beneficial way. The field of artificial intelligence is experiencing rapid growth that has attracted attention from the government, industry, and academia. It is important to have a study and review of AI based on industry information integration, including an overview of its background, drivers, technologies, and applications. AI implementation study can provide valuable insights for practitioners and help clarify the current state of the art in AI for future research whose main contribution is the ability to inform and guide the practical application of AI in the real world (Zhang & Lu, 2021). AI has been identified as a key technology in the fight against COVID-19, with several significant applications including detecting clusters of cases, predicting the spread of the virus, and aiding in the development of a vaccine (Dogan et al., 2021). AI has been found to be effective in mimicking human intelligence and has been used for real-time decision-making, data analysis, and tracking the status of confirmed, recovered, and deceased patients (Vaishya et al., 2020). 3 An empirical research study aimed to assess the impact of AI on education through a qualitative literature review show that AI has had a significant impact on the administrative, instructional, and learning aspects of education, including improved teacher effectiveness and efficiency and personalized learning experiences for students (Chen et al., 2020). Artificial intelligence (AI) techniques may be able to improve the management of a certain type of longterm health issue, but more research is needed to determine how to effectively use these techniques in clinical practice (Briganti & Le, 2020). The incidence of this health issue has been decreasing and there may be a lack of experience among healthcare providers, so further study is necessary to determine the best approach (Yen et al., 2021). Artificial intelligence (AI) has become a significant part of many areas and tasks, and it is expected to continue growing in the future. However, it is essential to consider the ethical implications of AI and to use it in a responsible and ethical manner to avoid any negative consequences. It is essential to build AI systems correctly and to establish international ethical guidelines to ensure that AI is used ethically and to help humans, rather than working against them (Gabriel, 2020). One critical question is whether moral responsibility for errors made by AI systems lies with the machine or the human being. It is necessary to evaluate AI from an ethical perspective to ensure that it is used in a responsible and beneficial manner (Benbya et al., 2021). As AI technologies continue to advance, it is important to carefully consider the ethical considerations of their use. To do this effectively, it is necessary to incorporate a variety of viewpoints, frameworks, and epistemologies into the discussion. We need to ensure that AI technologies are used in a socially, culturally, politically, and ethically responsible manner to address global challenges (Roche et al., 2022). It is essential to carefully consider the ethical implications of AI and to use it in a responsible and ethical manner in order to avoid negative 4 consequences and to maximize its potential benefits in various fields, as well as reflect on how normal processes and operations may be challenged by AI in terms of autonomy, inscrutability, and learning (Campion et al., 2022). 5 References Benbya, H., Pachidi, S., & Jarvenpaa, S. (2021). Special issue editorial: artificial intelligence in organizations: implications for information systems research. Journal of the Association for Information Systems, 22(2), 10. Briganti, G., & Le Moine, O. (2020). Artificial intelligence in medicine: today and tomorrow. Frontiers in medicine, 7, 27. Campion, A., Hernandez, M. G., Jankin, S. M., & Esteve, M. (2020). Managing artificial intelligence deployment in the public sector. Computer, 53(10), 28-37. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278. Dogan, O., Tiwari, S., Jabbar, M. A., & Guggari, S. (2021). A systematic review on AI/ML approaches against COVID-19 outbreak. Complex & Intelligent Systems, 7(5), 26552678. Gabriel, I. (2020). Artificial intelligence, values, and alignment. Minds and machines, 30(3), 411-437. Roche, C., Wall, P. J., & Lewis, D. (2022). Ethics and diversity in artificial intelligence policies, strategies and initiatives. AI and Ethics, 1-21. Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 337-339. 6 Yen, H. H., Wu, P. Y., Chen, M. F., Lin, W. C., Tsai, C. L., & Lin, K. P. (2021). Current status and future perspective of artificial intelligence in the management of peptic ulcer bleeding: A review of recent literature. Journal of Clinical Medicine, 10(16), 3527. Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 10022 1 Annotated Bibliography HCM-505 Research Methodology in Health Dr. Bryan Bremeier Critical Thinking Module 05 125 points ID: 220001446 Saud Ali Alqahtani 5/1/2023 2 Annotated Bibliography Benbya, H., Pachidi, S., & Jarvenpaa, S. (2021). Special issue editorial: artificial intelligence in organizations: implications for information systems research Journal of the Association for Information Systems, 22(2), 10 The article discusses the increasing use of artificial intelligence (AI) in organizations and its implications for information systems research. The authors note that AI has the potential to transform various business processes but also raises ethical concerns and challenges in terms of implementation and management. They argue that it is important for information systems researchers to study the impact of AI on organizations as well as how to effectively design and manage AI-powered systems. The authors provide a brief overview of the articles included in the special issue on AI in organizations, which cover a range of topics including the adoption and use of AI in different industries, the impact of AI on work and employment, and the ethical considerations surrounding AI. They also highlight the need for interdisciplinary research on AI in organizations, drawing on fields such as computer science, management, and sociology. Overall, this article serves as an introduction to the special issue of AI in organizations and highlights the importance of studying the impact of AI on businesses and society. It also highlights the need for interdisciplinary research in this area, as the adoption and management of AI involve a wide range of factors and considerations. Briganti, G., & Le Moine, O. (2020). Artificial intelligence in medicine: today and tomorrow Frontiers in Medicine, 7:27 Briganti and Le Moine discuss the current and potential future use of artificial intelligence (AI) in medicine. The authors begin by providing an overview of the history and current state of AI in healthcare, including its applications in areas such as diagnosis, treatment planning, and drug discovery. They then discuss the potential benefits and challenges of using 3 AI in medicine, including issues related to data privacy, security, and bias. To collect and analyze data, the authors conducted a literature review of relevant articles and reports on AI in healthcare. They used various databases, such as PubMed and Google Scholar, to search for studies published between 2010 and 2020. In addition to evaluating the results of these studies, the authors also considered the methods and limitations of the research. In terms of ethical research practices, the authors note that the use of AI in healthcare raises ethical concerns related to data privacy, security, and bias. They argue that it is important to address these issues to ensure the responsible and beneficial use of AI in medicine. The authors also call for the development of ethical guidelines and frameworks for the use of AI in healthcare and for ongoing research on the ethical implications of AI in this field. In a nutshell, this article provides an overview of the current and potential future use of AI in medicine, as well as the benefits and challenges of using AI in healthcare. It also highlights the importance of ethical research practices in this field, particularly in terms of addressing issues related to data privacy, security, and bias. In this research, Briganti and Le Moine discuss the current and potential future use of artificial intelligence (AI) in medicine. The authors begin by providing an overview of the history and current state of AI in healthcare, including its applications in areas such as diagnosis, treatment planning, and drug discovery. They then discuss the potential benefits and challenges of using AI in medicine, including issues related to data privacy, security, and bias. To collect and analyze data, the authors conducted a literature review of relevant articles and reports on AI in healthcare. They used various databases, such as PubMed and Google Scholar, to search for studies published between 2010 and 2020. In addition to evaluating the results of these studies, the authors also considered the methods and limitations of the research. In terms of ethical research practices, the authors note that the use of AI in healthcare raises ethical concerns related to data privacy, security, and bias. They argue that it is important to address 4 these issues to ensure the responsible and beneficial use of AI in medicine. The authors also call for the development of ethical guidelines and frameworks for the use of AI in healthcare and for ongoing research on the ethical implications of AI in this field. Overall, this article provides an overview of the current and potential future use of AI in medicine, as well as the benefits and challenges of using AI in healthcare. It also highlights the importance of ethical research practices in this field, particularly in terms of addressing issues related to data privacy, security, and bias. Campion, A., Hernandez, M. G., Jankin, S. M., & Esteve, M. (2020). Managing artificial intelligence deployment in the public sector Computer, 53 (10), 28–37. The research paper by Campion et al. examines the challenges and strategies for managing the deployment of artificial intelligence (AI) in the public sector. The authors argue that the use of AI in the public sector has the potential to improve service delivery, decisionmaking, and efficiency but also raises challenges related to data privacy, security, and transparency. To collect and analyze data, the authors conducted a case study of the deployment of AI in a Spanish public sector organization. They collected data through interviews with key stakeholders, including managers, employees, and citizens, as well as document analysis and observation of the organization’s AI-powered processes. The authors used a qualitative research approach, analyzing the data through thematic coding and identifying patterns and trends. In terms of ethical research practices, the authors followed ethical guidelines for research involving human subjects, including obtaining informed consent from the participants and ensuring confidentiality. They also followed ethical guidelines for data privacy and security, ensuring that the data collected and analyzed was protected and used only for the study. In conclusion, this research paper provides insight into the challenges and strategies for managing the deployment of AI in the public sector, based on a case study of a Spanish 5 public sector organization. It highlights the importance of addressing issues related to data privacy, security, and transparency in the deployment of AI in the public sector, as well as the need for ethical research practices in this field. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review IEEE Access, 8, 75264–75278. In this research, Chen, Chen, and Lin examine the use of artificial intelligence (AI) in education and its potential impact on teaching and learning. The authors provide an overview of the various applications of AI in education, including personalized learning, assessment, and tutoring. They also discuss the challenges and limitations of using AI in education, such as the need for high-quality data and the potential for bias. To collect and analyze data, the authors conducted a literature review of relevant articles and reports on AI in education. They used various databases, such as the IEEE Xplore Digital Library and Google Scholar, to search for studies published between 2010 and 2020. In addition to evaluating the results of these studies, the authors also considered the methods and limitations of the research. In terms of ethical research practices, the authors note that the use of AI in education raises ethical concerns related to privacy, security, and bias. They argue that it is important to address these issues to ensure the responsible and beneficial use of AI in education. The authors also call for the development of ethical guidelines and frameworks for the use of AI in education and ongoing research on the ethical implications of AI in this field. Overall, this article provides an overview of the current and potential future use of AI in education, as well as the benefits and challenges of using AI in this field. It also highlights the importance of ethical research practices in the use of AI in education, particularly in terms of addressing issues related to privacy, security, and bias. 6 Dogan, O., Tiwari, S., Jabbar, M. A., & Guggari, S. (2021). A systematic review of AI and ML approaches against the COVID-19 outbreak Complex & Intelligent Systems, 7(5), 2655-2678. In this systematic review, Dogan et al. examine the use of artificial intelligence (AI) and machine learning (ML) approaches to address the COVID-19 pandemic. The authors provide an overview of the various applications of AI and ML in this context, including forecasting the spread of the disease, predicting the demand for resources, and identifying potential treatments. They also discuss the challenges and limitations of using AI and ML in the fight against COVID-19, such as the need for high-quality data and the potential for bias. To collect and analyze data, the authors conducted a systematic review of relevant articles and reports on AI, ML, and COVID-19. They used various databases, such as PubMed, Web of Science, and Google Scholar, to search for studies published between January 2020 and December 2020. The authors followed a systematic review methodology, including the use of predetermined inclusion and exclusion criteria, and used a quality assessment tool to evaluate the studies. In terms of ethical research practices, the authors note that the use of AI and ML in the context of COVID-19 raises ethical concerns related to data privacy, security, and bias. They argue that it is important to address these issues to ensure the responsible and beneficial use of AI and ML in this context. The authors also call for the development of ethical guidelines and frameworks for the use of AI and ML in the fight against COVID-19 and for ongoing research on the ethical implications of AI and ML in this field. The systematic review provides an overview of the current and potential future use of AI and ML in the fight against COVID-19, as well as the benefits and challenges of using AI and ML in this context. It also highlights the importance of ethical research practices in the use of AI and ML in this context, particularly in terms of addressing issues related to data privacy, security, and bias. 7 Gabriel, I. (2020). artificial intelligence, values, and alignment. Minds and Machines, 30(3), 411-437 In this research article, Gabriel discusses the relationship between artificial intelligence (AI) and values and the need for AI systems to be aligned with human values. The author argues that AI systems have the potential to reflect and amplify the values of their designers and users and that it is important to ensure that these values are ethical and aligned with human interests. To collect and analyze data, the author conducted a literature review of relevant articles and reports on AI and values. The author used various databases, such as the ACM Digital Library and Google Scholar, to search for studies published between 2010 and 2020. In addition to evaluating the results of these studies, the author also considered the methods and limitations of the research. In terms of ethical research practices, the author notes that the relationship between AI and values raises ethical concerns related to the potential for AI systems to reflect and amplify unethical values. The author argues that it is important to address these issues to ensure the responsible and beneficial use of AI. The author also calls for the development of ethical guidelines and frameworks for the design and use of AI systems and ongoing research on the ethical implications of AI. In a nutshell, this research article discusses the relationship between AI and values and the need for AI systems to be aligned with human values. It highlights the importance of ethical research practices in the field of AI, particularly in terms of addressing issues related to the potential for AI systems to reflect and amplify unethical values. Roche, C., Wall, P. J., & Lewis, D. (2022). Ethics and diversity in artificial intelligence policies, strategies, and initiatives AI and Ethics, 1–21. The research by Roche, Wall, and Lewis discusses the ethical and diversity implications of artificial intelligence (AI) policies, strategies, and initiatives. The authors argue that AI has 8 the potential to perpetuate or address inequalities and biases and that it is important to consider ethical and diversity considerations in the development and implementation of AI policies and initiatives. To collect and analyze data, the authors conducted a literature review of relevant articles and reports on AI ethics and diversity. They used various databases, such as the ACM Digital Library and Google Scholar, to search for studies published between 2010 and 2020. In addition to evaluating the results of these studies, the authors also considered the methods and limitations of the research. In terms of ethical research practices, the authors note that the study of AI ethics and diversity raises ethical concerns related to the potential for AI systems to perpetuate or address inequalities and biases. The authors argue that it is important to address these issues to ensure the responsible and beneficial use of AI. The authors also call for the development of ethical guidelines and frameworks for the design and use of AI systems and ongoing research on the ethical and diversity implications of AI. Overall, this research article discusses the ethical and diversity implications of AI policies, strategies, and initiatives. It highlights the importance of ethical research practices in the field of AI, particularly in terms of addressing issues related to the potential for AI systems to perpetuate or address inequalities and biases. Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial intelligence (AI) applications for the COVID-19 pandemic Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 337–339 In the research, Vaishya et al. discuss the use of artificial intelligence (AI) to address the COVID-19 pandemic. The authors provide an overview of the various applications of AI in this context, including forecasting the spread of the disease, predicting the demand for resources, and identifying potential treatments. They also discuss the challenges and limitations of using AI in the fight against COVID-19, such as the need for high-quality data and the potential for bias. To collect and analyze data, the authors conducted a literature review of 9 relevant articles and reports on AI and COVID-19. They used various databases, such as PubMed and Google Scholar, to search for studies published between January 2020 and June 2020. In addition to evaluating the results of these studies, the authors also considered the methods and limitations of the research. In terms of ethical research practices, the authors note that the use of AI in the context of COVID-19 raises ethical concerns related to data privacy, security, and bias. They argue that it is important to address these issues to ensure the responsible and beneficial use of AI in this context. The authors also call for the development of ethical guidelines and frameworks for the use of AI in the fight against COVID-19 and for ongoing research on the ethical implications of AI in this field. Overall, this review article provides an overview of the current and potential future use of AI in the fight against COVID19, as well as the benefits and challenges of using AI in this context. It also highlights the importance of ethical research practices in the use of AI in this context, particularly in terms of addressing issues related to data privacy, security, and bias. Yen, H. H., Wu, P. Y., Chen, M. F., Lin, W. C., Tsai, C. L., & Lin, K. P. (2021). Current status and future perspective of artificial intelligence in the management of peptic ulcer bleeding: A review of recent literature Journal of Clinical Medicine, 10(16), 3527. In this research, Yen et al. examine the use of artificial intelligence (AI) in the management of peptic ulcer bleeding. The authors provide an overview of the various applications of AI in this context, including the prediction of bleeding risk and the optimization of treatment strategies. They also discuss the challenges and limitations of using AI in the management of peptic ulcer bleeding, such as the need for high-quality data and the potential for bias. To collect and analyze data, the authors conducted a literature review of relevant articles and reports on AI and peptic ulcer bleeding. They used various databases, such as PubMed and Google Scholar, to search for studies published between 2010 and 2021. In addition to evaluating the results of these studies, the authors also considered the methods and 10 limitations of the research. In terms of ethical research practices, the authors note that the use of AI in the management of peptic ulcer bleeding raises ethical concerns related to data privacy, security, and bias. They argue that it is important to address these issues to ensure the responsible and beneficial use of AI in this context. The authors also call for the development of ethical guidelines and frameworks for the use of AI in the management of peptic ulcer bleeding and for ongoing research on the ethical implications of AI in this field. Overall, this review article provides an overview of the current and potential future use of AI in the management of peptic ulcer bleeding, as well as the benefits and challenges of using AI in this context. It also highlights the importance of ethical research practices in the use of AI in this context, particularly in terms of addressing issues related to data privacy, security, and bias. Zhang, C., & Lu, Y. (2021). Study on Artificial Intelligence: The State of the Art and Future Prospects Journal of Industrial Information Integration, 23, 10022. In this review article, Zhang and Lu provide an overview of the current state of the art and prospects of artificial intelligence (AI). The authors discuss the various applications of AI in different domains, including healthcare, education, and industry. They also discuss the challenges and limitations of using AI, such as the need for high-quality data and the potential for bias. To collect and analyze data, the authors conducted a literature review of relevant articles and reports on AI. They used various databases, such as the IEEE Xplore Digital Library and Google Scholar, to search for studies published between 2010 and 2021. In addition to evaluating the results of these studies, the authors also considered the methods and limitations of the research. In terms of ethical research practices, the authors note that the use of AI raises ethical concerns related to data privacy, security, and bias. They argue that it is important to address these issues to ensure the responsible and beneficial use of AI. The authors 11 also call for the development of ethical guidelines and frameworks for the use of AI and ongoing research on the ethical implications of AI. In conclusion, this review article provides an overview of the current state of the art and prospects of AI. It discusses the various applications of AI in different domains as well as the benefits and challenges of using AI. It also highlights the importance of ethical research practices in the field of AI, particularly in terms of addressing issues related to data privacy, security, and bias. 12 References Benbya, H., Pachidi, S., & Jarvenpaa, S. (2021). Special issue editorial: artificial intelligence in organizations: implications for information systems research. Journal of the Association for Information Systems, 22(2), 10. Briganti, G., & Le Moine, O. (2020). Artificial intelligence in medicine: today and tomorrow. Frontiers in medicine, 7, 27. Campion, A., Hernandez, M. G., Jankin, S. M., & Esteve, M. (2020). Managing artificial intelligence deployment in the public sector. Computer, 53(10), 28-37. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278. Dogan, O., Tiwari, S., Jabbar, M. A., & Guggari, S. (2021). A systematic review on AI/ML approaches against COVID-19 outbreak. Complex & Intelligent Systems, 7(5), 26552678. Gabriel, I. (2020). Artificial intelligence, values, and alignment. Minds and machines, 30(3), 411-437. Roche, C., Wall, P. J., & Lewis, D. (2022). Ethics and diversity in artificial intelligence policies, strategies, and initiatives. AI and Ethics, 1-21. Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial Intelligence (AI) applications for the COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 337-339. Yen, H. H., Wu, P. Y., Chen, M. F., Lin, W. C., Tsai, C. L., & Lin, K. P. (2021). Current status and future perspective of artificial intelligence in the management of peptic 13 ulcer bleeding: A review of recent literature. Journal of Clinical Medicine, 10(16), 3527. Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and prospects. Journal of Industrial Information Integration, 23, 10022

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