International Journal of Social, Humanities and Life Sciences

AI in Healthcare, Oncology, Petroleum, Fraud Detection, Chatgpt, and Cybersecurity: Innovative Approaches and Emerging Solutions

Ibrar Hussain — 2024-12-06

The integration of artificial intelligence (AI) into healthcare, particularly in vaccine development and distribution, presents both opportunities and challenges from an ethical perspective. This paper explores the ethical considerations surrounding AI implementation in healthcare, focusing on transparency, fairness, accountability, privacy, and ongoing evaluation. Ensuring responsible and equitable implementation of AI technologies is paramount to safeguarding individual rights, promoting fairness, and mitigating potential harms. AI in Chatgpt is revolutionizing industries by enhancing automation, improving decision-making, and facilitating communication. Transparency is essential for building trust among stakeholders and promoting informed decision-making. Fairness and equity must be prioritized to mitigate biases and disparities in vaccine distribution and allocation. Accountability and responsibility are crucial for ensuring that AI algorithms are developed and deployed ethically, with mechanisms for recourse in case of errors or unintended consequences. Privacy and data protection are fundamental to safeguarding patient confidentiality and autonomy, requiring strict adherence to privacy standards and patient consent. Ongoing evaluation and monitoring of AI algorithms are necessary to assess their performance and impact on patient outcomes, with transparency regarding algorithmic decision-making processes. By addressing these ethical considerations and integrating them into AI-driven healthcare initiatives, stakeholders can harness the transformative potential of AI while upholding ethical standards and promoting public trust in healthcare systems.

Revolutionizing Healthcare with AI: New Trends in Oncology, Chatgpt, Oil and Gas Scams, and Information Technology Security

Mohammad Ali — 2024-12-06

Artificial intelligence (AI) is today rapidly revolutionizing businesses around the world by providing exceptional opportunities in areas like healthcare, petroleum fraudulent activities, and cybercrime. AI is progressing in healthcare; it is reshaping cancer diagnosis and therapy by early diagnosis and offering the right treatment tailored toddle and the patient genetics in order to enhance patients’ lives and their prognosis. Thus, the uniqueness of its approach in handling massive volumes of medical information has produced impressive advancements in the areas of diagnostics, pharmaceuticals and therapies. AI has become indispensable in the petroleum industry in areas such as; fraud identification and prevention, analysis of transaction data, inventory and environmental reporting to minimize cost and legal infringement. AI integration contributes positively to midlife promising technologies such as block chain, especially by improving the transparency and security, especially where there is tendency of manipulating prices and other fraudulent deeds. In cybersecurity, artificial intelligence is enhancing the fortification measures meaning real-time threat identification & protection, resource vulnerability management, and anticipation and prevention of equipment failure for protection of pivotal structures from cyber threats. Businesses are being revolutionized by ChatGPT's AI, which increases automation, improves decision-making, and streamlines communication. In cancer, it facilitates the study of medical data for treatment planning, while in healthcare, it supports diagnostic procedures and patient involvement. AI is slowly but surely approaching the mainstream in a number of industries, where it increasingly serves as an effective means of increasing operational effectiveness, security, and credibility. Some of the outstanding issues include; quality of data to feed these models, integration issues, and need for specialists, but the future of AI holds more intelligent, adaptive, and secure systems making it a key enabler across economic sectors. This article focuses on the puritanical uses of the AI and on how this technology could change many sectors for the best while creating more opportunities for growth and optimization.

Challenges and Benefits of AI Adoption in Healthcare: A Global Perspective

Murad Khan — 2024-12-02

One of the most significant trends of today’s healthcare is based on the usage of Artificial Intelligence for the changes of the whole healthcare system, as well as the evolution of the diagnostic tools, the uniqueness of approach to patients, effectiveness of the option that is needed for organizing the system of Healthcare. The following possibilities schooled that information technologies and, in particular, artificial intelligence can solve the problems of the growth of costs and deficit of the health care workers and uneven distribution of the health care all over the world. However, with II also come its disadvantages such as data privacy influences; biases in algorithms; regulatory limitations; and resistance from staff, including healthcare providers. Ironically, liberties of ethic such as openness, responsibilities and evenhandedness may be taken to right structures of AI are used. Thus, from this paper, we are recommending that as AI advancement continues there is an opportunity in healthcare of improving the IoMT via integration of block chain to offer better, faster and secure patient care. At the same time, at the patient level, it has integrated the concept of individual and precision medicine based on artificial intelligence state for changing the algorithms of treatment by offering individual treatment based on genomics and phenotype of patients. But, learning from these accomplishments there are some challenges to the development of the health systems worldwide including; low toned technological equipment to make relevant, affordable, and adoptable Artificial Intelligence solution. In addition, it assumes the specification of the right policies and of ethical code of conduct as well as the continuous co-engagement of AI, clinicians and policy-makers. Here are the issues for which there could hardly be any arguments as to why AI can and will revolutionize the delivery of healthcare in future to become Fair Efficient and with Patient-Centricity across the world.

Cybersecurity and Information Assurance: Bridging the Gap

Nahid Neoaz — 2024-11-30

Both cyber security and information assurance have been more or less intertwined especially in the current society where innovation and technology has remained the core business of most organizations in the global v`=y. While cybersecurity is the protection of systems, networks and data against possible attack, information assurance will ensure confidentiality, availability and integrity of information in an unending fashion. However in practice, they are the components of that security strategy and although getting them integrated can pose some conceptual challenges, the process involves technical, organizational and cultural dimensions. In this paper I’m going to explain the differences between these two fields and how do they match – to what extent they have to ‘perfectly fit’ each other for the sake of constant functional threat-protection and data dependability warfare. More specifically, it points out that applying the structural-mapped techniques such as NIST, ISO 27001 or COBIT can guide on how to structure the methodologies to address the gap. Also, technological advancements such as artificial intelligence, block chain and IoT security are presented as potential solution to cybersecurity and assurance. Nonetheless, human and culture aspects are considered relevant to integration in the process. This is because challenges; structural silos, disparities in goals and objectives and lack of expertise reduce the likelihood of synergy between cybersecurity and information assurance. The means of addressing these barriers are through training that involves cross training, growing interdependency, and increasing security through leadership and delegation responsibilities. This is due to the application of frameworks together with emerging technologies and people in formulating a strategy with elements of both tactical and strategic cybersecurity.

Securing the Future: A Comprehensive Review of AI in Healthcare Cybersecurity and Information Access

Hafiz Abdul Rouaf — 2024-12-31

When AI is incorporated in health sectors; it evolved as a revolutionary innovation and new and massive cyber-security issues. As application of AI gains traction there is always the need to safeguard such health information from disclosure. Primary, this article is concentrated mostly on the connection between AI and healthcare cybersecurity and data protection with the additional emphasis made on the need for improving security to safeguard patient and medical applications. Discussions include AI for predictive threat and risk analysis of systems, smart access control, and security of medical devices and integration of block chain with AI. This article also discusses other types of guidelines for the use of AI in health services including HIPAA and GDPR then the ethical concerns on transparency, fairness and sample bias in algorithms. While attempting to address these challenges affecting healthcare organizations, other options like consumption of AI automation, utilization of AI protective tools, and block chain could help in the enhancement of the stability of the system and protection of data. However, it remains unclear how these requirements can be met while addressing new technologies and ethical and legal perspectives of their application. Altogether, the protection of healthcare cybersecurity in the future will employ the integration of using AI technology and also making consideration of the patients’ data privacy, the fast reception of AI technology, and the ethical use of AI in health establishments. For that, AI could help to improve both the security and productivity of the healthcare systems by promoting the innovation more and addressing new challenges in cyber space and/or new moral dilemmas.

AI, Machine Learning, and Deep Learning in Cardiovascular Devices and Cancer Medicine: Innovations in Healthcare, Chatgpt, Cybersecurity, and Aerodynamics

Bimalendu Pendy — 2024-12-31

The infusion of AI, ML, DL, ChatGPT, and cybersecurity with fluid and aerodynamics atone at cardiovascular care and the progressive state of cancer therapy. AI increases tools such as pacemakers, defibrillators, cancer diagnostic systems, whereas ML in heart diseases and cancer improved imaging accuracy. ChatGPT helps in supporting healthcare by providing real-time data analysis, improving organizational efficiency and providing customized care management for cardiovascular and cancer patients. Cybersecurity addresses patient information protection and safety of devices used in the treatment and diagnosis of a range of health complications such as diabetes and heart disease, stents and valves, pumps used in kidney failure and in the administration of cancer-fighting drugs. This paper gauges the roles of these innovations in improving patent care, device efficiency and global health outcomes, providing accurate, timely and long-lasting solutions in cardiovascular and oncologic medicine.

Advancements in AI, Machine Learning, and Deep Learning for Cardiovascular Devices: Exploring Healthcare, Chatgpt, Cybersecurity, and Aerodynamics Innovations

Bimalendu Pendy — 2024-12-21

Imagination and innovation of contemporary cardiology have been highlighted through the use of AI, ML and DL in the enhancement of modern cardiovascular devices to improve the efficiency of treatment. This review focuses on increasing adoption and advancement of AI and ML technologies in improvement of the design, performance, and usability of cardiovascular devices including pumps, stents, valves, and wearable monitors. AI-supported aerodynamics brings considerations regarding blood flow dynamics, while cybersecurity countermeasures respond to safety issues concerning the devices interfaced with AI. Also, Chatgpt is a valuable tool in assisting healthcare providers with therapeutic, emergent illumination, and enhancing the manner in which the patient is addressed. Smart wearable devices and remote monitoring are extensively used for early diagnosis and non-pharmacological treatment of diseases with the help of AI and for preventing further cardiovascular events. However, the barriers of privacy and regulation, AI holds a potential future in cardiovascular devices and in the health sector as a whole in the sense of efficiency, reduction of costs, and above all patient-oriented treatment.

Revolutionizing Cardiovascular Devices: AI, Machine Learning, conversational AI and Deep Learning in Healthcare, Cybersecurity, and Aerodynamics

George Edison — 2024-12-23

AI, ML, and DL have played a major role in enhancing and improving cardiovascular devices leading to more effective treatment methods, tailored treatment, and thus more precise. This paper aims to discuss the ways in which AI and ML improve design, efficiency and reliability of cardiovascular equipment such as pumps, stents, valves, and wearable monitoring devices. Also aerobic activity enhanced by AI and catering to blood flow dynamics and heart rhythms thereby enhancing patient health. One example is a chatbot – Chatgpt, which can provide more precise real-time information, help to make decisions or explain the information provided to patients. Similarly, cybersecurity initiatives work well to deal with risks which arise from artificial intelligence in medical instruments. Cardiovascular diseases have benefited from these advances with wearables and remote monitoring systems using artificial intelligence. Nevertheless, the incorporation of AI into cardiovascular healthcare has come with problems like data privacy and compliance that are foreseeable to hinder the implementation of AI in cardiovascular healthcare in the future; on the same note, this incorporation has the potential to transform a cardiovascular healthcare setting, providing an efficient and patients’ focused procedure in the end.

Transforming Cancer Medicine, Cardiovascular Devices, and Healthcare with AI, Machine Learning, and Deep Learning: Pioneering Innovations in Cybersecurity Solutions, Aerodynamics, Chatgpt and Clinical Integration

George Edison — 2024-12-27

AI, ML, and DL are at the forefront to improve and advance cardiovascular devices and techniques which in turn has led to better treatment and thus particular and accurate. This paper seeks to address several questions about how AI and ML enhance design, performance, and dependability of cardiovascular apparatus including pumps, stents, valves, and wearable monitoring tools. Also aerobic activity that is boosted by AI and tailored with the blood flow patterns and heart rhythms to improve patient’s health. For example, there is a chatbot – Chatgpt, which gives more accurate and actual information in real-time, makes a decision or explains the given information to patients. Likewise, cybersecurity measures apply effectively to manage risks resulting from AI incorporated into medical instruments. These have been of help to cardiovascular diseases with wearables and remote monitoring systems applying artificial intelligence. However, when embedding AI to cardiovascular healthcare, one is likely to encounter issues such as data privacy and compliance that are likely to act as bottlenecks for the implementation of AI in cardiovascular healthcare in the near future; conversely, this incorporation can revolutionize a cardiovascular healthcare setting by availing an effective and patients oriented procedure in the long run.

Advancing Healthcare Security: The Role of AI, Deep Learning, and Machine Learning in Cybersecurity, Information Access Management, Cardiovascular Devices, Aerodynamics, Chatgpt Integration, and Cancer Medicine

Alexandra Harry — 2024-12-25

This paper identifies and discusses the role of integrating healthcare technologies, including AI, DL, and the Internet of Medical Things (IoMT). In this paper, AI and the various sub-disciplines are proposed as key to increasing healthcare security, protecting patients’ data privacy, and improving access control systems. Secondly, it explores how artificial intelligence is transforming cardiovascular devices through real-time and analysis of patient data that can greatly enhance the result. AI in the field of aerodynamics is also described and its possibility to advance medical devices and technologies for enhanced accuracy and performance is also described. Besides, the paper presents how the AI models such as Chatgpt in helping healthcare workers to provide diagnostics and patient communication and how such models support the development of individual cancer therapy and diagnostics based on targeted research and analytics. Such an approach emphasizes the ability of AI not only to solve the problems in the sphere of healthcare security but also to open new opportunities that relate to various advancements in the spheres of medicine, improvements in patients’ conditions and more effective organization of diagnostics and treatment processes.

Innovations in Cardiovascular Devices: The Role of AI, Chatgpt, Machine Learning, Deep Learning, Healthcare, Cybersecurity, Cancer medicine and Aerodynamics

Alexandra Harry — 2024-12-20

AI, ML, DL, and fluid dynamics promise dramatic improvements in the cardiovascular devices performance and quality of diagnosing, treating, and mitigating cardiovascular diseases and conditions. Like in cases of pacemakers, ventricular assist devices, artificial heart valves, AI and ML make real time data monitoring and analytics for better blood flow. It may improve patient awareness, can be used as an adjunct to patient care, and optimize researchers’ interactions. Lessons learned from cancer medication are also being applied to the management of cardiovascular disease: dealing with the cancer treatment side effects and integrating care. These technologies result into creating smarter devices, tackling of complications and enhanced patient practices. Optoelectronic properties are improved by updated materials, combined devices, and interlinked specialists and scientists. However, these innovations also come with cliegibosurve features like patient data security, cybersecurity and legal issues. In totality, AI, ML, DL, aerodynamics, Chatgpt and cancer medicine enhance customized, effective and inexpensive heart disorder treatments with improved long-term cure rates and patient satisfaction.