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Healthcare Meets AI: Innovations, Applications, and Ethical Considerations Khan, Murad; Sherani, Abdul Mannan Khan
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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AI is transforming healthcare through enhancing diagnostic capability, treatment planning, and drug discovery or even in the management of care organizations. AI technologies are used for differential diagnostics, individual management of patients, increasing the effectiveness of treatment in different branches of medicine and optimizing the work of health care systems. The use of machines in diagnostics, risks and outcomes forecast, and treatments like individualized cancer therapies, are already being seen to provide realistic value and enhance the quality of patients’ lives and yield as well as the pace of scientific discovery faster. The author believes that similar to creating new drugs, applying Artificial Intelligence in drug discovery process and other Healthcare aspects shows how beneficial it can be. Nevertheless, people can use AI extensively in healthcare practices, appearing to come up with certain ethical concerns. These are among the emerging issues: safe and secure data and, in particular, avoiding the risks of bias within artificial intelligence models, and respondent to transparency of decisions made by artificial intelligence. To reduce the unfair treatment of certain populations AI systems should be trained on diverse data and the data used to make decisions should be understandable. However, questions arising from patient self-determination, and especially informed consent can also be a challenge to such innovations in this regard hence the need to handle with care. This review aims at reviewing current AI advances and health care, review the ethical issues arising from these gadgets and lastly the importance of a responsible use. The things to do to augment its possibilities and avoid potential risks will entail retaining patient sovereignty; governing the impact of AI systems to be fair; and deem AI accountability. With involvement of stakeholders from the healthcare, informational technology, and the government, AI has the potential to revolutionize health care service delivery for improved efficiency and social justice.

From Data to Decisions: The Impact of AI on Healthcare Systems Khan, Murad; Sherani, Abdul Mannan Khan
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Artificial Intelligence (AI) has gradually permeated almost all aspects of healthcare delivery emerging as a critical enabler for continued advancement. Let us investigate literature on AI in the subject domain of healthcare which comprises diagnostics, clinical decision, medicine customization and health care regulation systems. Machine learning deep learning, natural language processing are improving the clinical analytics by improving diagnosis, treatment, and care. Furthermore, also integrally involves AI in activities and tasks that aimed at improving the facility’s operations such as the distribution of resources, patients’ traffic and numerous administrative duties. This paper acknowledges that there is a great potential in the use of AI in the healthcare sector, but there arises important ethical questions around the use of AI such as data ownership, fairness of the algorithm, and fears around transparency and accountability. Remaining issues affecting its growth include regulatory issues since the existing frameworks cannot cope with the emerging AI innovations. The future of adopting AI has potentialities on early detection of diseases and illnesses, discovery of new drugs, tele-medicine, and in the international health sector. AI will help with increasing the availability of healthcare for patients in the regions where the necessary facilities are scarce and advancing the creation of individual treatment plans. But for that to happen, it is important to solve ethical, regulating and data problems connected with AI deployment. The successful implementation of AI in HC has possibilities to achieve better patient outcomes, decrease costs and general advancement of quality and accessibility of HC for everyone in the world.

Navigating the AI-Driven Healthcare Era: A Review of Key Developments Khan, Murad; Sherani, Abdul Mannan Khan
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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The application of Artificial Intelligence (AI) in the provision of healthcare has brought some tremendous changes in medical practices; achieving breakthroughs in diagnostics, treatment and healthcare management. Artificial Intelligence in particular is improving diagnosis identification, disease identification and diagnosis, managing administration information, etc. Chronic disease management: Using artificial intelligence tomorrow’s sicknesses today, using your genes, environment, and even lifestyle/personal choices to deliver more effective cures with minimal side effects. However, several ethical questions are attached to the use of AI in healthcare such as data control, fairness of the algorithms used, and user control and thus for any organization to adopt the use of AI, the following questions should be appropriately answered. Nonetheless, there is a great deal of promise for the application of AI in healthcare including: the alleviation of healthcare inequalities, enhancement on the clinical decision making processes, positive promotion of prevention and patient-centered care delivery. Depending on the further advancement of AI the future in the field of healthcare will include new creations in a predictive analysis of a patient’s condition and in automated systems for a personalized treatment that will improve the operating quality and accessibility of the options for medical services. However, technology and Artificial Intelligence in specifically have the potential of transforming the industry completely than envisaged especially if there shall be set down stringent ethical consideration and research collaboration in this domain by health care professional, technologist, and policymakers. At the end, the purpose of AI in health care is to make health care smarter and superior with the help of human intelligent thus making health care systems efficient, fair towards all patients.

Artificial Intelligence in Healthcare: Current Trends and Emerging Technologies Sherani, Abdul Mannan Khan; Khan, Murad
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Many fields, and especially the healthcare sector that is many folds complex, are currently on the brink of disruption by AI. This piece examines the present and emerging kinds and applications of AI in the healthcare context, such as diagnostic, precise, prescription and virtual assistant IPs. Several aspects of applying AI technologies have already made significant impacts on the healthcare sector such as: Huge amount of data, correct diagnosis, treatment decisions for every specific case. However to advance and apply AI fairly and efficiently some issues that faced AI included integration, no standardization, financial issues, and privacy and bias problem. Depending on the recommendation of artificial intelligence such as machine learning, deep learning, natural language processing, and robotic surgery a long-awaited expectation comes with the issue of the improvement of the rate of health practice. The appropriateness of the AI for the betterment of health care in the future has been magnificently observed in PM, WI, and CT. Wearable technology and more, importantly, the constant surveillance by artificial intelligence can be a much better method in many such circumstances. Nevertheless, there are controversies connected with such a trust issue and the adoption among health care providers as main difficulties which need to overcome. AI presents the health sector with the prospects of a new style of, novel, optimal and affordable care regardless of the difficulties stated above. Thus, this paper concluded that for healthcare proactively benefit from AI, this sector requires fixing the technical, ethical and legal issues with an aim of improving the patients’ diagnosed and the health systems globally.

Convergence of AI and Healthcare: A Review of Machine Learning Applications Sherani, Abdul Mannan Khan; Khan, Murad
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.5158

The integration of AI and healthcare can act as the foundation for improving the medical business and the diagnosis and treatment process, as well as patient throughputs. Guided by the following objectives: the current review seeks to discuss what can perhaps be considered as the most revolutionary aspect of care: namely, use of the ML. Software such as the radiology algorithms as well as the prediction tools in healthcare are already narrowing down the error margin. This shifting of life through the practice of genetics by the improvement of AI in managing genetics as the world turns to individualized approach of patients. However, there is a list of challenges that arise when applying AI in the healthcare industry: Data protection and Algorithmic or and The question of who or what is responsible for the AI applications. Clinical decision involving the use of AI has ethical and regulatory issues that need to be addressed therein. But AI does hold a massive amount in advancing the clinical results, in reducing the costs and in making the health care system much stronger, proactive, personalized and efficient. As to the future trends for the use of AI in health care; it will be employed in pharmacology and drug development; in surgery through robot control; and patient management through tele monitoring; as well as in precision care and health information analytics and forecasting. New solutions to still pending issues in data protection, data sharing and objectivity will be important in the future of AI in health care. In sum, this paper proposed that AI is an innovative tool in healthcare’s, that has the potential to redefine the possibilities of how patient care can be delivered, and clinical work can be done, provided the steering wheel of ethical and regulatory burdens is pulled well.

Convergence of AI and Healthcare: A Review of Machine Learning Applications Sherani, Abdul Mannan Khan; Khan, Murad
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.5158

The integration of AI and healthcare can act as the foundation for improving the medical business and the diagnosis and treatment process, as well as patient throughputs. Guided by the following objectives: the current review seeks to discuss what can perhaps be considered as the most revolutionary aspect of care: namely, use of the ML. Software such as the radiology algorithms as well as the prediction tools in healthcare are already narrowing down the error margin. This shifting of life through the practice of genetics by the improvement of AI in managing genetics as the world turns to individualized approach of patients. However, there is a list of challenges that arise when applying AI in the healthcare industry: Data protection and Algorithmic or and The question of who or what is responsible for the AI applications. Clinical decision involving the use of AI has ethical and regulatory issues that need to be addressed therein. But AI does hold a massive amount in advancing the clinical results, in reducing the costs and in making the health care system much stronger, proactive, personalized and efficient. As to the future trends for the use of AI in health care; it will be employed in pharmacology and drug development; in surgery through robot control; and patient management through tele monitoring; as well as in precision care and health information analytics and forecasting. New solutions to still pending issues in data protection, data sharing and objectivity will be important in the future of AI in health care. In sum, this paper proposed that AI is an innovative tool in healthcare’s, that has the potential to redefine the possibilities of how patient care can be delivered, and clinical work can be done, provided the steering wheel of ethical and regulatory burdens is pulled well.

Promise and Pitfalls of AI in Healthcare: A Critical Review Khan, Murad; Sherani, Abdul Mannan Khan
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 2 (2024): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i1.3943

AI is already becoming a disruptive technology in healthcare in so far as this can be explored as a means for improving diagnosis, individualizing treatment, improving operational output and quickly determining new treatments. Some of the concentrations as part of AI that is today creating impressive effects across diverse healthcare sectors include; machine learning and natural language processing as well as computer vision in medical imaging, clinical support, and operation. The above innovations have viable capacity to offer enhanced value delivery, cost efficiencies, and better organizational performance for the patients. However, there is a considerable cost for adopting AI in the health care system which undoubtedly has the following disadvantages: data protection, algorithms, openness, responsibility. If bioethics AI practitioners do not take time and think through the many consequential ethical concerns related to anatomical artificial intelligence, the viewer’s cannot get an experience that is similar to that of the virtual superintendents. Thus the nature of the interaction will become more important into the future while the interaction will be based on the further evolution of algorithms then introduction of AI in precise medicine, and better receptors for safety and for fairness of the algorithm. Besides applying the explained AI methods, a significant level of IT training of healthcare professionals is also required; also, the patients themselves should be told about the advantages and disadvantages of the employed AI techniques. This review discusses strengths and weaknesses of applying AI processes in health care, problems in this sphere and tendencies of AI’s further development about seeing the integration in health-care systems. The future of applying the AI in international healthcare will therefore call for increased collaboration among researcher, policy makers and clinicians for the implementation to commence.

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