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2024, Bharati Vidyapeeth Medical Journal
Artificial intelligence (AI) is the buzzword you must be listening to everywhere these days. The discussion doesn't end without mentioning Artificial Intelligence in every conference, research platform, and academic gatherings! While we are still busy debating whether AI is a boon or bane, we must accept that it is the future of Mankind. AI is not going to replace real doctors, but it will replace those who have not adopted AI. AI refers to the ability of computers to perform tasks that typically require human intelligence, such as reasoning,
New Trends in Sustainable Business and Consumption
Nowadays, because of the development and the evolving technologies, artificial intelligence (AI) changed the way healthcare systems function and altered the interactions between medical practitioners and patients. In this context, AI has the potential to revolutionize the healthcare system and is an opportunity to strengthen the doctor-patient relationship by offering accurate information in a reasonable amount of time. After a brief journey of the evolution of defining artificial intelligence, the article first covers the meaning of AI in the healthcare system through a systematic literature review, classifying the essential roles of AI in this system. It continues with the explained grade of involvement of the European Union in this field and its decisions during the COVID-19 pandemic regarding the uptake and upscale of digital health solutions. Lastly, this article emphasizes the necessity of having a unitary approach across the European Union regarding the AI involvement in the healthcare system by suggesting the implementation of a single European platform for medical appointments to adapt to the digital world and facilitate medicine without borders. This article aims to provide an overview of the AI roles in the healthcare system that have been developed and implemented and are playing a much-needed role in improving healthcare services, quality of medical practice, and patient satisfaction regarding the services. The classification underlines the positive aspects of adapting the current healthcare system to the new era and embraces the challenges. Artificial intelligence's roles lead to a better approach to the patient's attitude once they know the benefits of using and accepting artificial intelligence technologies in the medical field.
Journal of Hospital Management and Health Policy
Advanced Pharmaceutical Bulletin, 2020
The healthcare sector is considered to be one of the largest and fast-growing industries in the world. Innovations and novel approaches have always remained the prime aims in order to bring massive development. Before the emergence of technology, all the sectors, including the healthcare sector was dependant dependent on man power, which was time-consuming, and less accurate with lack of efficiency. With the recent advancements in machine learning, the condition is has been steadily revolutionizing. in the practice of the health care industry. Artificial Intelligence intelligence (AI) lies in the computer science department, which stresses on the intelligent machines’ creation, that work and react just like human beings. In simple words, AI is the capability of a computer program to think and learn, almost satisfying natural intelligence. It is the ability of a system to interpret the external data correctly, learn from it and finally use those learnings to execute some particular g...
Studies in Health Technology and Informatics, 2021
The potential value of AI to healthcare, and nursing in particular, ranges from improving quality and efficiency of care to delivering on the promise of personalized and precision medicine. AI systems may become virtually indispensable as ever more data is amassed about every aspect of health. AI can help reduce variability in care, while improving precision, accelerating discovery and reducing disparities. AI can empower patients and potentially allow healthcare professionals to relate to their patients as healers supported by the combined wisdom of the best medical research and analytic technology. There are, however, many challenges to understanding the optimal uses of AI; addressing the technological, systemic, regulatory and attitudinal roadblocks to successful implementation; and integrating AI into the fabric of health care. This paper provides a grounding in the origins and fundamental building blocks of AI, applications in healthcare and for nursing, and the critical challe...
Future Healthcare Journal, 2019
The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.
Artificial Intelligence (AI) is a digital technology that has been creating numerous breakthroughs across a variety of fields such as Gaming, Mathematics, Education, Natural Language Processing, Computer Vision, Robotics, healthcare, and so on. The field being dealt with in this article is healthcare which is still an emerging and if not, the most challenging one. This paper goes through a few breakthroughs of AI in healthcare from an industry and research perspective. Some of the ways how AI is being used across various healthcare domains are explained. The discussion goes on by briefing the future scope of AI and how it can make life simpler and more efficient for the stakeholders. Finally, it wraps up by uncovering ways in which AI for healthcare can still be a challenge to software companies and medical practitioners alike by addressing a few major challenges.
Health and Technology, 2023
Purpose The main purpose of this study was to explore the perspectives of healthcare executives on Artificial Intelligence (AI)'s future applications and the associated benefits, challenges, and ethical considerations. Methods A qualitative study was conducted with 21 healthcare professionals. The participants were interviewed to gather their perceptions of AI and its impact on digital healthcare. The analysis focused on identifying the current applications of AI in healthcare and understanding the participants' perspectives on its potential future applications. The study also aimed to identify the benefits, challenges, and ethical considerations associated with AI implementation in healthcare. Results The study revealed that AI is currently being used in personalized medicine, drug discovery, telemedicine, clinical decision support, medical treatments, and surgery. The participants recognized several benefits of AI implementation, including improved access to healthcare, increased efficiency and productivity, cost savings, and improved diagnostic accuracy. The participants expressed optimism about the future of AI in healthcare, particularly in enhancing patient outcomes through patient monitoring, early prevention detection, and reduced medical errors. However, the study also identified challenges and ethical considerations, such as technical adaptation, loss of managerial control, data privacy, and accountability. Conclusions The findings of this study highlighted the valuable insights provided by healthcare executives regarding the current and future applications of AI in healthcare. The results emphasized the need for addressing regulatory barriers, enhancing data availability, mitigating bias, and ensuring transparency in AI systems. Despite the identified challenges, the study concluded that AI has a significant demand and potential in the healthcare industry for the future.
AJHMS, 2023
Artificial Intelligence (AI) has emerged as a powerful tool in the field of medicine, offering opportunities to enhance healthcare delivery, improve patient outcomes, and optimize resource allocation. This review provides a comprehensive
AI and Society-the encompassing subject of this journal-is probably illustrated (although not exhausted) by interrogations specifically focused on AI in medicine. Justified by spectacular achievements recently facilitated through applied deep learning methodology (based on neural networks), the "Everything is possible" view dominates this new hour in the "boom and bust" curve of AI performance history. The optimistic view collides head on with the "It's not possible," ascertainments often originating in a skewed understanding of both AI and medicine. The meaning of the conflicting views-whose score reality will eventually settle-can be assessed only by addressing the nature of medicine. Specifically, by answering the question: Which part of medicine, if any, can and should be entrusted to AI-now or at some moment in the future? That both medicine and AI will continue to change goes without saying. Medicine is focused on what is needed to maintain life. It is an endeavor within the larger context of social organization of productive activity, of economic and political interaction, of culture. These and the environment, which used to be acknowledged as the dominant factor before the genetics revolution, affect medicine in all its aspects. AI in medicine is the shorthand for the meeting point between a new technology and what healthcare practitioners are or should be. Specifically:-How to identify the specific talent and dedication healthcare demands-How medical education should be conceived and carried out
Minimally Invasive Therapy & Allied Technologies, 2019
DR. Ram Kumar and DR. Anjna Agarwal, Govt. College of Nursing, GSVM Medical College, Kanpur, (U.P.), & Rajasthan University, Jaipur (Raj.), INDIA, 2020
Artificial intelligence touches nearly every part of our day. The main functions of artificial intelligence areto create expert systems and to implement human intelligence in machines. Artificial intelligence has played a significant role in various fields such as gaming, natural language processing, expert systems, vision systems, speech recognition, hand writing recognition and intelligent robots. Artificial intelligence in healthcare can help cut costs of ongoing health operations and impact the quality of care for clients everywhere.AI can also improve client's outcomes by diagnosing diseases early. Artificial intelligence can be helpful in reducing human errors, increasing productivity, making faster decision-making processes, reducing cost of goods and services, excellent handling of repetitive and frequent tasks, excellent handling of low-level tasks, transformation in healthcare for betterment and improves security. Artificial intelligence can have certain disadvantages also such as loss of jobs, risk to humanity, possibility to be wrong, costly to develop, lack of original creativity, difficulty in handling highly intelligent tasks, lack of explanation and loss of skills etc. McCarthy has observed that today's nurses spend time doing low level tasks that can be performed by someone else with different skills. Nurses play an important role in every facet of patient care starting from the cost of health care to the overall patient's experience during hospital stay. Within this spectrum of responsibility lies the prospect for a number of different technologies to use the computing power of Artificial intelligence to assist with quality nursing care.
IEEE Intelligent Systems and their Applications, 1998
Digital Health eJournal, 2023
Artificial Intelligence (AI) is a tool that has the potential to transform every aspect of healthcare, from patient diagnosis and treatment to administrative functions. AI has the ability to help healthcare professionals make more accurate diagnoses, develop personalized treatment plans, improve patient outcomes, and reduce healthcare costs. AI can assist in identifying and mitigating cybersecurity threats, protecting sensitive patient data, and preserving system integrity. As AI becomes an integral part of healthcare delivery, ethical considerations emerge, highlighting the necessity of addressing these issues for a safe, ethical, and effective integration of AI in healthcare. As healthcare increasingly becomes data-driven, the threats to data privacy are on the rise. Developing 'explainable AI' models that can provide insights into their decision-making processes could help to build trust among healthcare providers and patients and facilitate their adoption in healthcare settings. This paper explores the future benefits and challenges of Artificial Intelligence in Healthcare.
International Journal Of Community Medicine And Public Health, 2020
In this report, we review the market impact of artificial intelligence (AI) in healthcare and future predictions. AI is a rapidly advancing technology in healthcare. It provides rich and relevant information to patients and healthcare providers with on-demand medical and clinical confidence, AI can greatly advance healthcare professional and patient communications. Interest and investment in artificial intelligence continues to grow. At the same time there exists some practical challenges that will determine the course of this market trend. We will discuss the macroeconomic, ethical and legal challenges that pertain to this industry and make recommendations to the healthcare executives.
Open access journal of applied science and technology, 2024
The twenty-first century has witnessed significant advancements in informatics, reshaping our understanding of data processing and accessibility. Artificial intelligence (AI), encompassing techniques such as machine learning (ML), deep learning (DP), and neural networks (NN), is poised to revolutionize medicine. AI holds the capability of analyzing vast amounts of data, extracting meaningful insights, and making accurate predictions, thereby empowering industries to make informed decisions, drive innovation, and enhance efficiency. The landscape of medical AI has evolved significantly, demonstrating expert-level disease detection from medical images and promising breakthroughs across various industries. AI revolutionizes medical practice by leveraging advanced algorithms and machine learning capabilities to improve diagnostics, treatment planning, and overall patient care. However, the deployment of medical AI systems in regular clinical practice still needs to be tapped, presenting complex ethical, technical, and human-centered challenges that must be addressed for successful implementation. While AI algorithms have shown efficacy in retrospective medical investigations, their translation into practical medical settings has been limited, raising concerns about their usability and interaction with healthcare professionals. Moreover, the representativeness of retrospective datasets in real-world medical practice is subject to filtering and cleaning biases. Integrating AI into clinical medicine holds great promise for transforming healthcare delivery, improving patient care, and revolutionizing aspects such as diagnosis, treatment planning, drug discovery, personalized treatment, and medical imaging. With advanced algorithms and machine learning capabilities, AI and robotics in Healthcare can analyze large volumes of medical data, extract meaningful insights, and provide accurate predictions, empowering healthcare professionals to make informed decisions and optimize resource allocation. The availability of extensive clinical, genomics, and digital imaging data, coupled with investments from healthcare institutions and technology giants, underscores the potential of AI in healthcare. This review article explores AI's powerful potential to revolutionize healthcare delivery across multiple domains, emphasizing the need to overcome challenges and harness its transformative capabilities in clinical practice.
IIP Series, 2024
In the dynamic intersection of Artificial Intelligence (AI) and medicine, the question of AI's role as a boon or bane unfolds. AI's omnipresence in daily medical practices, from record-keeping to drug discovery, is explored, portraying it as a transformative force in healthcare. The narrative navigates through the historical evolution of AI in medicine, spotlighting its pivotal role in diagnoses, treatment decisions, and outcomes predictions. However, the tale takes a nuanced turn, shedding light on the environmental impact, high costs, ethical concerns, potential unemployment, and the risk of AI-induced laziness and emotionlessness. Yet, amidst these challenges, the narrative accentuates AI's symbiotic relationship with human doctors, particularly in surgical devices and diagnostics. The conclusion urges an increased focus on controlled programs and research studies to unravel AI's full potential in medicine. As the twenty-first century unfolds, the intricate dance between man and machine in healthcare continues to shape the narrative of medical progress
Therapies, 2018
HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Distributed under a Creative Commons Attribution-NonCommercial| 4.0 International License
Iris Publishers LLC, 2018
Artificial Intelligence (AI) consists a set of computational technologies that designed to sense, learn, reason, and take action. AI has already been integrated in many applications including automating the business processes, gaining insight through data analysis, and engaging with customers and employees. AI enabled machines using deep learning algorithms has been shown to exceed human performance, particularly in visual tasks like playing Atari games, strategic board games like Go and object recognition etc. Furthermore, with the technological advancement in mobile computing, artificial neural networks, robotics, storage of huge data in internet, cloud-based machine learning and information processing algorithms etc. application of AI has been integrated in many sectors including transportation, service robots, health care, education, low-resource communities, public safety and security, employment and workplace, and entertainment etc. In this review, we have highlighted the recent trends and applications of AI in healthcare i.e. mining medical records (EHR), designing treatment plans, robotics mediated surgeries, medical management and supporting hospital operations etc. There are many AI platform has been designed which has also been proved to be instrumental in the development of innovative drugs. There is no doubt that AI will enhance the cooperation between humans and machines in years to come and will play an integral role in the improvement of the health index and quality of life.
Medical Journal of Australia, 2020
International Journal of Engineering Materials and Manufacture
Artificial intelligence (AI) is the ability of a computer program or machine to think or learn that possess human-like intelligence. These computing devices use this intelligence to provide services such as speech recognition, natural language processing and identifying disease in healthcare. To work efficiently, AI requires adequate data that is used to train systems. The efficiency of any AI system depends on the availability of this data. This article is mainly focused on recent advents in the technology of Artificial Intelligence. The importance of AI in healthcare is identified and described in this report. The applications of Artificial Intelligence in healthcare such as clinical care, medical research, drug research and public healthcare are briefly discussed here. The purpose of this article is to demonstrate that artificial intelligence is being used in all domains of life and particularly in the field of healthcare. This report presents the role of Artificial Intelligenc...
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