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Journal of Personalized Medicine
Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses on the following key aspects: (i) medical imaging and diagnostics, (ii) virtual patient care, (iii) medical research and drug discovery, (iv) patient engagement and compliance, (v) rehabilitation, and (vi) other administrative applications. The impact of AI is observed in detecting clinical conditions in medical imaging and diagnostic services, controlling the outbreak of coronavirus disease 2019 (COVID-19) with early diagnosis, providing virtual patient care using AI-powered tools, managing electronic health records, augmenting patient engagement and compliance with the treatment plan, reducing the administrative workload of healthcare professionals (HCPs), discovering new drugs and vaccines, spotting medical prescription errors, extensive data storage and analysis, and technology-assisted rehabilitation. Never...
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 Propulsion Technology, 2023
The field of medicine has been revolutionised by uses of artificial intelligence (AI). Based on a review of the existing literature, this investigation delves deeper into the significance of artificial intelligence in healthcare, examining its impact in six key areas: There are many different kinds of administration software used in the healthcare industry, including (i) imaging and diagnostics, (ii) online patient care, (iii) medical research and drug discovery, (iv) patient engagement and compliance, (v) rehabilitation, and (vi) other applications. The early diagnosis and containment of a coronavirus disease 2019 (COVID-19) outbreak, the provision of virtual patient care utilising AI-powered tools, the management of electronic health records, the improvement of patient engagement and compliance with the treatment plan, and the reduction of health care administrators' administrative workload are just a few examples of how artificial intelligence has made a significant impact on the healthcare industry. However, the scientific method includes AI into medical practise while simultaneously addressing a wide range of difficult logistical, moral, and sociological concerns.
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...
International Journal of Advances in Medicine , 2023
Artificial intelligence (AI) is revolutionizing various medical practices, making them more affordable, efficient, and faster. Its uses range from diagnosis, management, monitoring, and outcome forecasting to individualized care. AI technology in psychotherapy can help conditions such as dementia, autism spectrum disorder, and schizophrenia, and due to its image processing, segmentation, and reconstruction capabilities, AI has found applications in a wide range of fields, including the diagnosis of cancer, the treatment of skin lesions, the prediction of metastasis of malignancies, the staging of lung nodules, the identification of COVID-19, and the classification of thyroid tissue. In addition to histopathology images, imaging techniques such as CT, MRI, mammography, fundus imaging, and even photographs can be used to diagnose patients. In this study, we tried to address the current status and future scope of AI to bring substantial upliftment to health care. It is anticipated that human intelligence and AI will coexist in the field of medicine in the future. Modern smart devices collect a huge amount of data that can be used for disease prevention, health promotion, monitoring, and diagnosis in medicine. AI will improve as long as we train them. With the development of sophisticated machinery, robotics, and virtual reality, the healthcare industry is likely to undergo revolutionary changes. AI has performance on par with that of human experts, with the added benefits of scalability and automation. Before becoming fully autonomous in nature, AI systems might need tight supervision due to their lack of training, limited knowledge, and limited flexibility in clinical settings.
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.
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...
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.
F1000Research, 2020
Background:Artificial Intelligence (AI) is already in use in many fields of healthcare, and utilization of AI in state-of-the art healthcare services is growing, with many studies showing that AI can provide benefits in healthcare processes. However, there is a need for research about healthcare professionals’ willingness to use AI-based services, and their consideration about in which cases AI could provide better healthcare outcomes and reduce healthcare professionals’ workload.Methods:We studied the latest technologies and methods from current healthcare AI services’ end-users to create a survey on healthcare services, including use cases that could be beneficial for healthcare professionals. We focused on studying Information and Communication Technology (ICT) applications and services which utilize modern AI features. The purpose of our survey for healthcare professionals was to provide an analysis of the healthcare services that utilize AI features, which could provide better...
Journal of Medical and Health Studies
The COVID-19 pandemic has expedited the adoption of artificial intelligence (AI) in the healthcare industry. The need for rapid diagnosis and treatment, as well as the demand for remote care and monitoring, has led to an increased focus on AI solutions that can improve healthcare delivery and patient outcomes. AI-powered technologies such as predictive analytics, natural language processing, and computer vision have been deployed to support screening and diagnosis, drug discovery, and vaccine development. Additionally, AI-powered chatbots and virtual assistants have been used to triage patients and provide remote care. While the adoption of AI in healthcare has brought tremendous benefits, there are still challenges to be addressed. This paper will explore the adoption, benefits, and challenges of AI in the healthcare industry, shedding light on the prowess of AI in revolutionizing healthcare while also underscoring the need for careful implementation and ethical considerations. Thi...
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.
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.
Journal of Hospital Management and Health Policy
HAPSc Policy Briefs Series
The dawn of artificial intelligence (AI) as a platform for improved health care provides unparalleled opportunity to enhance patient and clinical team performance, minimize costs, and reduce the health effects of the community. It provides a broad description of the legal and legislative context of the AI tools intended for the implementation of health care; highlights the need for equality, accessibility, the need for a human rights goal for the work; and identifies important factors for further advancement. AI framework describes the obstacles, drawbacks, and best practices for AI development, adoption, and management. It brings in a paradigm shift to healthcare, driven by rising clinical data access and rapid advancement in analytical techniques. Artificial Intelligence (AI) is going to revolutionize the practice of medicine and change the delivery of healthcare. This paper discusses the role of artificial intelligence in the advancement of health care and associated fields. It a...
IJTRS Apr, 2023
The COVID-19 outbreak served as a stark reminder that the global community is not fully prepared for pandemics. In order to effectively deal with potential future health risks, such as diseases that might be more lethal and widespread than COVID-19, strong and adaptable health systems will need to be built. The provision of relief by the government in the form of aid for healthcare and contingency planning becomes a source of delight in light of the insights gained from the present predicament. The advancement of general healthcare as well as the identification and control of epidemics might benefit significantly from the use of AI. The use of artificial intelligence (AI) in healthcare has expanded more rapidly in recent years as a direct result of the pandemic; yet, there are still a great number of challenging issues that need to be handled before the approaches can be used in real-world contexts. It is imperative that the World Health Organization's Department of Health Research and Technology, which is in charge of digitizing COVID-19, be established in order to provide assistance to nations whose levels of digital development differ greatly. The World Health Organization (WHO) is dedicated to assisting nations in the use of these cutting-edge technologies in order to improve the ability of health systems to respond to outbreaks and prevent future ones.
Deleted Journal, 2024
In recent years, the integration of artificial intelligence (AI) in healthcare has led to numerous groundbreaking applications that have transformed various aspects of medical practice. One of the primary areas where AI has made substantial contributions is in medical imaging analysis. By leveraging machine learning algorithms, AI systems can assist radiologists in interpreting medical images with greater accuracy and efficiency. AI-driven tools can detect subtle abnormalities, aid in early disease detection, and facilitate more precise diagnosis and treatment planning. Predictive analytics is another key application of AI in healthcare, wherein algorithms analyze vast amounts of patient data to forecast potential health outcomes and identify individuals at high risk of developing certain conditions. Additionally, the rise of virtual health assistants powered by AI has revolutionized patient care delivery by providing personalized and accessible healthcare services. These virtual assistants, often in the form of chatbots or voice-enabled interfaces, can interact with patients, answer medical queries, schedule appointments, and even provide medication reminders. Overall, the various applications of AI in healthcare, including medical imaging analysis, predictive analytics, personalized medicine, and virtual health assistants, have demonstrated significant potential in improving diagnostic accuracy, optimizing treatment plans, and enhancing patient care delivery. As these technologies continue to evolve and mature, they have the potential to revolutionize healthcare delivery and contribute to better health outcomes for individuals worldwide. This research paper contributes to the ongoing discourse surrounding the integration of AI in healthcare by providing a comprehensive overview of its advancements, challenges, and ethical considerations.
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.
Journal of Education, Health and Sport
Introduction and purpose: Modern medical knowledge has grown to a vastness incomprehensible for a single health professional to learn and accommodate. The usage of modern information technologies comes to help, one of them being artificial intelligence, a branch of computer science aimed at developing solutions to perform tasks similar to the human brain, but more efficient and complex, without actual human intervention. The goal of this review is to provide reader with the knowledge how artificial intelligence is applied in various branches of medicine. Brief description of the state of knowledge: In the fields of infectious diseases, including COVID-19 diagnostics, radiology, dermatology and surgery, works lean toward the statement, which suspect application of AI is beneficial for medical practitioners. Programs help to develop statistical models for virus spreading and the creation of antiviral solutions. The radiological application involves the analysis of images to aid radio...
International Journal of Innovative Research in Computer Science and Technology (IJIRCST) , 2024
AI showcases an ocean of opportunities to health care, enhancing a variety of common medical practices–from identifying the best treatment plans for patients suffering with critical illnesses to diagnosing ailments. Artificial Intelligence can help foretell health trajectories, self-operate administrative tasks and entrust the treatments. This research article will discuss emerging and current AI tools present for accelerating patient care and their possible benefits, challenges associated with the use of these tools and policy options to address challenges or improve benefits of the use of these tools. Recent breakthroughs in the application of Artificial Intelligence in healthcare has been outlined. The probable direction of AI augmented healthcare system in future has also been discussed.
SSRN Electronic Journal, 2019
To an extent as never before in the history of medicine, computers are supporting human input, decision making and provision of data. In today' s healthcare sector and medical profession, AI, algorithms, robotics and big data are used to derive inferences for monitoring large-scale medical trends, detecting and measuring individual risks and chances based on data-driven estimations. A knowledge-intensive industry like the healthcare profession highly depends on data and analytics to improve therapies and practices. In recent years, there has been tremendous growth in the range of medical information collected, including clinical, genetic, behavioral and environmental data. Every day, healthcare professionals, biomedical researchers and patients produce vast amounts of data from an array of devices. These include electronic health records (EHRs), genome sequencing machines, high-resolution medical imaging, smartphone applications and ubiquitous sensing, as well as Internet of Things (IoT) devices that monitor patient health (OECD 2015). Through machine learning algorithms and unprecedented data storage and computational power, AI technologies have most advanced abilities to gain information, process it *The following article is based on a study initiated and curated by Dr. Dieter Feierabend at NEOS Lab and executed by Julia M. Puaschunder during Summer and Fall of 2019. Funding of the European Liberal Forum at the European Parliament is most gratefully acknowledged.
Austin Journal of Biomedical Engineering, 2024
The emergence of artificial intelligence within healthcare industry holds much promise. Artificial Intelligence in healthcare helps to enhance patient diagnoses, improve prevention and treatment, increase cost-efficiency, and serve as a way to provide equitable access and treatment for all. We performed a narrative review to describe existing literature with regard to role of artificial intelligence in the healthcare industry. This review gathered the contemporary information throughout PubMed, Scopus, and Science Direct databases regarding the role of artificial intelligence in the healthcare industry. This review study highlighted the current opportunities and challenges in the use of artificial intelligence in the healthcare industry. We found that most studies indicate the potential of artificial intelligence to assist healthcare professionals in their duties, and improve medication precision, enhance decision-making and teamwork. In addition, the study revealed that artificial intelligence has proven beneficial in medical imaging, diagnosis and treatment, virtual health assistance, drug development, and medical research. However, accessing and utilizing patient data is a challenge due to privacy concerns. On the positive side, artificial intelligence presents several opportunities in healthcare industry, including improved patient monitoring, managing patient data, predictive medicine; improved teamwork and decision-making, improved patient engagement and compliance; rehabilitation; and administrative applications. Ethical issues, such as data privacy and bias, are among the most significant challenges we found when using artificial intelligence in healthcare industry. Ensuring the protection of patient data and avoiding the perpetuation of social biases is crucial for the responsible and equitable implementation of artificial intelligence in healthcare industry.
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