Artificial intelligence: future impacts, challenges and recommendations on healthcare services (original) (raw)
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The Future of Health and Healthcare in a World of Artificial Intelligence
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.
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.
Artificial Intelligence’s Role in the Healthcare System
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.
Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector
Artificial intelligence (AI) has the potential to make substantial progress toward the goal of making healthcare more personalized, predictive, preventative, and interactive. We believe AI will continue its present path and ultimately become a mature and effective tool for the healthcare sector. Besides this AI-based systems raise concerns regarding data security and privacy. Because health records are important and vulnerable, hackers often target them during data breaches. The absence of standard guidelines for the moral use of AI and ML in healthcare has only served to worsen the situation. There is debate about how far artificial intelligence (AI) may be utilized ethically in healthcare settings since there are no universal guidelines for its use. Therefore, maintaining the confidentiality of medical records is crucial. This study enlightens the possible drawbacks of AI in the implementation of healthcare sector and their solutions to overcome these situations.
Artificial Intelligence and Healthcare Regulatory and Legal Concerns
Telehealth and Medicine Today, 2021
We are in a stage of transition as artificial intelligence (AI) is increasingly being used in healthcare across the world. Transitions offer opportunities compounded with difficulties. It is universally accepted that regulations and the law can never keep up with the exponential growth of technology. This paper discusses liability issues when AI is deployed in healthcare. Ever-changing, futuristic, user friendly, uncomplicated regulatory requirements promoting compliance and adherence are needed. Regulators have to understand that software itself could be a software as a medical device (SaMD). Benefits of AI could be delayed if slow, expensive clinical trials are mandated. Regulations should distinguish between diagnostic errors, malfunction of technology, or errors due to initial use of inaccurate/inappropriate data as training data sets. The sharing of responsibility and accountability when implementation of an AI-based recommendation causes clinical problems is not clear. Legislation is necessary to allow apportionment of damages consequent to malfunction of an AI-enabled system. Product liability is ascribed to defective equipment and medical devices. However, Watson, the AI-enabled supercomputer, is treated as a consulting physician and not categorised as a product. In India, algorithms cannot be patented. There are no specific laws enacted to deal with AI in healthcare. DISHA or the Digital Information Security in Healthcare Act when implemented in India would hopefully cover some issues. Ultimately, the law is interpreted contextually and perceptions could be different among patients, clinicians and the legal system. This communication is to create the necessary awareness among all stakeholders.
Artificial Intelligence in Healthcare: Future Benefits and Challenges
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.
Impact of artificial intelligence on healthcare
Artificial intelligence (AI) is the ability of a machine to detect patterns and relationships in data and use this knowledge effectively for decision-making. 1 AI is currently a driving force in many facets of life and is expected to change medical practices like consultation, examination, and prescription and make them affordable and efficient. Replications of expert judgment and prediction of prognosis using support vector machines, decision trees, artificial neural networks, and machine learning are widely used. Because imaging in diagnosis is at the forefront of the use of AI, screening and prediction techniques are being developed especially for glaucoma, cataracts, age-related macular degeneration, and diabetic retinopathy. 2,3 Improvements in computing and deep learning architectures enabled us to improve cancer detection, classification, drug discovery, and patient treatment outcome predictions. 1 Beyond histopathology pictures, other imaging like CT, MRI, mammography, fundus imaging, and even photographs can be used for diagnosis and prediction of prognosis. 1 Studies have shown that radiology, ophthalmology, cardiology, orthopedics, and pathology AI promise in facilitating diagnosis and management, population-based surveillance, personalized care, reducing the burden of cost and work load, and making predictions that can help policymakers make plans. 4-9 Everyone has the rights to access health services.
REVIEWED ARTICLE- ARTIFICIAL INTELLIGENCE (AI) AND HEALTH CARE
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.
ResearchGate Publication, 2024
In a digital driven world merged with technological intensity prevalent in this era has made the society and the economy to be moving at a very fast pace. This evolving concept has come to stay and improve our lives and work functions beyond the status quo ante. Internet, artificial intelligence and its algorithms are playing a huge role even in the healthcare and insurance industries, improving efficiencies and output.