Deployment of Artificial Intelligence in Neurocritical Care

Yearbook of Medical Informatics

Objectives: This paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain. These methods are focussed on clinical needs and provide some insight to current directions, based on reports of recent advances. Methods: Examples of telehealth innovations involving Artificial Intelligence to support or supplement remote health care delivery were identified from recent literature by the authors, on the basis of expert knowledge. Observations from the examples were synthesized to yield an overview of contemporary directions for the perceived role of Artificial Intelligence in telehealth. Results: Two major focus areas for related contemporary directions were established. These were first, quality improvement for existing clinical practice and service delivery, and second, the development and support of new models of care. Case studies from each focus area have been chosen for illustration purposes. Conclusion: Exam...

Zenodo (CERN European Organization for Nuclear Research), 2023

Integrating Artificial Intelligence into Telemedicine for Management of Renal Diseases 2-Integrating Artificial Intelligence into Telemedicine for Management of Neurological Diseases 3-Integrating Artificial Intelligence into Telemedicine for Management of Gastrointestinal Diseases 4-Integrating Artificial Intelligence into Telemedicine for Management of Cardiac Diseases 5-Integrating Artificial Intelligence into Telemedicine for Management of Dermatological Diseases 6-Integrating Artificial Intelligence into Telemedicine for Management of Ophthalmological Diseases 7-Integrating Artificial Intelligence into Telemedicine for Management of Oral Diseases 8-Integrating Artificial Intelligence into Telemedicine for Management of ENT Diseases 9-Integrating Artificial Intelligence into Telemedicine for Management of Orthopedic Diseases 10-Integrating Artificial Intelligence into Telemedicine for Management of Other Diseases

With the growth and popularity of the utilization of artificial intelligence (AI) in several fields and industries, studies in the field of medicine have begun to implement its capabilities in handling and analyzing data to telemedicine. With the challenges in the implementation of telemedicine, there has been a need to expand its capabilities and improve procedures to be specialized to solve specific problems. The versatility and flexibility of both AI and telemedicine gave the endless possibilities for development and these can be seen in the literature reviewed in this paper. The trends in the development of the utilization of this technology can be classified in to four: patient monitoring, healthcare information technology, intelligent assistance diagnosis, and information analysis collaboration. Each trend will be discussed and presented with examples of recent literature and the problems they aim to address. Related references will also be tabulated and categorized to see the future and potential of this current trend in telemedicine.

Computers

Despite the growing interest in possible applications of computer science and artificial intelligence (AI) in the field of neurocritical care (neuro-ICU), widespread clinical applications are still missing. In neuro-ICU, the collection and analysis in real time of large datasets can play a crucial role in advancing this medical field and improving personalized patient care. For example, AI algorithms can detect subtle changes in brain activity or vital signs, alerting clinicians to potentially life-threatening conditions and facilitating rapid intervention. Consequently, data-driven AI and predictive analytics can greatly enhance medical decision making, diagnosis, and treatment, ultimately leading to better outcomes for patients. Nevertheless, there is a significant disparity between the current capabilities of AI systems and the potential benefits and applications that could be achieved with more advanced AI technologies. This gap is usually indicated as the AI chasm. In this pape...

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.

Therapies, 2018

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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.

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.

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