scholarly journals A review on role of nitrous oxide nanoparticles, potential vaccine targets, drug, health care and artificial intelligence to combat COVID-19

Author(s):  
S. Manigandan ◽  
T. R. Praveenkumar ◽  
Kathirvel Brindhadevi
2019 ◽  
Vol 162 (1) ◽  
pp. 38-39
Author(s):  
Alexandra M. Arambula ◽  
Andrés M. Bur

Artificial intelligence (AI) is quickly expanding within the sphere of health care, offering the potential to enhance the efficiency of care delivery, diminish costs, and reduce diagnostic and therapeutic errors. As the field of otolaryngology also explores use of AI technology in patient care, a number of ethical questions warrant attention prior to widespread implementation of AI. This commentary poses many of these ethical questions for consideration by the otolaryngologist specifically, using the 4 pillars of medical ethics—autonomy, beneficence, nonmaleficence, and justice—as a framework and advocating both for the assistive role of AI in health care and for the shared decision-making, empathic approach to patient care.


2021 ◽  
Vol 07 (3&4) ◽  
pp. 7-14
Author(s):  
Devnath Jayaswal ◽  

Health Care is one of the major domain sectors of our country. As this domain has many different aspect of implementation, as per the current scenario of Diseases and health complications. This paper will discuss about how, the Artificial Intelligence (A.I.) and robotics can be beneficial and plays a major role on, health care domain with respect to the Efficiently Diagnose, Developing New Medicines, Earlier Detection of Diseases, Advance Treatment Care, A.I-Deep learning For the Critical Decision’s. As this Information will help to give more clarity on what, A.I. & Robotics contributes for the major Diseases Treatment by the advancement of Technology. This can be beneficial for not only Doctors, Patients, or Firm but can also be helpful for citizen people as well. The objective of this paper is to study the role of AI and Robotics in Healthcare Sector and its impact.


2020 ◽  
Vol 1 (1) ◽  
pp. 130
Author(s):  
Iris-Panagiota Efthymiou ◽  
Symeon Sidiropoulos ◽  
Dimitrios Kritas ◽  
Paraskevi Rapti ◽  
Athanassios Vozikis ◽  
...  

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 also discusses, the value of artificial intelligence in various healthcare sectors' transformation.


2019 ◽  
Vol 28 (01) ◽  
pp. 035-040 ◽  
Author(s):  
Craig Kuziemsky ◽  
Anthony J. Maeder ◽  
Oommen John ◽  
Shashi B. Gogia ◽  
Arindam Basu ◽  
...  

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: Examples of the role of Artificial Intelligence in delivery of health care remotely include use of tele-assessment, tele-diagnosis, tele-interactions, and tele-monitoring. Further developments of underlying algorithms and validation of methods will be required for wider adoption. Certain key social and ethical considerations also need consideration more generally in the health system, as Artificial-Intelligence-enabled-telehealth becomes more commonplace.


2019 ◽  
Vol 2019 (4) ◽  
pp. 72-76
Author(s):  
Татьяна Полинская ◽  
Tat'yana Polinskaya ◽  
Михаил Шишов ◽  
Mihail Shishov

The article discusses possible ways to optimize the implementation of control and supervision in the area of health care, with the use of artificial intelligence for processing large data resulting from electronic interaction between medical organizations, pharmacies, doctors and patients.


2019 ◽  
Vol 101-B (12) ◽  
pp. 1476-1478 ◽  
Author(s):  
Lee Bayliss ◽  
Luke D. Jones

This annotation briefly reviews the history of artificial intelligence and machine learning in health care and orthopaedics, and considers the role it will have in the future, particularly with reference to statistical analyses involving large datasets. Cite this article: Bone Joint J 2019;101-B:1476–1478


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