scholarly journals Application of Artificial Intelligence in Modern Healthcare System

Author(s):  
Sudipto Datta ◽  
Ranjit Barua ◽  
Jonali Das
2021 ◽  
pp. 31-52
Author(s):  
Grazia Dicuonzo ◽  
Francesca Donofrio ◽  
Antonio Fusco ◽  
Vittorio Dell’Atti

This paper investigates the digitalization challenges facing the Italian healthcare system. The aim of the paper is to support healthcare organizations as they take advantage of the potential of big data and artificial intelligence (AI) to promote sustainable healthcare systems. Both the development of innovative processes in the management of health care activities and the introduction of healthcare forecasting systems are valuable resources for clinical and care activities and enable a more efficient use of inputs in essential-level care delivery. By examining an innovative project developed by the Regional Social Health Agency (ARSS) of Veneto, this study analyses the impact of big data and AI on the sustainability of a healthcare system. In order to answer the research question, we used a case study methodology. We conducted semi-structured interviews with key members of the organizational group involved in the case. The results show that the implementation of AI algorithms based on big data in healthcare both improves the interpretation and processing of data, and reduces the time frame necessary for clinical processes, having a positive effect on sustainability.


Author(s):  
Mariam Mohamed ◽  
Donald J. Ferguson ◽  
Adith Venugopal ◽  
Mohammad Khursheed Alam ◽  
Laith Makki ◽  
...  

2021 ◽  
Author(s):  
Jacek Lorkowski ◽  
Oliwia Grzegorowska ◽  
Mieczysław Pokorski

Author(s):  
Sheshadri Chatterjee ◽  
Michael S. Dohan

The purpose of the paper is to provide an overview of the issues related to Artificial Intelligence (AI) applications in the Indian healthcare sector and provide input to policy makers. A qualitative approach has been used in this study to identify government initiatives, opportunities and challenges for applications of AI. , and suggests improvements in policy areas relevant to AI in healthcare. The study helps by providing comprehensive inputs for framing policy on AI in healthcare industry in India. The study also highlights that that if the proper actions are taken to overcome the various challenges associated with applications of AI in healthcare sector in India by the government, then the healthcare sector will immensely benefit. This article has taken an attempt to provide inputs concerning to policy initiatives, challenges and recommendations for improving healthcare system of India using different applications of AI.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Reyes-González Juan Pablo ◽  
Díaz-Peregrino Roberto ◽  
Soto-Ulloa Victor ◽  
Galvan-Remigio Isabel ◽  
Castillo Paul ◽  
...  

Abstract In the last decades big data has facilitating and improving our daily duties in the medical research and clinical fields; the strategy to get to this point is understanding how to organize and analyze the data in order to accomplish the final goal that is improving healthcare system, in terms of cost and benefits, quality of life and outcome patient. The main objective of this review is to illustrate the state-of-art of big data in healthcare, its features and architecture. We also would like to demonstrate the different application and principal mechanisms of big data in the latest technologies known as blockchain and artificial intelligence, recognizing their benefits and limitations. Perhaps, medical education and digital anatomy are unexplored fields that might be profitable to investigate as we are proposing. The healthcare system can be revolutionized using these different technologies. Thus, we are explaining the basis of these systems focused to the medical arena in order to encourage medical doctors, nurses, biotechnologies and other healthcare professions to be involved and create a more efficient and efficacy system.


2022 ◽  
Vol 71 (2) ◽  
pp. 2721-2738
Author(s):  
Aitizaz Ali ◽  
Muhammad Fermi Pasha ◽  
Ong Huey Fang ◽  
Jehad Ali ◽  
Mohammed A. AlZain ◽  
...  

Author(s):  
Shakir Karim ◽  
Nitirajsingh Sandu ◽  
Ergun Gide

Artificial Intelligence (AI) is the biggest emerging movement and promise in today’s technology world. Artificial Intelligence (AI) in contrast to Natural (human or animal) Intelligence, is intelligence demonstrated by machines. AI is also called Machine Intelligence, aims to mimic human intelligence by being able to obtain and apply knowledge and skills.  It promises substantial involvements, vast changes, modernizations, and integration with and within people’s ongoing life. It makes the world more demanding and helps to take the prompt and appropriate decisions with real time. This paper provides a main analysis of health industry and health care system in Australian Healthcare that are relevant to the consequences formed by Artificial Intelligence (AI). This paper primarily has used secondary research analysis method to provide a wide-ranging investigation of the positive and negative consequences of health issues relevant to Artificial Intelligence (AI), the architects of those consequences and those overstated by the consequences. The secondary resources are subject to journal articles, reports, academic conference proceedings, media articles, corporation-based documents, blogs and other appropriate information. The study found that Artificial Intelligence (AI) provides useful insights in Australian Healthcare system. It is steadily reducing the cost of Australian Healthcare system and improving patients’ overall outcome in Australian Healthcare. Artificial Intelligence (AI) not only can improve the affairs between public and health enterprises but also make the life better by increasing efficiency and modernization. However, beyond the technology maturity, there are still many challenges to overcome before Australian Healthcare can fully leverage the potential of AI in health care - Ethics being one of the most critical.   Keywords: Artificial Intelligence (AI), Health Industry, Health Care System, Australian Healthcare;


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