Artificial Intelligence in Healthcare and Medical Imaging: Role in Fighting the Spread of COVID-19

The research aims to define the need and importance of artificial intelligence in the healthcare sector in general and the medical imaging and radiology procedures in specific. This research is based on numbers and facts taking from other investigations about artificial intelligence in general and the present and studies of the healthcare sector’s current Artificial Intelligence (AI) role. To simplify, the chapter will focus on the AI in healthcare facilities and how it can help solve problems and make the best decisions for the organization and public health by reducing human errors and increasing the perfection of discovering some diseases. Moreover, to achieve the medical providers’ goals that aim to achieve the quality of care, we are going to talk about applying the AI in the radiology department. It’s a role to help the radiologists in better diagnosis and how it could increase the efficiency of the operations by using the database of information gathered by the modern techniques. On the other hand, this article and according to the current global situation will talk about fighting the spread of Coronavirus with the new Medical Imaging technology in general and in Bahrain’s society in specific.

[1]  K. Walsh.  Artificial intelligence and healthcare professional education: superhuman resources for health? , 2019, Postgraduate Medical Journal.

[2]  Sathian Dananjayan,et al.  Artificial Intelligence during a pandemic: The COVID‐19 example , 2020, The International journal of health planning and management.

[3]  S. Sisaye.  The influence of non-governmental organizations (NGOs) on the development of voluntary sustainability accounting reporting rules , 2021 .

[4]  M. Battour,et al.  The Impact of Marketing Ethics on Customer Loyalty: A Conceptual Framework , 2020, International Journal of Business Ethics and Governance.

[5]  S. Nassar.  The Impact of Intellectual Capital on Corporate Performance of IT Companies: Evidence from Bursa Istanbul , 2018, International Journal of Business Ethics and Governance.

[6]  Wiro J. Niessen,et al.  Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare , 2020, Medical Image Analysis.

[7]  P. Newton,et al.  Addressing Multimorbidity and Polypharmacy in Individuals With Atrial Fibrillation , 2018, Current Cardiology Reports.

[8]  Anjum Razzaque,et al.  Artificial Intelligence Based Multinational Corporate Model for EHR Interoperability on an E-Health Platform , 2021 .

[9]  Haipeng Shen,et al.  Artificial intelligence in healthcare: past, present and future , 2017, Stroke and Vascular Neurology.

[10]  Bahaaeddin Alareeni,et al.  The Implementation of Artificial Intelligence in Organizations' Systems: Opportunities and Challenges , 2021, The Importance of New Technologies and Entrepreneurship in Business Development: In The Context of Economic Diversity in Developing Countries.

[11]  Eric Racine,et al.  Healthcare uses of artificial intelligence: Challenges and opportunities for growth , 2019, Healthcare management forum.

[12]  W. Art Chaovalitwongse,et al.  Healthcare Intelligence: Turning Data into Knowledge , 2014, IEEE Intelligent Systems.

[13]  Fighting COVID‐19, a place for artificial intelligence , 2020, Transboundary and emerging diseases.

[14]  Robert M Wachter,et al.  Artificial Intelligence in Health Care: Will the Value Match the Hype? , 2019, JAMA.

[15]  A. Hamdan,et al.  Artificial Intelligence and Coronavirus COVID-19: Applications, Impact and Future Implications , 2021, The Importance of New Technologies and Entrepreneurship in Business Development: In The Context of Economic Diversity in Developing Countries.

[16]  Wajeeh Elali.  The Importance of Strategic Agility to Business Survival During Corona Crisis and Beyond , 2021 .

[17]  A. Tekkeşin.  Artificial Intelligence in Healthcare: Past, Present and Future. , 2019, Anatolian journal of cardiology.

[18]  Z. Alabaddi,et al.  Determinants of private domestic investment in Palestine: time series analysis , 2021, Journal of Business and Socio-economic Development.

[19]  S. Grace,et al.  Exploring healthcare professionals’ understanding and experiences of artificial intelligence technology use in the delivery of healthcare: An integrative review , 2019, Health Informatics J..

[20]  Eliot L. Siegel,et al.  Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging , 2018, Current Cardiology Reports.

[21]  A. Hamdan,et al.  The Contribution of Healthcare Middle Managers as Change Agents in the Era of Covid-19: Critical Review , 2021, The Importance of New Technologies and Entrepreneurship in Business Development: In The Context of Economic Diversity in Developing Countries.

[22]  Isaac S Kohane,et al.  Artificial Intelligence in Healthcare , 2019, Artificial Intelligence and Machine Learning for Business for Non-Engineers.

[23]  G. Alves.  The impact of culture and relational quality in the cooperation between export companies and local distributors , 2018, International Journal of Business Ethics and Governance.

[24]  A. Kaushik,et al.  Digital cardiovascular care in COVID‐19 pandemic: A potential alternative? , 2020, Journal of cardiac surgery.

[25]  S. M. Adnan,et al.  Artificial Intelligence for Public Sector: Chatbots as a Customer Service Representative , 2021, The Importance of New Technologies and Entrepreneurship in Business Development: In The Context of Economic Diversity in Developing Countries.

[26]  Melfi Muhammed Al Azemi,et al.  The Reality of Financial Corruption in Kuwait: A Procedure Research According to Corruption Perception Index & Related Rules , 2019, International Journal of Business Ethics and Governance.

[27]  Mathias Unberath,et al.  Artificial Intelligence‐Based Clinical Decision Support for COVID‐19–Where Art Thou? , 2020, Adv. Intell. Syst..

[28]  Osama F. Al Kurdi.  A critical comparative review of emergency and disaster management in the Arab world , 2021 .

[29]  Allam Hamdan,et al.  The Implementation of Artificial Intelligence in Social Media Marketing and Its Impact on Consumer Behavior: Evidence from Bahrain , 2021 .

[30]  Andrea S Martinez-Vernon,et al.  An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetes , 2018, PloS one.

[31]  Bahaaeddin Alareeni,et al.  Impact of Artificial Intelligence on E-Commerce Development , 2021 .

[32]  Angela Meyer.  Machine-learning based wind turbine operating state detection and diagnosis , 2020 .

[33]  A. Ramaano.  Potential of ecotourism as a mechanism to buoy community livelihoods: the case of Musina Municipality, Limpopo, South Africa , 2021, Journal of Business and Socio-economic Development.

[34]  Chi-Ming Chow,et al.  Automation, machine learning, and artificial intelligence in echocardiography: A brave new world , 2018, Echocardiography.

[35]  Michael E Matheny,et al.  Artificial Intelligence in Health Care: A Report From the National Academy of Medicine. , 2019, JAMA.

[36]  S. Diab,et al.  Does quality of governance contribute to the heterogeneity in happiness levels across MENA countries? , 2021, Journal of Business and Socio-economic Development.

[37]  Eleftherios Trivizakis,et al.  Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays , 2020, Experimental and therapeutic medicine.

[38]  Hameed Al-Taee,et al.  Impact of Health Marketing Mix on Competitive Advantage: The Case of King Hussein Cancer Center , 2020 .

[39]  Ashurov Sharofiddin,et al.  Effect of Applying Total Quality Management in Improving the Performance of Al-Waqf of Albr Societies in Saudi Arabia: A theoretical framework for "Deming's Model" , 2020, International Journal of Business Ethics and Governance.