Journal Section

Progress on Multidisciplinary Scientific Research and Innovation

Open Access
Cite Score: 0.4 Impact Factor: 0.6
Artificial Intelligence Based Healthcare: Applications, Challenges, and Future Directions
Author's Details

Name: Tahmina Akther

Email: takther9478@monroeu.edu

Department: Department of Business Management

Affiliation Number: 1

Address: 1201 North Third Street Suite 7-300. Baton Rouge, LA 70802

Affiliations

1 Department of Business Management, Monroe University, 1201 North Third Street Suite 7-300. Baton Rouge, LA 70802

2 Department of Mathematics, University of Texas at Dallas, Irvine, CA 92614, USA

3 Department of Business Administration, International American University, Los Angeles, CA 90010, USA

4 Institute of Social Welfare and Research, University of Dhaka, Shahbag, Dhaka 1205, Bangladesh

5 Department of Occupational and Environmental Health, Bangladesh University of Health Science, 125, Technical Mor, 1 Darus Salam Rd, Dhaka 1216

6 Department of Information Security, ITMO University, Kronverkskiy Prospekt, 49, St Petersburg, Russia, 197101

7 Department of Electrical & Electronic Engineering, Mymensingh Engineering College, Mymensingh-2208, Bangladesh

Abstract
Healthcare services are being transformed by AI, IoT, big data analytics, blockchain, and cloud computing, transforming the medical model from disease-centered to patient-centered care. AI enables doctors to make more accurate diagnoses, health administrators to locate electronic health records faster, and patients to receive timely, personalized treatments. Healthcare 5.0, a comprehensive transformation, focuses on personalization and customer-centered care, aiming for lifelong partnership, customer well-being, and quality of life. However, security challenges such as managing large data volumes, lack of standards, data security threats, and regulatory difficulties persist. A robust security framework is needed to secure the data of Healthcare 5.0, facilitating authentication, access control, key management, and intrusion detection. This review article proposes the design of a secure generalized healthcare 5.0 framework, detailing various applications, security requirements, threat models, existing security mechanisms, and future research directions for researchers working in this domain.

Keywords: 

AI-based Healthcare, Healthcare 5.0, IoT for Healthcare, Healthcare 4.0, Artificial Intelligence

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This article is Open Access CC BY-NC
Article Information
Article Type
Research Paper
Submitted
01 July, 2024
Revised
26 July, 2024
Accepted
10 August, 2024
Online First
18 August, 2024
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