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A Comprehensive Survey on the Role of the Medical AI for the Healthcare Support

by Abdelrahman M. Helmi, Sayed A. AbdelGaber, Samah A. Bastawy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 31
Year of Publication: 2023
Authors: Abdelrahman M. Helmi, Sayed A. AbdelGaber, Samah A. Bastawy
10.5120/ijca2023923073

Abdelrahman M. Helmi, Sayed A. AbdelGaber, Samah A. Bastawy . A Comprehensive Survey on the Role of the Medical AI for the Healthcare Support. International Journal of Computer Applications. 185, 31 ( Aug 2023), 30-37. DOI=10.5120/ijca2023923073

@article{ 10.5120/ijca2023923073,
author = { Abdelrahman M. Helmi, Sayed A. AbdelGaber, Samah A. Bastawy },
title = { A Comprehensive Survey on the Role of the Medical AI for the Healthcare Support },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2023 },
volume = { 185 },
number = { 31 },
month = { Aug },
year = { 2023 },
issn = { 0975-8887 },
pages = { 30-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number31/32894-2023923073/ },
doi = { 10.5120/ijca2023923073 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:35.026055+05:30
%A Abdelrahman M. Helmi
%A Sayed A. AbdelGaber
%A Samah A. Bastawy
%T A Comprehensive Survey on the Role of the Medical AI for the Healthcare Support
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 31
%P 30-37
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The COVID-19 pandemic has caused widespread devastation, affected millions of lives and placed immense pressure on healthcare systems worldwide. As the viruses continues to ravage communities, the need for solutions that can support the early diagnosis of diseases and automate critical processes in the healthcare system has become more pressing than ever before. Artificial Intelligence (AI) has emerged as a versatile technology in various industries due to its ability to save time and lives by enabling machines to learn from experience, adapt to new inputs, and perform human-like tasks. In the medical industry, AI has become a crucial tool in developing new applications to combat diseases and save lives. Therefore, researchers have focused on exploring the potential of AI in the fight against diseases and commonly coronavirus. This survey paper presents a comprehensive review of recent AI models and techniques used in virus diagnosis, showcasing the different approaches used in both released and novel solutions depending on different types of inputs, such as images and biomedical data. The paper provides an overview of the models' performance, highlighting their strengths and limitations. The study emphasizes the contributions of previous trials, demonstrating how AI has helped in detecting, tracking, and predicting the spread of viruses. Moreover, the paper highlights the challenges encountered while developing AI models for virus diagnosis, including the limited availability of high-quality data, the need for more diverse datasets, and the ethical challenges related to data privacy and security. The study offers insights to guide future research in developing more accurate and effective models. The paper provides a sensible outlook for the future researchers to develop highly effective models by highlighting the need to address the challenges encountered in previous trials. Finally, the paper concludes by emphasizing the importance of continued research and development in AI-based solutions to combat diseases.

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Index Terms

Computer Science
Information Sciences

Keywords

Medical AI Novel Models Diagnoses Cloud-based AI Inclusion Criteria.

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