The Mesopotamian Journal of AI in Healthcare (MJAIH) is an open-access, peer-reviewed journal focused on AI's role in healthcare. It publishes original research, reviews, and case studies covering AI in diagnostics, drug discovery, medical imaging, clinical decision support, and ethical considerations. With a rigorous review process, it aims to advance AI in healthcare, serving as a valuable resource for researchers, clinicians, and policymakers

Current Issue

Vol. 2024 (2024)

Published: 2024-01-08

Articles

Digital Physicians: Unleashing Artificial Intelligence in Transforming Healthcare and Exploring the Future of Modern Approaches

Ban Salman Shukur, Mohd Khanapi Abd Ghani, Burhanuddin bin Mohd Aboobaider

28-34

PDF PDF Views 272 views
DOI: https://doi.org/10.58496/MJAIH/2024/005

IoT Revolutionizes Humidity Measurement and Management in Smart Cities to Enhance Health and Wellness

Pushan Kumar Dutta, Bhupinder Singh, Al-Sayed K. Towfeek, Jovanna Pantelis Adamopoulou, Antonis Nikos Bardavouras, Wilson Bamwerinde, Benson Turyasingura, Natal Ayiga

110-117

PDF PDF Views 299 views
DOI: https://doi.org/10.58496/MJAIH/2024/013

Evaluating if Ghana's Health Institutions and Facilities Act 2011 (Act 829) Sufficiently Addresses Medical Negligence Risks from Integration of Artificial Intelligence Systems

George Benneh Mensah, Pushan Kumar Dutta

35-41

PDF PDF Views 348 views
DOI: https://doi.org/10.58496/MJAIH/2024/006

Assigning Medical Professionals: ChatGPT's Contributions to Medical Education and Health Prediction

Maad M. Mijwil, Mostafa Abotaleb, Guma Ali, Klodian Dhoska

76-83

PDF PDF Views 227 views
DOI: https://doi.org/10.58496/MJAIH/2024/011

Machine learning Helps in Quickly Diagnosis Cases of "New Corona"

Maad M. Mijwil, Ioannis Adamopoulos , Pramila Pudasaini

16-19

PDF PDF Views 300 views
DOI: https://doi.org/10.58496/MJAIH/2024/003

DARKNET-53 Convolutional Neural Network-Based Image Processing for Breast Cancer Detection

R. Rajkumar, S. Gopalakrishnan, K. Praveena, M. Venkatesan, K. Ramamoorthy, J. Jasmine Hephzipah

59-68

PDF PDF Views 242 views
DOI: https://doi.org/10.58496/MJAIH/2024/009

Exploring Deep Learning Methods Used in the Medical Device Sector

Fredrick Kayusi, Benson Turyasingura, Petros Chavula, Orucho Justine Amadi

42-49

PDF PDF Views 175 views
DOI: https://doi.org/10.58496/MJAIH/2024/007

Examining Ghana's Health Professions Regulatory Bodies Act, 2013 (Act 857) To Determine Its Adequacy in Governing the Use of Artificial Intelligence in Healthcare Delivery and Medical Negligence Issues

George Benneh Mensah

20-27

PDF PDF Views 305 views
DOI: https://doi.org/10.58496/MJAIH/2024/004

Covid-19 Diagnosis using Deep Learning Approaches: A Systematic Review

Tarza Hasan Abdullah, Berivan Hasan Abdullah

84-109

PDF PDF Views 92 views
DOI: https://doi.org/10.58496/MJAIH/2024/012

Evaluating ChatGPT performance in Arabic dialects: A comparative study showing defects in responding to Jordanian and Tunisian general health prompts

Malik Sallam, Dhia Mousa

1-7

PDF PDF Views 872 views
DOI: https://doi.org/10.58496/MJAIH/2024/001

Benchmarking Generative AI: A Call for Establishing a Comprehensive Framework and a Generative AIQ Test

Malik Sallam, Roaa Khalil, Mohammed Sallam

69-75

PDF PDF Views 817 views
DOI: https://doi.org/10.58496/MJAIH/2024/010

Measuring the Effectiveness of AI Tools in Clinical Research and Writing: A Case Study in Healthcare

Sani Salisu, Osamah Mohammed Alyasiri, Hussain A. Younis, Thaeer Mueen Sahib, Ahmed Hussein Ali, Ameen A Noor, Israa M. Hayder

8-15

PDF PDF Views 534 views
DOI: https://doi.org/10.58496/MJAIH/2024/002

Machine learning based Lung Disease Prediction Using Convolutional Neural Network Algorithm

M.Sahaya Sheela, G. Amirthayogam, J. Jasmine Hephzipah, S. Gopalakrishnan, S.Ravi Chand

50-58

PDF PDF Views 233 views
DOI: https://doi.org/10.58496/MJAIH/2024/008
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