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

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

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DOI: https://doi.org/10.58496/MJAIH/2024/004

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

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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

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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

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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

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DOI: https://doi.org/10.58496/MJAIH/2024/008

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

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DOI: https://doi.org/10.58496/MJAIH/2024/005

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

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DOI: https://doi.org/10.58496/MJAIH/2024/006

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

Maad M. Mijwil, Ioannis Adamopoulos , Pramila Pudasaini

16-19

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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

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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

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DOI: https://doi.org/10.58496/MJAIH/2024/007
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