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

Vol. 2024 (2024)

Published: 2024-01-08

An optimized Framework for kidney disease Detection and Prediction Using DL Techniques

El-Sayed M. El-Kenawy, Marwa M. Eid, Ahmed M. Elshewey, Ahmed M. Osman

118-127

DOI: https://doi.org/10.58496/MJAIH/2024/014
DOI: https://doi.org/10.58496/MJAIH/2024/004
DOI: https://doi.org/10.58496/MJAIH/2024/012
DOI: https://doi.org/10.58496/MJAIH/2024/001
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

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

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

DOI: https://doi.org/10.58496/MJAIH/2024/013
DOI: https://doi.org/10.58496/MJAIH/2024/006
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

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

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

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