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. 2025 (2025)

In Progress

Published: 2025-01-10

Articles

Utilizing Graph Theory Algorithms for the Modeling and Analysis of COVID-19 Infection Dynamics

Ioannis Adamopoulos , Antonios Valamontes , Niki Syrou , Jovanna Adamopoulou , Antonios Bardavouras

1-11

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DOI: https://doi.org/10.58496/MJAIH/2025/001

A Systematic Review of Artificial Intelligence's Function in the Diagnosis of Lung Cancer (2018–2024)

Rokan Hazim Hamad

12-25

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DOI: https://doi.org/10.58496/MJAIH/2025/002

Parkinson's Disease Detection Using Deep learning approach based on Wearable Sensor-Based Daily Monitoring

Bahaulddin N. Adday, Khalid Shaker , Ihsan Salman , Hothefa Shaker

26-38

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DOI: https://doi.org/10.58496/MJAIH/2025/003

Models of Machine Learning to Diagnose Chronic Kidney disease using a  WEKA-based Classifier

Shaymaa Adnan Abdulrahman , Sameerah Faris Khlebis

39-47

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DOI: https://doi.org/10.58496/MJAIH/2025/005

Optimizing Hospital Operational Efficiency Using AI: A Multi-Objective NSGA-II Model for Real-World Medical Data in Syria

Khder Alakkari, Bushra Ali, Teba Majed Hameed

48-57

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DOI: https://doi.org/10.58496/MJAIH/2025/006

Artificial Intelligence-Powered Robotic Technology for Transforming Palliative Care

Adebo Thomas, Asiku Denis, Wamusi Robert, Simon Peter Kabiito, Zaward Morish, Aziku Samuel, Malik Sallam, Ioannis Adamopoulos

58-84

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DOI: https://doi.org/10.58496/MJAIH/2025/007

The Role of Artificial Intelligence in Early Tumor Detection: An XGBoost Risk Assessment Model for Egyptian Patients

Toufik MZILI, Mourad Mzili, Saif Islam Bouderba, Ahmed Abatal, Widi Aribowo, Zahra Oughannou

85-92

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DOI: https://doi.org/10.58496/MJAIH/2025/008

Leveraging Artificial Intelligence to Enhance Nursing Workflow in Endoscopy Units

Ribwar Arsalan Mohammed, Sirwan Khalid Ahmed, Abdulqadir J. Nashwan

93-95

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DOI: https://doi.org/10.58496/MJAIH/2025/009

Heartbeat Sound Classification Using Mel-Spectrogram and CNN Optimized by Frilled Lizard Algorithm for Cardiovascular Disease Detection

Ahmed T. Alhasani, Zainab H. Albakaa, Shahad A. Alabidi, Osamah Qasim Abd Zaid Gburi, Ammar Kadi , Irina Potoroko

96-104

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DOI: https://doi.org/10.58496/MJAIH/2025/010

Clinical Data Analysis Using Machine Learning Algorithms to Predict the Progression of Type 2 Diabetes

Niki Syrou, George Mpourazanis, Panagiotis Tsirkas , Antonios Valamontes, Jovanna Adamopoulou

105-115

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DOI: https://doi.org/10.58496/MJAIH/2025/011

An Artificial Intelligence Model for Predicting Hospital Readmission Using Electronic Health Records Data

Rezarta Cara, Klodian Dhoska, Fjona Cara, Fredrick Kayusi , Linety Juma

116-123

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DOI: https://doi.org/10.58496/MJAIH/2025/012

Optimizing Decision Tree Classifiers for Healthcare Predictions: A Comparative Analysis of Model Depth, Pruning, and Performance

Hussein Alkattan, Ali Subhi Alhumaima , Mohammed Shakir Mohmood, Ghassan Dhahir Mohammed AL-Thabhawee

124-135

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DOI: https://doi.org/10.58496/MJAIH/2025/013

Meta-Learning Approaches for Causal Discovery in Dynamic Healthcare and Robotics Environments

Hayder Abbood MD FACP

136-153

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DOI: https://doi.org/10.58496/MJAIH/2025/014
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