Application of Artificial Intelligence for Diagnosing Tumors in the Female Reproductive System: A Systematic Review

MA Wahed, M Alqaraleh, MS Alzboon… - Multidisciplinar …, 2025 - dialnet.unirioja.es
The diagnosis of tumors in the female reproductive system is crucial for effective treatment
and patient outcomes. The advent of artificial intelligence (AI) has introduced new …

Advancing Medical Image Analysis: The Role of Adaptive Optimization Techniques in Enhancing COVID-19 Detection, Lung Infection, and Tumor Segmentation

A Muhyeeddin, SA Mowafaq, MS Al-Batah, AW Mutaz - LatIA, 2024 - latia.ageditor.uy
Artificial intelligence (AI) holds significant potential to revolutionize healthcare by improving
clinical practices and patient outcomes. This research explores the integration of AI in …

Evaluating AI and Machine Learning Models in Breast Cancer Detection: A Review of Convolutional Neural Networks (CNN) and Global Research Trends

MA Wahed, M Alqaraleh, MS Alzboon, MS Al-Batah - LatIA, 2025 - latia.ageditor.uy
Numerous studies have highlighted the significance of artificial intelligence (AI) in breast
cancer diagnosis. However, systematic reviews of AI applications in this field often lack …

[PDF][PDF] AI Rx: Revolutionizing Healthcare Through Intelligence, Innovation, and Ethics

RC de la Salud… - Seminars in Medical …, 2025 - researchgate.net
The integration of artificial intelligence (AI) in healthcare presents significant promise to
enhance clinical procedures and patient outcomes. This research examines the setting …

[PDF][PDF] Automated quantification of vesicoureteral reflux using machine learning with advancing diagnostic precision

M Alqaraleh, M Al-Batah, MSA EA - Data Metadata, 2025 - researchgate.net
This article uses machine learning to quantify vesicoureteral reflux (VUR). VCUGs in
pediatric urology are used to diagnose VUR. The goal is to increase diagnostic precision …

[PDF][PDF] Comparative Analysis of Advanced Data Mining Methods for Enhancing Medical Diagnosis and Prognosis

M Al-Batah, MS Alzboon… - Data Metadata, 2024 - researchgate.net
Accurate and early diagnosis, coupled with precise prognosis, is critical for improving patient
outcomes in various medical conditions. This paper focuses on leveraging advanced data …

Advanced Machine Learning Models for Real-Time Drone and Bird Differentiation in Aerial Surveillance Systems

M Alqaraleh, MS Alzboon, M Al-Batah… - … Arab Conference on …, 2024 - ieeexplore.ieee.org
A Novel Approach to Distinguishing Drones from Birds in Real Time examines how
advanced machine learning algorithms can improve surveillance system identification …

Innovative Machine Learning Solutions for Automated Kidney Tumor Detection in CT Imaging Through Comparative Analysis

M Alqaraleh, MS Alzboon, M Al-Batah… - … Arab Conference on …, 2024 - ieeexplore.ieee.org
The most common urinary system cancer is kidney cancer, the 7th leading cause of cancers
death in men and women worldwide. The early and prompt diagnosis of renal cancer is very …

From Complexity to Clarity: Improving Microarray Classification with Correlation-Based Feature Selection

M Alqaraleh, MS Alzboon, MS Al Batah, HS Migdadi - LatIA, 2025 - dialnet.unirioja.es
Gene microarray classification is yet a difficult task because of the bigness of the data and
limited number of samples available. Thus, the need for efficient selection of a subset of …

AI-Driven UAV Distinction: Leveraging Advanced Machine Learning

MS Alzboon, M Alqaraleh, MA Wahed… - 2024 7th …, 2024 - ieeexplore.ieee.org
This Article addresses the critical task of distinguishing Unmanned Aerial Vehicles (UAVs)
from birds in flight, a pressing concern for airspace security in both military and civilian …