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Al-Mustaqbal Center for Artificial Intelligence Applications

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20 November 2024

Population Census: The Beginning of Iraq's Digital Transformation By: Prof. Dr. Nidal Khudair Al-Abbadi

Population Census: The Beginning of Iraq's Digital Transformation By: Prof. Dr. Nidal Khudair Al-Abbadi Introduction: The population census is the foundation upon which many government policies are built worldwide. In developed countries, population data is collected through constantly updated digital systems, making societal planning and development more efficient. In Iraq, despite the significance of the census in economic and social development, data collection still relies on traditional methods that are time-consuming and resource-intensive. Today, it is essential to move towards digital census as a first step towards Iraq's digital transformation, which will improve many vital areas. Some may argue that the census has already begun, making this article redundant, but the answer is that the digital transformation of the population census will ensure continuous data updates and avoid the use of traditional methods in the future. The Importance of Digital Census in Digital Transformation: A digital census involves using modern digital systems to collect and update population data in real-time and with accuracy. This system relies on electronic civil registries that record all life events such as births, deaths, migration, and marriages. Instead of conducting a census every ten years, as is the case in Iraq today, a digital census allows for continuous and accurate data updates, significantly enhancing economic and social planning and development. In developed countries, population data is supported by interconnected systems that enable various government institutions such as the Ministry of Health, Ministry of Education, Ministry of Labor, and others to access real-time accurate data. This interconnection between institutions improves coordination and helps deliver more accurate and efficient services to citizens. Challenges Facing Iraq in the Digital Transformation of the Census: Despite the vast opportunities offered by the digital census, Iraq faces several challenges that hinder the transition to this system, including: Lack of digital infrastructure: Many government institutions still rely on paper systems or outdated and disjointed electronic systems. Delayed data updates: Population data collection is irregular, leading to a lack of accuracy in available information. Security and administrative challenges: Some areas are difficult to access due to complex security situations, limiting the state's ability to collect complete data. However, these challenges should not be seen as final obstacles but rather as significant opportunities to develop an integrated digital infrastructure that can enhance public services and facilitate data collection. Future Opportunities for Digital Transformation in Iraq: By investing in digital infrastructure, Iraq can develop systems that enable the continuous and accurate collection and updating of data. Investment in integrated digital systems: Building electronic civil registries that record life events in real-time. Interconnection between government institutions: Enhancing cooperation between various ministries and government institutions through unified digital systems for easier data exchange. Utilizing artificial intelligence and big data analysis: AI can be used to analyze population data more efficiently, contributing to more accurate decision-making. Conclusion: The digital census in Iraq represents the actual beginning of the digital transformation that many citizens aspire to. By investing in digital infrastructure and developing integrated electronic systems, Iraq can achieve a digital transformation that enhances data accuracy and improves public services. If these steps are implemented effectively, we will witness a digital Iraq capable of efficiently and effectively addressing future challenges.

15 October 2024

Artificial Intelligence in Healthcare: Transforming Medical Care Scientific Article by Programmer Sarah Saadoon Abbas

Artificial Intelligence (AI) is one of the most innovative technologies of modern times, entering various fields. In healthcare, AI plays a pivotal role in enhancing care quality and reducing costs. This article explores how AI is transforming healthcare, highlighting some significant applications. Importance of AI in Healthcare Healthcare data is growing exponentially, making manual analysis challenging. AI aids in processing and analyzing this data, enabling healthcare professionals to make informed decisions. Applications of AI in Healthcare 1. Early Diagnosis: AI algorithms are used to analyze medical images such as X-rays and MRIs. These algorithms can detect diseases at early stages, such as cancer, leading to improved treatment outcomes. 2. Personalized Treatments: AI helps determine the most effective treatments for each patient based on their individual health data, improving outcomes and reducing side effects. 3. Data Analytics: AI is utilized to analyze large datasets from medical records, helping discover patterns that can enhance treatments and health policies. 4. Virtual Assistants: AI applications serve as virtual assistants, providing advice to patients and answering their inquiries, thus improving patient experience. Challenges Despite the significant benefits, AI applications in healthcare face challenges, including: • Data Security: Protecting patients' personal data is crucial. • Ethics: Ethical considerations regarding AI in medical decision-making must be addressed. Conclusion AI represents a significant opportunity to improve healthcare and provide better medical services. It is essential to use this technology responsibly to ensure its benefits are realized.

31 August 2024

Publication of AI Research on ECG Classification Using Deep Learning in Collaboration with a Thai Research Team

A recent research paper by Dr. Abdulkadhem A. Abdulkadhem, a researcher at the Al-Mustaqbal Center for Artificial Intelligence Applications, has been published in a prestigious journal indexed by Scopus and Clarivate. The paper, titled "The Applications of Deep Learning in ECG Classification for Disease Diagnosis: A Systematic Review and Meta-Data Analysis," is now available in the Engineering Journal. This research is the result of a fruitful collaboration with a research team from Chulalongkorn University in Thailand, further strengthening international academic ties and reaffirming our university s commitment to innovation and advanced research in the field of artificial intelligence.

29 June 2024

Dr. Nidhal Khdhair El Abbadi participates in the First International Conference of the Arab Universities Union on Artificial Intelligence Technology

Professor Dr. Nidhal Khdhair El Abbadi, Director of the Al-Mustaqbal Center for AI Applications, participated in the first International Conference of the Association of Arab Universities, titled "Universities and Artificial Intelligence Technology," held in Jordan. Dr. El Abbadi presented a distinguished scientific paper during the conference. On the sidelines of the conference, Dr. El Abbadi met with the Secretary-General of the Association of Arab Universities and a number of Arab and foreign researchers. They discussed the state of artificial intelligence in the Arab world and the necessary steps to advance this field. Additionally, Dr. El Abbadi provided a brief overview of the Al-Mustaqbal University and its potential role in development. At the conclusion of the conference, Dr. El Abbadi was honored with a certificate of appreciation.

5 April 2024

Director of Al-Mustaqbal Center Publishes Groundbreaking Research on Lung Cancer Detection Using Wavelet Transform and Deep Learning

Dr. Nidal Khdeir Al-Abadi, Director of the Al-Mustaqbal Center for Artificial Intelligence Applications, has published groundbreaking research titled "Lung Cancer Detection Using Wavelet Transform and Deep Learning." The study aims to significantly enhance the accuracy of lung cancer diagnosis through an advanced model that integrates wavelet transform with deep learning techniques. The research methodology includes several key stages: preprocessing of images, applying wavelet transform to decompose images into multiple levels, utilizing auto-encoder techniques for dimensionality reduction and noise removal, and classifying images with a Multi-Layer Perceptron (MLP) algorithm. The model was evaluated on a dataset of 9541 images, comprising 4044 benign cases and 5497 malignant cases, and achieved a perfect classification accuracy of 100%. This advancement marks a significant step forward in improving diagnostic precision and treatment outcomes for lung cancer patients.

21 March 2024

From Reviewer to Editorial Board: Al-Mustaqbal AI Center Researcher Joins IJISP's Editorial Review Board

The Al-Mustaqbal Center for Artificial Intelligence Applications at Al-Mustaqbal University is delighted to announce that Dr. Abdulkadhem A. Abdulkadhem, a researcher in our research community, has been honored with an appointment to the Editorial Review Board of the "International Journal of Information Security and Privacy (IJISP)". This journal, a prestigious publication by IGI Global Publisher, holds a respected position within international research communities, indexed by renowned databases including Scopus and Clarivate. Dr. Abdulkadhem's appointment is a testament to his outstanding dedication and significant contributions to the field of information security. His role as a reviewer has been characterized by his acute analytical skills and his commitment to advancing knowledge through rigorous scientific inquiry. His involvement has consistently elevated the quality of research published in the journal.

2 March 2024

Appreciation for the Director of the Al_Mustaqbal Center for Artificial Intelligence Applications at the Conclusion of the "Empowering Generation Alpha" Workshop

At the conclusion of the "Empowering Generation Alpha" workshop, which was held as part of the Al_Mustaqbal Week for Sustainable Development activities on February 20, 2024, the Deputy Minister for Scientific Research, Professor Dr. Haider Abd Dhahed, presented a letter of appreciation to the Director of the AL-Musataqbal Center for Artificial Intelligence Applications, Prof. Dr. Nidal Khudair Abbas Al-Abadi, and to a number of university members, in recognition of their outstanding and sincere efforts in making the workshop a success. The "Empowering Generation Alpha" workshop, which aims to achieve the goals of sustainable development, witnessed broad participation and rich discussions on how to empower future generations through innovation and technology. The workshop, which brought together experts from various disciplines, highlighted the importance of artificial intelligence and its role in accelerating the pace of sustainable development. This honor is in recognition of the vital role played by the AL-Mustaqbal Center for Artificial Intelligence Applications in supporting scientific research and innovation, and in promoting sustainable development in society.

2 March 2024

Opening of the AL-Mustaqbal Center for Artificial Intelligence Applications at Al-Mustaqbal University Sponsored by the Deputy Minister of Higher Education for Scientific Research

In a step that reflects the increasing interest in modern technology and its applications, Professor Dr. Haider Abd Dhahed, the Deputy Minister of Higher Education for Scientific Research, inaugurated the Al-Mustaqbal Center for Artificial Intelligence Applications at Al-Mustaqbal University, in the presence of a distinguished group of personalities in the educational and research field. The opening of the center comes as a pioneering initiative aimed at supporting and enhancing scientific research in the field of artificial intelligence and encouraging its use in various sectors. The center, which represents a turning point in scientific research and technology, was designed to provide the necessary support for researchers and students to understand the depths of artificial intelligence and to employ its techniques effectively. Professor Dr. Haider Abd Dhahed praised the crucial role that the Center for Artificial Intelligence Applications plays in advancing scientific research and developing advanced technologies, emphasizing the full support of the Ministry for such initiatives that aim to raise the scientific and technological level in Iraq. During the visit, there was also an opportunity to explore the projects displayed at the artificial intelligence exhibition, which was part of the activities of the Future Week for Sustainable Development, offering a deep look at innovative applications and research projects in this vital field.