Horizon of Medical Education Development

The Potential of Artificial Intelligence-Based Technologies in Disease Diagnosis, Treatment, and Medical Care

https://doi.org/10.22038/hmed.2024.25092
Volume 16, Special Issue1
Summer 2025
Pages 6-21
Horizon of Medical Education Development

Document Type : Original Article

Authors

Mohadeseh Ghavami Pour Sereshkeh 1
Amirreza Mahmoudi 1
Haleh Soraiyay Zafar 2

1 Department of Law, Faculty of Humanities, Islamic Azad University, Lahijan, Iran.

2 Department of Food Science, Faculty of Agriculture, Islamic Azad University, Tabriz, Iran.

Abstract
Introduction: In recent years, the increasing availability of big data in the health sector has provided a suitable platform for the development and application of artificial intelligence-based technologies. With the ability to analyze complex data and extract hidden clinical patterns, this technology has great potential to improve the accuracy of medical decisions and improve the quality of healthcare.
Materials & Methods:  The present study was conducted using a descriptive method and based on a systematic review of published scientific sources, the applications of artificial intelligence in various medical fields, including diagnosis, treatment, health systems management, and medical education, were analyzed. The challenges of implementing this technology and its future prospects were also examined.
Results: The results show that AI-based technologies have been remarkably effective in areas such as accurate and rapid disease diagnosis, disease prevention, treatment planning, and robotic surgery, 3D bio printing, mixed reality, hospital management, and controlling pandemics such as COVID-19. These technologies have been able to significantly improve the efficiency, accuracy, and speed of medical processes.
Conclusion:   Despite the broad benefits of AI in healthcare, challenges such as data quality, ethical considerations, legal requirements, and institutional resistance have hindered its widespread implementation. However, adopting a responsible approach, based on multidisciplinary collaboration and clear ethical frameworks, can pave the way for effective and sustainable exploitation of this technology in future health systems.

Keywords

Artificial intelligence technology
AI in Medicine
Machine learning
Deep learning
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