A research team from the University of Technology and Applied Sciences in Muscat conducted a study titled “Utilizing Artificial Intelligence for Early Alzheimer’s Detection” with the aim of enhancing AI-based tools for diagnosing Alzheimer’s disease, improving clinical decision-making processes, and bridging the gap between advanced AI technologies and their practical application in Alzheimer’s patient healthcare.
Dr. Ibrahim Farghis, senior lecturer in the Information Technology department, stated that Alzheimer’s has become a leading cause of death worldwide. The number of Alzheimer’s patients is expected to rise from 55 million to 139 million by 2050. Hence, the increasing prevalence of the disease necessitates the development of effective early diagnostic tools. The research team developed a smart application to assist doctors in efficiently using the diagnostic model, facilitating the provision of high-quality diagnostic care and treatment by offering accurate AI-based insights into each patient’s condition.
The researcher mentioned that the application is user-friendly, allowing input of clinical, genetic, demographic, and health data including neuroimaging and psychological aspects to provide a comprehensive view of Alzheimer’s disease. This comprehensive approach is essential for accurate disease diagnosis and improving patient treatment.
The research study emphasized the need to enhance collaboration between AI researchers and healthcare professionals to develop AI technology tools that meet clinical needs, enhance healthcare quality, and improve the effectiveness of medical interventions for patients.
Dr. Abraham noted that work is ongoing on the research project, with the team working on developing a “Virtual Psychiatrist” program for advanced management of psychological assessments for Alzheimer’s patients.
This study was funded by the Ministry of Higher Education, Research, and Innovation as part of an institutional funding program based on efficiency standards.
