International Research Journal of Education and Technology

The rapid advancements in artificial intelligence (AI) have revolutionized the field of medical diagnostics, particularly through the integration of multi- modal medical imaging and predictive analytics. This paper presents an AI-powered diagnostic suite that leverages deep learning and advanced data analytics to enhance disease detection, prognosis, and personalized treatment planning. By integrating various imaging modalities such as MRI, CT scans, ultrasound, and X-rays, the system provides a comprehensive and accurate assessment of patient health conditions. This approach not only improves diagnostic accuracy but also enhances clinical decision-making, reduces workload for healthcare professionals, and accelerates treatment interventions. The proposed framework is designed to be adaptable across various medical domains, including oncology, cardiology, and neurology. The study highlights the potential of AI-driven diagnostic suites in transforming modern healthcare by offering precise, efficient, and scalable diagnostic solutions.

Key Words: AI-powered diagnostics, multi-modal medical imaging, predictive analytics, deep learning, machine learning, disease detection, clinical decision support, healthcare AI.