Enhancing Artificial Intelligence-Based Medical Diagnosis Using Quantum Computing: A Case Study of Federal Medical Centre, Gusau, Zamfara State
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- NGN 5000
Background of the Study
Accurate medical diagnosis is essential for effective treatment and patient care. At the Federal Medical Centre in Gusau, Zamfara State, traditional AI-based diagnostic systems sometimes struggle with processing complex biomedical data. Quantum computing can accelerate data analysis and improve diagnostic accuracy by processing multiple variables concurrently (Ibrahim, 2024; Adekunle, 2023). By integrating quantum computing with AI, enhanced diagnostic models can be developed to identify disease patterns more precisely, reduce error rates, and provide timely treatment recommendations. This study examines how quantum-enhanced AI models can transform medical diagnosis, leading to better patient outcomes and more efficient healthcare delivery.
Statement of the Problem
The current AI diagnostic systems face limitations in analyzing large, complex datasets, leading to delays and potential misdiagnoses (Emeka, 2023). The Federal Medical Centre’s reliance on classical computing restricts the speed and accuracy of diagnosis, impacting patient care. With the rise of quantum computing, there is an opportunity to overcome these challenges, yet integration remains limited by technical complexity and resource constraints. This study aims to assess the feasibility of quantum computing in enhancing AI-based diagnosis and to identify the challenges in adopting these technologies in a clinical setting.
Objectives of the Study
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Investigate quantum computing’s impact on medical diagnosis accuracy.
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Identify integration challenges with existing AI systems.
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Propose a framework for quantum-enhanced diagnostic models.
Research Questions
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How can quantum computing improve AI-based medical diagnosis?
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What technical challenges hinder integration in clinical settings?
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What framework supports scalable implementation?
Significance of the Study
This study is significant as it explores the convergence of quantum computing and AI to revolutionize medical diagnosis. Enhanced diagnostic accuracy and speed will lead to improved patient outcomes, reduced healthcare costs, and strengthened clinical decision-making, thereby positioning the Federal Medical Centre as a leader in medical innovation (Chinwe, 2024).
Scope and Limitations of the Study
The study is limited to the Federal Medical Centre in Gusau, Zamfara State, focusing on medical diagnosis systems, defined objectives, and selected LGAs in the sampled state only.
Definitions of Terms
• Quantum-Enhanced AI: Integration of quantum computing with artificial intelligence to improve data processing.
• Medical Diagnosis: The process of determining a disease from its symptoms and test results.
• Diagnostic Accuracy: The degree to which a test correctly identifies a condition.
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