Evaluation of the Role of Quantum-Inspired AI in Medical Diagnosis at Gombe State University Teaching Hospital, Gombe State
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Artificial intelligence (AI) has already made significant strides in various domains, with healthcare being one of the key areas where its potential is increasingly being realized. AI algorithms have been used in medical diagnostics to analyze medical images, predict patient outcomes, and assist in disease detection. However, despite the advances in classical AI, there remain challenges in processing large datasets, improving accuracy, and ensuring real-time responses. Quantum-inspired AI, which draws on concepts from quantum computing but operates on classical hardware, offers a potential solution to some of these limitations.
At Gombe State University Teaching Hospital in Gombe State, medical diagnosis is crucial to providing accurate and timely healthcare to patients. The integration of quantum-inspired AI into diagnostic tools could enhance the ability of healthcare professionals to make more accurate diagnoses, especially in complex cases. Quantum-inspired AI uses algorithms that mimic quantum computing techniques, such as superposition and entanglement, to perform calculations more efficiently than classical AI methods, allowing for faster and more accurate predictions.
This study aims to evaluate the role of quantum-inspired AI in improving medical diagnosis at Gombe State University Teaching Hospital. By exploring how these advanced AI techniques can enhance diagnostic accuracy and efficiency, the research will contribute to the growing body of knowledge on the intersection of AI and healthcare, particularly in resource-limited settings like Nigeria.
Statement of the Problem
Despite advancements in AI applications for medical diagnosis, challenges remain in achieving the level of accuracy, speed, and efficiency required for optimal healthcare delivery, particularly in under-resourced settings. Classical AI algorithms struggle with processing large, complex datasets, which can delay diagnosis or lead to incorrect conclusions. In Gombe State University Teaching Hospital, the need for better diagnostic tools is evident, as healthcare professionals face challenges in diagnosing complex medical conditions quickly and accurately.
Quantum-inspired AI offers the potential to overcome some of these challenges by using techniques based on quantum computing to process data more efficiently. However, the integration of quantum-inspired AI into medical diagnosis in Nigerian hospitals is still in its infancy, and there is limited research on how it can be effectively applied in this context. This study will investigate how quantum-inspired AI can enhance diagnostic processes at Gombe State University Teaching Hospital, identifying both the benefits and challenges of its adoption.
Objectives of the Study
-
To evaluate the effectiveness of quantum-inspired AI in improving the accuracy of medical diagnosis at Gombe State University Teaching Hospital.
-
To identify the challenges in integrating quantum-inspired AI into existing diagnostic systems at the hospital.
-
To propose strategies for implementing quantum-inspired AI to enhance medical diagnostic capabilities in healthcare facilities.
Research Questions
-
How effective is quantum-inspired AI in improving the accuracy of medical diagnoses at Gombe State University Teaching Hospital?
-
What challenges exist in integrating quantum-inspired AI into the existing diagnostic systems at the hospital?
-
What strategies can be adopted to enhance the use of quantum-inspired AI for medical diagnostics in Nigerian hospitals?
Significance of the Study
This study will contribute to the improvement of medical diagnostics in Nigerian healthcare facilities, offering insights into how quantum-inspired AI can enhance diagnostic accuracy and efficiency. The findings will provide valuable recommendations for integrating advanced AI technologies into healthcare systems, ultimately improving patient outcomes and healthcare delivery.
Scope and Limitations of the Study
The scope of this study is limited to the evaluation of quantum-inspired AI in medical diagnosis at Gombe State University Teaching Hospital. It does not cover other hospitals or healthcare systems outside Gombe State. The limitations include the availability of necessary resources and the expertise required to implement quantum-inspired AI in a practical healthcare setting.
Definitions of Terms
-
Quantum-Inspired AI: AI algorithms that draw on principles from quantum computing to improve data processing and problem-solving capabilities.
-
Medical Diagnosis: The process of identifying a medical condition or disease based on symptoms, medical history, and diagnostic tests.
-
Healthcare Delivery: The provision of medical services to individuals and communities, aiming to improve health outcomes.
Related Project Materials
AN EVALUATION OF THE CONTRIBUTION OF SCHOOL LIBRARIES TO STUDENTS’ NEWSPAPER READING HABITS IN KAFANCHAN LOCAL GOVERNMENT AREA, KADUNA STATE
Background of the Study:
Regular newspaper reading can foster critical thinking, improve language proficiency, and keep stu...
An evaluation of the role of online study groups in improving students' academic performance in Maiduguri East LGA, Borno State
Background of the Study
Online study groups have increasingly become a vital component of modern education, providing an interactive digi...
An investigation of students' perceptions of STEM careers in Fika LGA, Yobe State
Background of the Study
The pursuit of careers in Science, Technology, Engineering, and Mathematics (STEM) is increas...
An Evaluation of the Role of Big Data Analytics in Enhancing Public Policy in Nigeria
Background of the Study
Big data analytics has emerged as a transformative tool in public policy, enabling governments to...
ASSESSMENT OF KNOWLEDGE AND ATTITUDE OF TEACHERS TOWARDS SAFETY AND SECURITY OF SECONDARY SCHOOL STUDENTS IN NIGERIA
ABSTRACT
The purpose of this study was to assess the knowledge and attitude of teachers towards safety and security of secondary school s...
PROBLEMS AND PROSPECTS OF JUDICIAL ADMINISTRATION IN NIGERIA
BACKGROUND OF THE STUDY
The Nigerian political history dated back to the pre-colonial era. The various&...
THE USE OF CO-AUTHORSHIP NETWORKS IN ENHANCING COLLABORATIVE RESEARCH AMONG FACULTY MEMBERS AT OLABISI ONABANJO UNIVERSITY, AGO-IWOYE, OGUN STATE
Background of the Study
Co-authorship networks have gained prominence as pivotal indicators of collaborative research trend...
An Assessment of Governmental Accounting on Rural Electrification Projects in Sokoto North LGA, Sokoto State
Background of the Study
Rural electrification is essential for socio-economic development, improving quality of life, and promoting indus...
Exploring the Use of AI-Based Cognitive Computing in University Academic Research: A Case Study of Ahmadu Bello University, Zaria (Zaria LGA, Kaduna State)
Background of the Study
Academic research in universities has traditionally relied on manual methods of data collection, an...
An assessment of women’s micro-enterprises and family welfare in Yenagoa Local Government Area, Bayelsa State
Background of the Study:
Women’s micro-enterprises have emerged as a cornerstone for promoting family welfare in Yena...
