Development of a mobile application for early detection of skin cancer using artificial intelligence

Thesis Abstract

Abstract
Skin cancer is a significant public health concern worldwide, with early detection being crucial for successful treatment and outcomes. The advancement of artificial intelligence (AI) technologies has provided new opportunities for improving the early detection of skin cancer through mobile applications. This thesis presents the development of a mobile application that utilizes AI algorithms for the early detection of skin cancer. The research begins with a comprehensive introduction that highlights the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The literature review in Chapter Two provides a detailed examination of existing research on skin cancer detection, AI applications in dermatology, and the use of mobile technology for healthcare purposes. Chapter Three outlines the research methodology employed in developing the mobile application, including data collection methods, AI algorithm selection, software development process, testing procedures, and evaluation criteria. The chapter also discusses ethical considerations and potential challenges faced during the research process. In Chapter Four, the findings of the study are presented and discussed in detail. The performance of the developed mobile application in detecting skin cancer is evaluated based on accuracy, sensitivity, specificity, and other relevant metrics. The results are compared with existing methods and technologies to assess the efficacy of the AI-powered mobile application. The conclusion and summary in Chapter Five provide a comprehensive overview of the research findings, implications for clinical practice, limitations of the study, and recommendations for future research. The mobile application developed in this study demonstrates promising potential for improving the early detection of skin cancer, thereby contributing to better patient outcomes and healthcare delivery. Overall, this thesis contributes to the growing body of literature on the application of AI in dermatology and healthcare, highlighting the importance of leveraging technology for early disease detection and management. The development of a mobile application for skin cancer detection using AI represents a significant advancement in the field, with the potential to enhance healthcare accessibility, affordability, and effectiveness.