Thesis Abstract

Abstract
Skin cancer is a significant public health concern, with early detection being crucial for successful treatment outcomes. In recent years, artificial intelligence (AI) has emerged as a powerful tool in various medical applications, including dermatology. This thesis presents the development of a smartphone application for the early detection of skin cancer using AI technology. The study begins with an introduction to the growing prevalence of skin cancer and the limitations of current diagnostic methods. A comprehensive literature review is conducted to explore existing AI applications in dermatology and identify gaps in the field. The research methodology section outlines the process of data collection, model training, and validation for the development of the smartphone application. The developed application utilizes machine learning algorithms to analyze images of skin lesions captured by smartphone cameras. Through a combination of image processing techniques and AI models, the application can classify skin lesions as benign or malignant with high accuracy. The performance of the application is evaluated using a dataset of skin lesion images, demonstrating its potential as a reliable tool for early skin cancer detection. The findings of the study highlight the effectiveness of the smartphone application in assisting healthcare professionals and individuals in the early identification of skin cancer. The discussion section delves into the implications of integrating AI technology into dermatological practice, addressing concerns related to accuracy, privacy, and accessibility. Moreover, the study emphasizes the importance of continuous improvement and validation of the application to enhance its diagnostic capabilities further. In conclusion, the development of a smartphone application for the early detection of skin cancer using artificial intelligence represents a significant advancement in dermatological technology. By leveraging the power of AI algorithms and smartphone technology, this application has the potential to revolutionize the field of dermatology, enabling timely and accurate diagnosis of skin cancer. Future research directions and considerations for the widespread adoption of the application are also discussed, underscoring the importance of collaboration between technology developers, healthcare providers, and regulatory bodies to ensure the safe and effective implementation of AI-based solutions in dermatological practice.

Thesis Overview

The project titled "Development of a smartphone application for early detection of skin cancer using artificial intelligence" aims to address the critical need for early detection of skin cancer through the innovative use of artificial intelligence technology on a mobile platform. Skin cancer is a prevalent and potentially life-threatening condition that affects millions of individuals worldwide. Early detection is crucial for successful treatment outcomes, yet many cases go undetected until they have progressed to advanced stages. This research project proposes the development of a smartphone application that leverages artificial intelligence algorithms to analyze images of skin lesions and provide real-time feedback on the likelihood of malignancy. By harnessing the power of machine learning and image recognition, this application seeks to empower users to perform self-assessments of suspicious skin lesions and seek medical attention promptly if necessary. The project will involve the design and implementation of the smartphone application, including the integration of cutting-edge artificial intelligence models for skin cancer detection. Data collection will be a key component of the research, as a diverse dataset of skin lesion images will be required to train and validate the AI algorithms. The performance of the application will be rigorously evaluated through testing with both simulated and real-world data to assess its accuracy, sensitivity, and specificity in detecting skin cancer. In addition to the technical development of the smartphone application, the project will also explore the ethical considerations surrounding the use of AI in healthcare, particularly in the context of skin cancer diagnosis. Privacy, security, and patient confidentiality will be paramount concerns that will be addressed in the research overview. Overall, this research project represents a significant step towards democratizing access to early skin cancer detection through the use of smartphone technology and artificial intelligence. By empowering individuals to proactively monitor their skin health and seek timely medical intervention, this project has the potential to save lives and improve outcomes for patients with skin cancer.