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

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.