Multiple Disease Detection Using Machine Learning: A Survey

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Abstract— In recent years, some researchers have used various machine learning-based approaches to develop autonomous disease detection systems, and early disease identification may help to reduce the number of people who die. The disease detection models aim to bring the medical and artificial intelligence (AI) fields together so that people can understand how well AI and medicine can work together. To better understand the role of Artificial intelligence in the medical field, we plan to conduct a comprehensive study on AI applications for the healthcare sector. First, we'll go over the highlights and motives for using AI in the healthcare industry. Following that, we go over machine-learning-based algorithms for integrating AI and the healthcare sector in depth. Next, we go over the technical problems of AI in the medical industry first, and then show how machine learning can help. We also look into the impact of machine learning in the medical field. Moreover, we also present several notable initiatives that demonstrate the importance of machine learning in healthcare applications and services. Finally, discuss some existing issues in disease identification and suggest future research and development areas that will lead to the usage of machine learning in the healthcare sector. Keywords— CNN, Deep Learning, MRI, Artificial Intelligence, Neural Network, Image Processing.