The emergence of the Internet of Things (IoT) and Artificial Intelligence
(AI) applications in many industries is due to recent developments in technology and
connectivity. This paper outlines various industry initiatives in healthcare that utilize
machine learning techniques. To meet this rising demand, considerable investment is
required to develop new medical imaging algorithms, such as those that can be used to
diagnose disease diagnostic systems errors, which can yield ambiguous medical
treatments. Early disease in imaging is usually predicted by machine learning and deep
learning algorithms. Imaging tools use machine learning and deep learning techniques
to analyze early disease. Medical imaging is on the cutting edge of deep learning
techniques, specifically the application of convolution neural networks. The supervised
or unsupervised algorithms are applied to a dataset containing specific instances, and
then the predictions are displayed. Machines and deep learning approaches are
excellent for data classification and automated decision-making.
Keywords: Artificial Intelligence, Deep Learning, Internet of Things (IoT), Machine Learning, Neural Network.
