Advancing Bionic Solution through Artificial Intelligence in Healthcare IoT Environment

The convergence of human and artificial intelligence (AI) holds great potential for revolutionary changes in healthcare. This study investigates the possibility of a mutually beneficial relationship between artificial intelligence algorithms and human knowledge in creating bionic healthcare solutions. This paper emphasizes the revolutionary effect of this multidisciplinary strategy on healthcare delivery, patient outcomes, and quality of services by reviewing extensively recent developments and case examples. The Deep learning model is designed to predict diabetics using a standard dataset. The Convolution LSTM model is used to predict diabetics to improve accura-cy and reduce the latency. The proposed model is simulated in the Google Colab framework with Python programming language. The simulation results show that the proposed model is more accurate and lesser communication delay as compared to existing works.