Overview

The concept of smart healthcare is considerably optimistic thanks to the applications of artificial intelligence as well as augmented and virtual reality (AR/VR) which work in tandem to enhance better results and better delivery of care. The algorithm developed with the help of modern technology is aimed at analyzing and interpreting a significant volume of clinical healthcare data with the aim of enhancing diagnosis and practices. Additionally, 3-dimesional (3D) bioprinting is revolutionizing healthcare by fabricating biological tissues and organs for clinical regenerative medicine and surgical advances. Thus, personalized medicine can go a step further with providing clinical treatments that have specific doses and drugs combinations of the patients in need. Smart Healthcare, Clinical Diagnostics, and Bioprinting Solutions for Modern Medicine explores the revolution that smart healthcare is having on the improvement of management of hospitals through increased operational efficiency, adequate conformation of resources, and smooth patient flows. It advances processes that are utilized in clinical diagnosis with the aid of predictive modelling with best practices. Covering topics such as disease prediction, remote healthcare monitoring, and intelligent healthcare supply chains, this book is an excellent resource for policymakers, clinicians, information technologists, data scientists, biomedical engineers, professionals, researchers, scholars, academicians, and more.

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Parag Jain is presently engaged as the Director of RIT NAAC A++ Institution. Senior research fellowPost Doc AIT Thailand Ph. D. and M. Tech in the Computer Science. Research studies focus on the congestion control in wired and wireless ATM Networks, Fragmentation Method for Classification Workloads based on Genetic Algorithms, Analysis of Fixation Parameters during visual search using AI, Electric Vehicle Charging Real Time Optimization at charging station using AI, AI powered platform to identify primary prostate cancer patients with high risk of recurrence, BSE SENSEX Analysis and Predictor using IoT and AI, Human and non-human face detection using deep learning and AI based algorithm, E-LBP Based face color and edge detection, Tiger face detection using machine learning and AI based algorithm, Ensemble empirical mode decomposition and Kurtosis with Expert System for bearing faults diagnosis.

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