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Full Description
Healthcare 5.0 represents a paradigm-shifting period in healthcare, defined by the amalgamation of cutting-edge technologies like Artificial Intelligence (AI), Big-Data, Brain Computer Interface, Experience Reality (XR), Internet of Things (IoT), and Robotics to fabricate intelligent, adaptable, patient-focused and reliable healthcare systems. This book investigates the ideas of AI-driven workspaces in the context of sustainable telemedicine, that is, healthcare that delivers high quality care services by using advanced technologies in an affordable way, while minimising the impact on the environment. It thoroughly explores AI aligned areas to provide tangible healthcare solutions with the incorporation of proposed ideas, possible results based on designed & developed frameworks or applications, and suitable case studies. It is intended to provide innovators, IT specialists, and healthcare professionals with useful insights and pointers for implementing or improving AI-driven telemedicine solutions in a sustainable manner.
Contents
The role of artificial intelligence in chronic disease management through telemedicine and future directions.- The integration of ai and telemedicine in chronic illness care current trends and future insights.- Transforming teletherapy using transfer learning and nlp for improved mental health care.- Childhood ptsd and trauma treatment using nlp v/k dissociation, and machine learning.- Robotics, automation and telemedicine in healthcare 5.0 diagnostic and treatment processes.- The role of artificial intelligence in legal decision-making.- The role of artificial intelligence machine learning in managing chronic and mental health conditions through telemedicine during covid-19.-Role of artificial intelligence in the healthcare industry.-Healthcare 5.0 transforming telemedicine workflow through innovation.-Intelligent applications and its impactin improving brain-health.- Smart healthcare systems enhancing patient care through ai and big data.-Hair disease detection system using machine learning.-Blockchain associated machine learning approach for earlier prognosis and preclusion of osteoporosis in elderly.-Ga vs pso effectiveness in feature selection for heart disease prediction.
