Litcius/Paper detail

Impacts of 5G Machine Learning Techniques on Telemedicine and Social Media Professional Connection in Healthcare

P. Siva Satya Sreedhar, V. Sujay, Maderametla Roja Rani, L. Melita, S. Reshma, Sampath Boopathi

2024Advances in medical technologies and clinical practice book series55 citationsDOI

Abstract

The healthcare industry is undergoing a transformation due to the convergence of advanced technologies. This chapter explores the impact of 5G connectivity, machine learning, and social media integration in healthcare. It delves into the evolution of telemedicine, the role of social media in healthcare communication, and the emergence of 5G networks and machine learning. The chapter also discusses the foundations of 5G technology, its implications for telemedicine, and the ethical considerations of machine learning techniques in healthcare. It also highlights the potential of social media in healthcare to foster professional connections, enable collaboration, and educate patients. The chapter addresses challenges like adoption barriers, ethical dilemmas, and legal considerations, envisioning a future where these technologies integrate for efficient, ethical, and patient-centric healthcare.

Topics & Concepts

Health careTelemedicineSocial mediaHealthcare industryHealth professionalsKnowledge managementConvergence (economics)Engineering ethicsComputer scienceArtificial intelligenceEngineeringPolitical scienceWorld Wide WebEconomic growthEconomicsLawArtificial Intelligence in Healthcare and EducationTelemedicine and Telehealth ImplementationSocial Media in Health Education