Role of AI for Smart Health Diagnosis and Treatment
Priyanka Gupta, Manoj Kumar Pandey
Abstract
Artificial intelligence (AI) has transformed the medical field by providing intelligent algorithms and machine learning (ML) techniques that aid in accurate diagnosis and effective treatment planning. The chapter delves into the various AI applications like image recognition and natural language processing (NLP), which have significantly improved medical outcomes and patient care. Furthermore, the integration of big data analysis has revolutionized healthcare management by enabling comprehensive data collection, storage, and analysis. The chapter highlights the potential of leveraging big data to enhance clinical decision-making, identify patterns, and predict disease outbreaks. It also emphasizes the significance of data privacy and security in managing sensitive healthcare information. The advent of wearable medical devices has empowered one person to monitor their health condition in real time. The chapter explores the diverse range of wearable devices, including smartwatches, fitness trackers, and biosensors, with their pros and cons. The analysis of this data enables early detection of health issues and provides personalized feedback for improved self-management. Moreover, bio-signals and telemedicine have emerged as key components of modern healthcare delivery. By leveraging advanced technological solutions, these innovations hold the promise of enhancing medical practices and delivering better healthcare outcomes.