Future of the Artificial Intelligence in Daily Health Applications

Abstract

This study explores the future possibilities of artificial intelligence (henceforth AI) and related daily health applications. AI mimics human intelligence though approaches of machine learning (ML), natural language processing (NLP), and expert thinking, which enable the use of healthcare data to improve outcomes of care. Leveraging AI in healthcare suggests a better return on investment (ROI) and efficiency than utilizing the skills of clinicians alone. The methodology used was exploratory in nature which hinged on the content analysis and synthesis of a literature review of studies done in this area. The study was driven by two research questions that address the potential benefits of AI and ethical considerations as a significant stumbling block. The results suggest the different types of AI systems are essential in daily healthcare applications which include ML, which requires artificial neural networks, administration, diagnostics, and treatment, and patient engagement and adherence. Focusing on the bigger picture, the application of AI in daily medical procedures will supplement clinicians’ understanding of their patients and improve outcomes of care through information processing.