Artificial Intelligence and Machine Learning in Healthcare Sector

Abstract

Artificial Intelligence (AI) and Machine learning (ML) are the emerging areas that have a major potential to boost the healthcare services. AI/ML modalities have been integrated into multiple domains of clinical practice, biomedical research, and healthcare administration. The key categories involved are screening and daily fitness monitoring, diagnostic services in radiology, pathology, and gastroenterology, and assistance in clinical decision-making and palliative care. Nevertheless, the large-scale integration of AI/ML in healthcare faces formidable challenges such as increased installation and maintenance costs, medical errors with a potential to harm patients, gaps in AI-related ethical frameworks, unemployment and decreased capacity building among the human workforce. Currently, numerous entrepreneurial ventures have been developed in the context of innovation in healthcare AI/ML. Their products and services range from vitals’ monitoring to advanced diagnostics. In a nutshell, AI/ML may play a crucial role in resolving the issues pertaining to complexity and up surging data in healthcare system. Altogether, AI/ML is a part of modern healthcare, whose further implementation is subject to comprehensively addressing relevant challenges.

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