13Artificial Intelligence and Machine Learning in Healthcare Sector
Vivek P. Chavda1, Kaushika Patel2, Sachin Patel3 and Vasso Apostolopoulos4*
1Department of Pharmaceutics and Pharmaceutical Technology, L M College of Pharmacy, Ahmedabad, Gujarat, India
2Department of Pharmaceutical Technology, L.J. Institute of Pharmacy, L J University, Ahmedabad, Gujarat, India
3Formulation & Development–OSD, Amneal Pharmaceuticals Pvt. Ltd, Ahmedabad, Gujarat, India
4Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
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 ...
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