Machine learning (ML), a subset of artificial intelligence (AI), has recently
gained prominence in the technology domain and is driving advancements in the
healthcare system. This innovation enables healthcare professionals to prioritize patient
diagnosis over time-consuming and intricate treatment procedures, significantly
transforming the healthcare sector. Considering the challenges posed by shortages and
high demand for skilled practitioners in healthcare systems, the emergence of machine
learning presents a promising solution. Consequently, it offers hope for countries
grappling with overburdened healthcare systems and a shortage of healthcare
professionals. Utilising healthcare data can provide valuable insights, such as
pinpointing ideal trial samples, gathering extra data points, continually analysing data
from trial participants, and minimising data-related errors. Employing a machine
learning-based approach aids in detecting early symptoms of an epidemic or pandemic,
allowing more time to focus on patient health and care rather than data entry or
information retrieval. This chapter examines the prospects and scope of Machine
Learning in healthcare. The key Machine Learning applications for healthcare are
identified and discussed. The ML-based solutions are utilised to lower overall
healthcare expenses, improve the general efficacy of hospitals and healthcare systems,
and provide a variety of treatment alternatives. Machine learning will soon influence
hospitals and doctors.
Keywords: Artificial intelligence, Blockchain, Healthcare, Medicine, Machine learning.
