The global healthcare ecosystem is being changed thanks to substantial
advancements in the fields of machine learning (ML) and artificial intelligence (AI).
The potential of ML and AI to improve patient care, increase diagnostic accuracy,
optimize treatment regimens, and reduce administrative procedures is covered in this
chapter as we investigate the many methods and uses of ML and AI within the
healthcare industry. ML and AI have the potential to change healthcare delivery,
resource allocation, and disease prevention through the use of large-scale data analysis,
predictive modeling, and intelligent decision-making systems. This chapter presents a
thorough review of the existing ML and AI methods used in healthcare, emphasizing
their advantages, difficulties, and potential future applications. The global healthcare
ecosystem might be changed by the introduction of ML and AI, resulting in improved
patient outcomes. ML and AI can help expand access to healthcare by enabling remote
diagnosis and telemedicine, especially in underserved areas. This aligns with the goal
of ensuring healthy lives and promoting well-being for all ages.
Keywords: Artificial intelligence (AI), Data analysis, Global healthcare ecosystem, Healthcare delivery, Machine learning (ML), Patient care, Predictive modeling, Treatment optimization.