Abstract

With careful and systematic documentation of data in healthcare industry, an enormous amount of data has been accumulated in each discipline of medicine. This amount of data comes with at least a couple of consequences. On one hand, it helps better diagnose and treat a condition while on the other it is too big and very fast evolving to keep pace with for both researchers and clinicians. To help a clinician navigating the vast array of data even for one condition becomes very demanding. This article provides a guide to understand the fundamentals of AI technologies (i.e., machine learning, natural language processing, and AI voice assistants) as well as their applications/ implications in healthcare and stem cell therapy.

Keywords

artificial intelligence (AI), healthcare innovation, medical diagnostics, stem cell research, regenerative medicine, personalized medicine, machine learning (ML), clinical applications of AI, drug discovery, AI in medical imaging, AI-driven treatment planning