Artificial Intelligence Applications in Medicine: A Rapid Overview of Current Paradigms

Abstract

Artificial intelligence (AI) is defined as “the ability of a digital machine or computer to accomplish tasks that traditionally have required human intelligence.” Simply put, these are machines that can think and learn. AI has become ubiquitous and is now being applied in healthcare. It uses concepts from statistics, computer science, and data science. An increased understanding of the tools is essential for medical practitioners and medical researchers so that they can contribute meaningfully to the development of the technology, instead of being mere data providers or data labellers. AI has been employed in the finance, marketing, and travel industries for a considerable length of time, but its application in medicine is only gaining acceptance now. Practical office tools based on the AI technologies appear to still be some time away, but these AI-based applications have the potential to benefit all stakeholders in the healthcare industry. This article briefly overviews the current paradigms of AI in medicine.

Keywords

• artificial intelligence (ai)
• deep learning
• deepmind
• machine learning (ml)
• natural language processing (nlp) methods
• neural networks