Artificial intelligence in medical diagnosis

Abstract

The use of artificial intelligence (AI) in medicine made its beginning five decades ago in 1972 when researchers at Stanford University in the USA developed an expert system MYCIN for treating blood infections. Since then, AI-based research in medicine is evolving every day to bring efficiency into medical diagnosis, early prediction of outcome, better clinical treatment and for rapid prognosis and recovery of patients. With the availability of an increasingly growing patients' associated information such as texts, audios, images and videos in structured and unstructured formats, it has become a challenge for computer scientists to process such information and to understand its insights into meaningful conclusions. With the development of powerful algorithms, AI has proven its ability in understanding the insights into data and taking health-related decisions in real time and improving clinical practice. This article provides an overview of various AI techniques in healthcare, especially deep learning used in medical diagnosis. The article also highlights the challenges and concerns of AI implementation.

Keywords

• artificial intelligence
• challenges
• deep learning
• healthcare
• medical diagnosis