Clinicians and health services are facing unprecedented pressure because of changing demographics, administrative requirements, workforce shortages and increasing morbidity.
In recent years there has been massive progress in Artificial Intelligence (AI) with the development of Deep Neural Networks, Natural Language Processing, Computer Vision and Robotics. These techniques are now actively being applied in healthcare as increasing evidence is being presented that employment of AI can help with augmenting clinical care and lessening administrative burden for clinicians. However, there has also been exceptional hype about the abilities of AI with a mistaken notion that AI will replace human clinicians altogether. These perspectives are inaccurate and come from those who are not conversant with the limitations of machine learning and robotics. If one takes a balanced perspective of the limitations and promise of AI, one can gauge which parts of the health system AI can be integrated to make a meaningful impact. In this presentation, I will discuss where AI can be used in healthcare and how to mitigate the challenges arising out of the application.