Title: Artificial intelligence in digital health

Abstract

Artificial Intelligence (AI) is the simulation of human intelligence processess by machines. Natural Intelligence (NI) displayed by humans and animals, which involve consciousness and emotionality. Three process in the AI required (1) Learning processes. Focuses on acquiring data and creating rules for how to turn the data into information. The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task. (2) Reasoning processes. Focuses on choosing the right algorithm to reach a desired outcome. (3) Self-correction processes. Focus on designing to continually fine-tune algorithms and ensure they provide the most accurate results possible. AI has widely used in the medical domain. Digital health is defined as the “use of information and communications technologies to improve human health, healthcare services, and wellness for individuals and across populations.” Recently technology medical doctor required on real-time results in prediction and decision making for example in early warning or preparedness. AI is widely used in prediction and decision making. When using AI, the reliability and accuracy in prediction and decision making required the medical doctor verification. One of the AI was used as personal movement in the rehabilitation. In the exercise games, usually the physiotherapy will perform the manually setting that suitable by the patients. But when using AI, it can be done automatically and help physiotherapy. It helps the patient’s improvement tremendously. Most of the hospital nowadays using Hospital Information System, for example, x-ray or diagnosis kept in the database. It is easier for the medical doctor to extract the data from everywhere.