Use of Cloud Computation Artificial Intelligence in Non-urban Area Atrial Fibrillation Screening
For the use of cloud computation artificial intelligence in non-urban area atrial fibrillation screening, the remote care center portable ECG unit of National Taiwan University Hospital (NTU Hospital) is utilized in conjunction with the tablet computer application program interface for easy operation, along with the remote care data viewing platform built-in with the ECG automatic determination program developed by the TELEHEALTH study group of NTU hospital in order to perform the non-urban area atrial fibrillation screening. In comparison to professional cardiology physicians, the sensitivity of the atrial fibrillation sensitivity is 95.5%, specificity is 97.7% and the satisfaction of screening is of the score of 92.1 points. This prospective research has not only received recognition from the JMIR mHealth and uHealth journal, but also provides a convenient and feasible method to prevent atrial fibrillation. People with atrial fibrillation are found to have 5 times greater potential of risks in stroke and 2 times greater potential of death rate. Presently, despite that there are anticoagulants capable of reducing the hazards of stroke caused by atrial fibrillation, nevertheless, it is estimated that approximately 1/4 of people with atrial fibrillation have not been diagnosed, which is mostly due to their residence at remote or non-urban areas. In this project, with minimum manpower, the utilization of cloud computation artificial intelligence is able to overcome come the insufficient healthcare manpower in order to improve the non-urban area healthcare accessibility such that the public health can be achieved.