Computer Vision in Healthcare Applications

Computer Vision in Healthcare Applications
Globally, personal computers were one of the commonest office tools. It had become a necessity in the 21st century and has been regularly used in various institutions such as government offices, academic institutions, and banking systems. A continuous use of computer for an extended time causes vision problem called computer vision syndrome. Computer vision syndrome (CVS) is defined by the American Optometric Association as a complex of eye and vision problems related to the activities which stress the near vision and which are experienced in relation to or during the use of computers. It encompasses a group of visual symptoms which crop up from the extended viewing of the digital screen, when the demands of the task exceed the abilities of the viewer. Symptoms of CVS which are referred to as digital eye strain include dry and irritated eyes, eye strain/fatigue, blurred vision, red eyes, burning eyes, excessive tearing, double vision, headache, light/glare sensitivity, slowness in changing focus, and changes in color perception.
Computer vision syndrome (CVS) is the leading occupational hazard of the 21st century and its symptoms affect nearly about 70 percent of all computer users. Globally, CVS is one of the major public health problems and reduced productivity at work, increased error rate, reduced job satisfaction, and impaired visual abilities. A worldwide data show nearly 60 million people suffering from CVS and 1 million new cases occurred each year. Given the low availability and utilization of personal protective equipment, the high workload, and the limited break time while using computer in developing countries, the burden of CVS is very high.
Highly paid computer users were less likely to develop CVS than their low-paid counterparts. This might be due to the fact that high-paid computer users may have greater opportunity to use antiglare and good computers that could reduce the development of CVS. Conversely, low-paid ones were suffering from this disease because they could not afford these facilities. High-paid computer users might have good awareness on computer ergonomics and can optimize safe duration of computer exposure. Income was mentioned as a protective factor for health by different studies because high-paid workers can have a better access to health care, which could have alleviated their symptoms.
A standard EDITORIAL TRACKING SYSTEM is utilized for manuscript submission, review, editorial processing and tracking which can be securely accessed by the authors, reviewers and editors for monitoring and tracking the article processing. Manuscripts can be uploaded online at Editorial Tracking System (https://www.imedpub.com/submissions/american-computer-science-engineering-survey.html) or forwarded to the Editorial Office at computersci@scholarlymed.com
Media Contact:
Alice Nicholas
Journal Manager
American Journal of Computer Science and Engineering Survey
Email: computersci@scholarlymed.com