Knowledge Bank Healthcare Articles Role of Information Technology in Medical Science Information technology IT is the application of computers and telecommunications equipment to store, retrieve, transmit and manipulate data, often in the context of a business or other enterprise. Today information technology is used in wide range of fields and one of the upcoming fields is of Medical Science, which is known as Health Information Technology HIT. Health information technology HIT is the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, data, and knowledge for communication and decision making.
Solid-state Physics[ edit ] Solid-state physics is another field that is closely related to computer vision. Most computer vision systems rely on image sensorswhich detect electromagnetic radiationwhich is typically in the form of either visible or infra-red light.
The sensors are designed using quantum physics. The process by which light Computer and medical field with surfaces is explained using physics. Physics explains the behavior of optics which are a core part of most imaging systems.
Sophisticated image sensors even require quantum mechanics to provide a complete understanding of the image formation process. Neurobiology[ edit ] A third field which plays an important role is neurobiologyspecifically the study of the biological vision system.
Over the last century, there has been an extensive study of eyes, neurons, and the brain structures devoted to processing of visual stimuli in both humans and various animals.
This has led to a coarse, yet complicated, description of how "real" vision systems operate in order to solve certain vision related tasks. These results have led to a subfield within computer vision where artificial systems are designed to mimic the processing and behavior of biological systems, at different levels of complexity.
Also, some of the learning-based methods developed within computer vision e.
Some strands of computer vision research are closely related to the study of biological vision — indeed, just as many strands of AI research are closely tied with research into human consciousness, and the use of stored knowledge to interpret, integrate and utilize visual information.
The field of biological vision studies and models the physiological processes behind visual perception in humans and other animals. Computer vision, on the other hand, studies and describes the processes implemented in software and hardware behind artificial vision systems.
Interdisciplinary exchange between biological and computer vision has proven fruitful for both fields. Many methods for processing of one-variable signals, typically temporal signals, can be extended in a natural way to processing of two-variable signals or multi-variable signals in computer vision.
However, because of the specific nature of images there are many methods developed within computer vision which have no counterpart in processing of one-variable signals. Together with the multi-dimensionality of the signal, this defines a subfield in signal processing as a part of computer vision.
Other fields[ edit ] Beside the above-mentioned views on computer vision, many of the related research topics can also be studied from a purely mathematical point of view. For example, many methods in computer vision are based on statisticsoptimization or geometry.
Finally, a significant part of the field is devoted to the implementation aspect of computer vision; how existing methods can be realized in various combinations of software and hardware, or how these methods can be modified in order to gain processing speed without losing too much performance.
Distinctions[ edit ] The fields most closely related to computer vision are image processingimage analysis and machine vision. There is a significant overlap in the range of techniques and applications that these cover.
This implies that the basic techniques that are used and developed in these fields are similar, something which can be interpreted as there is only one field with different names.
On the other hand, it appears to be necessary for research groups, scientific journals, conferences and companies to present or market themselves as belonging specifically to one of these fields and, hence, various characterizations which distinguish each of the fields from the others have been presented.
Computer graphics produces image data from 3D models, computer vision often produces 3D models from image data . There is also a trend towards a combination of the two disciplines, e. The following characterizations appear relevant but should not be taken as universally accepted: Image processing and image analysis tend to focus on 2D images, how to transform one image to another, e.
Computer vision includes 3D analysis from 2D images.
This analyzes the 3D scene projected onto one or several images, e. Computer vision often relies on more or less complex assumptions about the scene depicted in an image.Computers play an indispensable role in the medical field, and without them, proficiency and productivity would decline markedly.
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The field is growing in importance due to increasing reliance on computer systems, the Internet and wireless networks such as. Well there is medical imaging, a cross between Computer Science and some level of medical training, mostly for improving areas where humans score badly. Perhaps with a track like this, which involves research and most likely industry cooperation, you get to fulfill both of your goals.