To enhance the vision to a 3D immersive environment we propose the use of inherent human stereoscopic vision. Using the twin camera for 3D data acquisition and Head-Mounted 3D display system this can be easily achieved. Compression and decompression software can be used to minimize the bandwidth requirement to transfer the data between patient's end and doctor's end through internet.
Dermatology is a visual specialty and it is an ideal candidate to harness the latest innovation in communications technology to change the way dermatological care is delivered to the patients independent of time or place. The inherently visual nature of dermatology makes it and ideal candidate for virtual medicine (Pak, H. S, 2002, PP 179-89). The lack of dermatological care to patients due to low number of Dermatologists especially in rural areas are fuelling interest in this stream. Using telemedicine in dermatology can be very effective because 20% of general practitioners are unable to diagnose twenty of the most common dermatological diseases. Teledermatology can help providing dermatologic care to patients isolated geographically reducing transportation expenses and the time spent. In general, telemedicine has been increasingly recognized as an important component in the modernization of the health care system. With current technological advances there is no doubt about the feasibility and at the same time decreasing cost of computers and internet bandwidth has made the option of telemedicine more and more economically viable. According to a survey conducted by American Telemedicine Association in Year 2005, it was found that there are currently more than 60 active Teledermatology programs across different US states. Currently, markets are full of devices and services for Teledermatology. However, the absence of a common standard, portability and interoperability is a major issue. Often, telemedicine is seen as an aid or adjunct to conventional medicine instead of a replacement. With increasing efficiency of available tools and technology to deliver the expected results, we hope that its acceptance will grow over time. When it comes to application of Teledermatology systems based on three-dimensional computer vision, we may have several options. With so many available options to choose from, it becomes a question of cost optimization and effectiveness. One of the possibilities is to implement automation at the data acquisition end itself. Using AI and CDSS (clinical decision support system) can greatly improve the diagnosis. However, it is important to note that in any teledermatology system, the knowledge base for analysis of patient data and diagnosis is owned by the Dermatologist. Thus even if we are planning to use such advance automation techniques, it should be at the end where dermatologist is analyzing the data and not at the data acquisition end. Also, these techniques are not foolproof and error-prone. High cost of implementation and maintenance is another big hurdle in using automation. But to keep our proposed system upward compatible, there should be an option to integrate it with any automation and CDSS system. The reason for this is that with improving technology and