In the medical field images obtained from high definition cameras and other medical imaging systems are an integral part of medical diagnosis. The analysis of these images are usually performed by the physicians who sometimes need to spend long hours reviewing the images before they are able to come up with a diagnosis and then decide on the course of action. In this dissertation we present a framework for a computer-aided analysis of medical imagery via the use of an expert system. While this problem has been discussed before, we will consider a system based on mobile devices. Since the release of the iPhone on April 2003, the popularity of mobile devices has increased rapidly and our lives have become more reliant on them. This popularity and the ease of development of mobile applications has now made it possible to perform on these devices many of the image analyses that previously required a personal computer. All of this has opened the door to a whole new set of possibilities and freed the physicians from their reliance on their desktop machines. The approach proposed in this dissertation aims to capitalize on these new found opportunities by providing a framework for analysis of medical images that physicians can utilize from their mobile devices thus remove their reliance on desktop computers. We also provide an expert system to aid in the analysis and advice on the selection of medical procedure. Finally, we also allow for other mobile applications to be developed by providing a generic mobile application development framework that allows for access of other applications into the mobile domain. In this dissertation we outline our work leading towards development of the proposed methodology and the remaining work needed to find a solution to the problem. In order to make this difficult problem tractable, we divide the problem into three parts: the development user interface modeling language and tooling, the creation of a game development modeling language and tooling, and the development of a generic mobile application framework. In order to make this problem more manageable, we will narrow down the initial scope to the hair transplant, and glaucoma domains.

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Mobile devices and mobile computing have made tremendous advances and become ubiquitous in the last few years. As a result, the landscape has become seriously fragmented which brings lots of challenges for the mobile development process. Whilst native approach of mobile development still is the predominant way to develop for a particular mobile platform, recently there is shifting towards cross-platform mobile development as well. In this thesis, a survey of the literature has been performed to see the trends in cross-platform mobile development over the last few years. With the result of the survey, it is argued that the web-based approach and in particular, hybrid approach, of mobile development serves the best for cross-platform development. Using the hybrid approach, a prototype application has also been developed and built into native application for different platforms. This has helped to get a better insight about the domain of cross-platform mobile development and its main advantage of the unification of the development and testing process. The results of this work indicate that even though cross platform tools are not fully matured they show great potential and reduce the cost associated in developing native mobile applications. Cross-platform mobile development is equally suitable for rapid development of high-fidelity prototypes of the mobile application as well as fairly complex, resource intensive mobile applications on its own right. As the upcoming future trends and the evolution of HTML5 continues to redefine the web, allowing its growth as a software platform, there remains great opportunities for cross-platform mobile development and hence provides an attractive alternative for the native mobile development.