![]() ![]() Furthermore, not all mobile displays are appropriate for all types of images. There also needs to be a quality control mechanism to ensure that a device's display accurately conveys the image content without loss of contrast detail. ![]() Some degree of regulation is needed to ensure that the software used to view these images allows all relevant medical information to be visible and manipulated in a clinically acceptable manner. Medical images often come in large sets, which can bog down a network if not conveyed in an intelligent manner, and downloaded data on a mobile device are highly vulnerable to a breach of patient confidentiality should that device become lost or stolen. However, this raises serious concerns with regard to the ability of existing mobile devices and networks to quickly and securely move these images. Doctors and patients are beginning to expect medical images to be available on these devices for consultative viewing, if not actual diagnosis. Mobile devices have fundamentally changed personal computing, with many people forgoing the desktop and even laptop computer altogether in favor of a smaller, lighter, and cheaper device with a touch screen. Hirschorn, David S Choudhri, Asim F Shih, George Kim, Woojin Use of mobile devices for medical imaging. The system extracts a text summary of medical report and a screen capture of diagnostic medical image in JPEG format, which are transmitted to 3G GSM mobile phones. In this study, we developed an electronic medical report delivery system from a medical imaging department to the mobile phones of the referring doctors. The mobile phone is an ideal medium to achieve faster delivery of reports to the referring medical practitioners. Recently, mobile phones have been actively deployed in telemedicine applications. In medical imaging, the fast delivery of medical reports to referring medical practitioners is a major component of cooperative patient care. Fast and effective communication between medical practitioners can improve patient care. Medical practice is characterized by a high degree of heterogeneity in collaborative and cooperative patient care. Lim, Eugene Y Lee, Chiang Cai, Weidong Feng, Dagan Fulham, Michael Images can be read on screen much faster and relevance of documents can be identified quickly through the use of images contained inĭevelopment of an electronic medical report delivery system to 3G GSM mobile (cellular) phones for a medical imaging department. Mobile information access and in particular access to images can be surprisingly efficient and effective on smaller screens. A hybrid choice had to be taken to allow for taking pictures with the cell phone camera and upload them for visual similarity search as most producers of smart phones block this functionality to web applications. Constraints of small screens and navigation with touch screens are taken into account in the development of the application. A web-based scenario was chosen to allow for a use by other smart phone platforms such as Android as well. Solutions for mobile data access with an example on an iPhone in a web-based environment are presented as iPhones are frequently used and the operating system is bound to become the most frequent smartphone operating system in 2011. ![]() This article describes constraints of an information retrieval system including visual and textual information retrieval from the medical literature of BioMedCentral and of the RSNA journals Radiology and Radiographics. Mobile information retrieval in general has skyrocketed over the past year with many new applications and tools being developed and all sorts of interfaces being adapted to mobile clients. This creates a new field of mobile information search & access and in this context images can play an important role as they often allow understanding complex scenarios much quicker and easier than free text. In the process of mobile devices becoming reliable and having a functionality equaling that of formerly desktop clients, mobile computing has gained ground and many applications have been explored. Both textual and visual retrieval of images are essential. Image retrieval has gained in importance mainly as a research domain over the past 20 years. Images are an integral part of medical practice for diagnosis, treatment planning and teaching. Duc, Samuel Depeursinge, Adrien Eggel, Ivan Müller, Henning ![]()
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