985 resultados para Health Informatics


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Ligand prediction has been driven by a fundamental desire to understand more about how biomolecules recognize their ligands and by the commercial imperative to develop new drugs. Most of the current available software systems are very complex and time-consuming to use. Therefore, developing simple and efficient tools to perform initial screening of interesting compounds is an appealing idea. In this paper, we introduce our tool for very rapid screening for likely ligands (either substrates or inhibitors) based on reasoning with imprecise probabilistic knowledge elicited from past experiments. Probabilistic knowledge is input to the system via a user-friendly interface showing a base compound structure. A prediction of whether a particular compound is a substrate is queried against the acquired probabilistic knowledge base and a probability is returned as an indication of the prediction. This tool will be particularly useful in situations where a number of similar compounds have been screened experimentally, but information is not available for all possible members of that group of compounds. We use two case studies to demonstrate how to use the tool.

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Diagnostic accuracy and management recommendations of realtime teledermatology consultations using low-cost telemedicine equipment were evaluated. Patients were seen by a dermatologist over a video-link and a diagnosis and treatment plan were recorded. This was followed by a face-to-face consultation on the same day to confirm the earlier diagnosis and management plan. A total of 351 patients with 427 diagnoses participated. Sixty-seven per cent of the diagnoses made over the video-link agreed with the face-to-face diagnosis. Clinical management plans were recorded for 214 patients with 252 diagnoses. For this cohort, 44% of the patients were seen by the same dermatologist at both consultations, while 56% were seen by a different dermatologist. In 64% of cases the same management plan was recommended at both consultations; a sub-optimum treatment plan was recommended in 8% of cases; and in 9% of cases the video-link management plans were judged to be inappropriate. In 20% of cases the dermatologist was unable to recommend a suitable management plan by video-link. There were significant differences in the ability to recommend an optimum management plan by video-link when a different dermatologist made the reference management plan. The results indicate that a high proportion of dermatological conditions can be successfully managed by realtime teledermatology.

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Results from phase 1 of the UK Multicentre Teledermatology Trial demonstrated the diagnostic accuracy of realtime teledermatology using low-cost equipment. Phase 2 of the trial aimed to assess its effectiveness as a management tool for dermatological disease. Teledermatology consultations were organized between two health centres and two hospitals in Northern Ireland using low-cost videoconferencing equipment. For 205 patients seen by a dermatologist over the video-link a diagnosis and management plan were recorded. A subsequent face-to-face consultation was arranged on the same day to confirm the diagnosis and treatment regime. A comparison of these management plans revealed that the same plan was recommended in 64% of cases; the teledermatologist was unable to advocate a suitable management plan in 19% of cases; a suboptimal treatment plan was suggested by the teledermatologist in 6% of cases; and in 11% of cases, the teledermatologist suggested an inappropriate treatment plan. These findings indicate that appropriate clinical management was possible in approximately two-thirds of dermatology consultations via the video-link.

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Teledermatology consultations were organized between two health centers and two hospitals in Northern Ireland using low-cost videoconferencing equipment. A prospective study of patient satisfaction was carried out. Following each teleconsultation, patients were asked to complete a questionnaire assessing their satisfaction with the service. Over 22 months, 334 patients were seen by a dermatologist over the video-link, and 292 patients (87%) completed the 16-item questionnaire. Patients reported universal satisfaction with the technical aspects of teledermatology. The quality of both the audio and the display was highly acceptable to patients. Personal experiences of the teledermatology consultation were also favourable: 85% felt comfortable using the video-link. The benefits of teledermatology were generally recognized: 88% of patients thought that a teleconsultation could save time. Patients found the teledermatology consultation to be as acceptable as the conventional dermatology consultation. These findings suggest overall patient satisfaction with realtime teledermatology.

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Ultrasound has long been recognized as a means of effecting change at the cellular and tissue levels [1-3], which may be enhanced in the presence of photosensitive agents [4-6]. During insonation, the presence of bubbles can also play a role, creating strong microstreaming effects in solution and in more dramatic circumstances leading to the formation of energetic microjets [7], plasmas [8], and the production of other highly reactive species [9]. Such sonodynamic activity has generated particular excitement in the medical community as it Moreover the dual role for microbubbles as both an adjunct to therapy and a diagnostic echogenicity enhancer has seen industry take a proactive role in their development. In the present paper we studied the role of ultrasound driven sonoluminescent light on the degradation of a fluorescent test species (rhodamine) in the presence of an archetypal photocatalyst material, TiO 2, with a view to exploring its exploitation potential for downstream medical applications. We found that, whilst the efficiency of this process is seen to be low compared with conventional ultra-violet sources, we advocate the further exploration of the sonoluminescent approach given its potential for non-invasive applications. A strategy for enhancing the effect is also suggested. 

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Morphological changes in the retinal vascular network are associated with future risk of many systemic and vascular diseases. However, uncertainty over the presence and nature of some of these associations exists. Analysis of data from large population based studies will help to resolve these uncertainties. The QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) retinal image analysis system allows automated processing of large numbers of retinal images. However, an image quality assessment module is needed to achieve full automation. In this paper, we propose such an algorithm, which uses the segmented vessel map to determine the suitability of retinal images for use in the creation of vessel morphometric data suitable for epidemiological studies. This includes an effective 3-dimensional feature set and support vector machine classification. A random subset of 800 retinal images from UK Biobank (a large prospective study of 500,000 middle aged adults; where 68,151 underwent retinal imaging) was used to examine the performance of the image quality algorithm. The algorithm achieved a sensitivity of 95.33% and a specificity of 91.13% for the detection of inadequate images. The strong performance of this image quality algorithm will make rapid automated analysis of vascular morphometry feasible on the entire UK Biobank dataset (and other large retinal datasets), with minimal operator involvement, and at low cost.