Search results for "Computer Science"

showing 10 items of 22367 documents

The Valencia consensus-based adaptation of the IASP complex regional pain syndrome diagnostic criteria

2021

Refereed/Peer-reviewed The new IASP diagnostic criteria for complex regional pain syndrome (CRPS) (aka “the Budapest Criteria”3; Table 1) have improved the diagnostic specificity for CRPS while maintaining good sensitivity. Internationally, these criteria are now in common use. The IASP CRPS Special Interest Group convened a workshop of CRPS experts in Valencia/Spain in September 2019 to review perceived ambiguities in the diagnostic text and issues identified in applying these criteria in both the research and clinical contexts. After this review, workshop attendees discussed and reached a consensus regarding adaptations to the diagnostic taxonomy text. This process resulted in pragmatic u…

medicine.medical_specialtyConsensusMEDLINEComplex Regional Pain Syndromes/diagnosis610 Medicine & healthWorld Health OrganizationDiagnosis DifferentialPhysical medicine and rehabilitationInternational Classification of DiseasesMedicineHumansIASP diagnostic criteriaAdaptation (computer science)complex regional pain syndrome (CRPS)business.industrymedicine.diseaseAnesthesiology and Pain MedicineComplex regional pain syndrome2728 Neurology (clinical)Neurology2808 NeurologyPerspective10046 Balgrist University Hospital Swiss Spinal Cord Injury CenterNeurology (clinical)2703 Anesthesiology and Pain MedicineChronic PainbusinessComplex Regional Pain Syndromes
researchProduct

The crisis of psychiatry – insights and prospects from evolutionary theory

2012

Darwin’s emphasis on natural selection has had a transformative influence on how biological and medical sciences are conceptualized and conducted. However, the relevance of his ideas for the understanding of psychiatric conditions is still under-appreciated. Modern understanding of disease has required appreciation of the dialectical give and take between environmental influences, life history theory imperatives, human behavioral ecology, and characteristics of adaptive processes at all levels of the individual. This has enabled a better comprehension of metabolic disturbances, cancers, auto-immune disease, inherited anemias, and vulnerability to infectious disease 1. Here we propose that a…

medicine.medical_specialtyCoping (psychology)Adaptive valueNatural selectionComputer scienceCognitionLife history theoryComprehensionPsychiatry and Mental healthPerspectivemedicineTraitPshychiatric Mental HealthHuman behavioral ecologyPsychiatrySettore MED/25 - PsichiatriaWorld Psychiatry
researchProduct

Artificial intelligence: the unstoppable revolution in ophthalmology.

2020

Artificial Intelligence (AI) is an unstoppable force that is starting to permeate all aspects of our society as part of the revolution being brought into our lives (and into medicine) by the digital era, and accelerated by the current COVID-19 pandemic. As the population ages and developing countries move forward, AI-based systems may be a key asset in streamlining the screening, staging, and treatment planning of sight-threatening eye conditions, offloading the most tedious tasks from the experts, allowing for a greater population coverage, and bringing the best possible care to every patient. This paper presents a review of the state of the art of AI in the field of ophthalmology, focusin…

medicine.medical_specialtyCoronavirus disease 2019 (COVID-19)Digital eraComputer sciencePopulationAsset (computer security)Field (computer science)03 medical and health sciences0302 clinical medicineArtificial IntelligenceOphthalmologymedicineHumanseducationPandemicseducation.field_of_studybusiness.industrySARS-CoV-2Infant NewbornCOVID-19GlaucomaImage enhancementOphthalmology030221 ophthalmology & optometryArtificial intelligenceApplications of artificial intelligencebusiness030217 neurology & neurosurgeryStrengths and weaknessesSurvey of ophthalmology
researchProduct

Cost-effectiveness analysis of robot-assisted vs. open partial nephrectomy

2017

Background The cost-effectiveness of robot-assisted partial nephrectomy (RAPN) vs. the open procedure is not established. Methods We estimated in-hospital complications and the cost of RAPN vs. open partial nephrectomy (OPN) using an economic model. Costs incurred both intraoperatively and in hospital were considered. US data were extracted from existing literature. Results Mean in-hospital costs were $14,824 (95% CI $13,368-$16,898) for RAPN and $15,094 (95% CI $13,491-$17,140) for OPN. Complications after RAPN occurred in 23.3% (95% CI 20.0-25.8%) and after OPN in 36.1% (95% CI 35.6-36.6%) of the patients. In a sensitivity analysis, limited centre experience was associated with relevant i…

medicine.medical_specialtyCost-Benefit Analysismedicine.medical_treatment030232 urology & nephrologyBiophysicsNephrectomy03 medical and health sciencesPostoperative Complications0302 clinical medicineRobotic Surgical ProceduresmedicineHumansOpen partial nephrectomyHospital CostsComputer-assisted surgerybusiness.industryDecision TreesPerioperativeCost-effectiveness analysisNephrectomyComputer Science ApplicationsSurgeryModels EconomicTreatment Outcome030220 oncology & carcinogenesisSurgeryLower costbusinessThe International Journal of Medical Robotics and Computer Assisted Surgery
researchProduct

Neural Networks Ensemble for Cyclosporine Concentration Monitoring

2001

This paper proposes the use of neural networks ensemble for predicting the cyclosporine A (CyA)concen tration in kidney transplant patients. In order to optimize clinical outcomes and to reduce the cost associated with patient care, accurate prediction of CyA concentrations is the main objective of therapeutic drug monitoring. Thirty-two renal allograft patients and different factors (age, weight, gender, creatinine and post-transplantation days, together with past dosages and concentrations)w ere studied to obtain the best models. Three kinds of networks (multilayer perceptron, FIR network, Elman recurrent network) and the formation of neural-network ensembles were used. The FIR network, y…

medicine.medical_specialtyCreatininemedicine.diagnostic_testArtificial neural networkComputer sciencebusiness.industryUrologyCiclosporinmedicine.diseaseMachine learningcomputer.software_genreKidney transplantchemistry.chemical_compoundchemistryTherapeutic drug monitoringMultilayer perceptronmedicineRenal allograftArtificial intelligencebusinesscomputerKidney transplantationmedicine.drug
researchProduct

P028 The Apa I polymorphism in the Vitamin D receptor gene is associated with a stricturing behaviour in Crohn′s disease patients

2021

Abstract Background Vitamin D receptor (VDR) is a member of the nuclear receptor family of transcription factors that plays an immunomodulatory role in the gastrointestinal tract through binding Vitamin D. Single-nucleotide polymorphisms (SNPs) in the VDR gene have been related to inflammatory bowel disease. Indeed, Crohn′s disease (CD) patients carrying the Taq I polymorphism in VDR gene run a higher risk of developing a penetrating behaviour. We analyse here the association between the VDR SNPs Taq I, Bsm I, Apa I and Fok I and the clinical characteristics of CD. Methods DNA was extracted from blood samples from 80 patients diagnosed with CD from the Hospital of Manises (Valencia). Four p…

medicine.medical_specialtyCrohn's diseasebusiness.industryGastroenterologySingle-nucleotide polymorphismGeneral Medicinemedicine.diseaseInflammatory bowel diseaseGastroenterologyVitamin D3 ReceptorPolymorphism (computer science)Internal medicineGenotypemedicineVitamin D and neurologyAllelebusinessJournal of Crohn's and Colitis
researchProduct

A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation

2015

PurposeMagnetic Resonance guided Focused UltraSound (MRgFUS) represents a non-invasive surgical approach that uses thermal ablation to treat uterine fibroids. After the MRgFUS treatment, an operator must manually segment the treated fibroid areas to evaluate the NonPerfused Volume (NPV). This manual approach is operator-dependent, introducing issues of result reproducibility, which could lead to errors in the subsequent follow-up phase. Moreover, manual segmentation is time-consuming, and can have a negative impact on the optimization of both machine-time and operator-time. MethodTo address these issues, in this paper a novel fully automatic method based on the unsupervised Fuzzy C-Means cl…

medicine.medical_specialtyDatabases FactualUterine fibroidsComputer scienceAdaptive thresholdingImage ProcessingAdaptive thresholding; Automatic segmentation; Fuzzy C-Means clustering; MRgFUS treatment; Uterine fibroids; Female; Humans; Image Processing Computer-Assisted; Leiomyoma; Radiography; Algorithms; Databases Factual; Magnetic Resonance Imaging; Ultrasonography InterventionalHealth InformaticsFuzzy logicDatabasesComputer-AssistedImage Processing Computer-AssistedmedicineHumansSegmentationCluster analysisFactualUltrasonography InterventionalUltrasonographySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInterventionalLeiomyomaPixelbusiness.industryPattern recognitionmedicine.diseaseMagnetic Resonance ImagingFuzzy C-Means clusteringComputer Science ApplicationsSurgeryRadiographyTreatment evaluationMRgFUS treatmentFully automaticFemaleManual segmentationArtificial intelligenceAutomatic segmentationAdaptive thresholding Automatic segmentation Fuzzy C-Means clustering MRgFUS treatment Uterine fibroidsbusinessAlgorithmsUterine fibroids
researchProduct

Off-line control of the postprandial glycemia in type 1 diabetes patients by a fuzzy logic decision support

2012

The target of this paper is to describe the use of fuzzy techniques in the development of a decision support system that allows the optimization of postprandial glycemia in type 1 diabetes patients taking into account the kind of meal taken by patients, the preprandial glycemia and the insulin resistance (the response of the body to insulin dose injection therapy). The decision support system can, in many cases, provide patients with the correct number of rapid insulin units that must be assumed to assure an optimal glycemic profile, keeping the blood glucose level close to the homeostatic condition, several hours after the meal.

medicine.medical_specialtyDecision support systemType 1 diabetesAdaptive neuro fuzzy inference systembusiness.industryInsulinmedicine.medical_treatmentdigestive oral and skin physiologyGeneral Engineeringmedicine.diseaseFuzzy logicComputer Science ApplicationsInsulin resistancePostprandialArtificial IntelligencemedicineIntensive care medicinebusinessGlycemicExpert Systems with Applications
researchProduct

Thermographic imaging in sports and exercise medicine:a Delphi study and consensus statement on the measurement of human skin temperature

2017

© 2017 Elsevier Ltd The importance of using infrared thermography (IRT) to assess skin temperature (t sk ) is increasing in clinical settings. Recently, its use has been increasing in sports and exercise medicine; however, no consensus guideline exists to address the methods for collecting data in such situations. The aim of this study was to develop a checklist for the collection of t sk using IRT in sports and exercise medicine. We carried out a Delphi study to set a checklist based on consensus agreement from leading experts in the field. Panelists (n  =  24) representing the areas of sport science (n = 8; 33%), physiology (n = 7; 29%), physiotherapy (n = 3; 13%) and medicine (n = 6; 25%…

medicine.medical_specialtyDelphi TechniquePhysiologySports scienceDelphi methodGuidelineSports MedicineBiochemistryThermoregulation03 medical and health sciences0302 clinical medicineThermographic imagingmedicineProtocolAnimalsHumansMedical physicsExercisecomputer.programming_languageStatement (computer science)business.industrySkin temperature030229 sport sciencesChecklistExercise TherapyChecklistChecklist; Guideline; Infrared thermography; Protocol; ThermoregulationThermographyInfrared thermography/dk/atira/pure/core/subjects/sportsciSkin TemperatureGeneral Agricultural and Biological Sciencesbusinesscomputer030217 neurology & neurosurgeryDelphiConsensus guidelineBody Temperature RegulationDevelopmental BiologySports and Exercise Sciences
researchProduct

HDR Imaging Pipeline for Spectral Filter Array Cameras

2017

Multispectral single shot imaging systems can benefit computer vision applications in needs of a compact and affordable imaging system. Spectral filter arrays technology meets the requirement, but can lead to artifacts due to inhomogeneous intensity levels between spectral channels due to filter manufacturing constraints, illumination and object properties. One solution to solve this problem is to use high dynamic range imaging techniques on these sensors. We define a spectral imaging pipeline that incorporates high dynamic range, demosaicing and color image visualization. Qualitative evaluation is based on real images captured with a prototype of spectral filter array sensor in the visible…

medicine.medical_specialtyDemosaicingColor imageComputer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunications02 engineering and technologyReal imageSpectral imagingHigh-dynamic-range imagingFilter (video)Computer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessHigh dynamic range
researchProduct