Search results for "artificial"

showing 10 items of 7394 documents

The accuracy and reproducibility of the endometrial receptivity array is superior to histology as a diagnostic method for endometrial receptivity

2013

Objective To compare the accuracy and reproducibility of the endometrial receptivity array (ERA) versus standard histologic methods. Design A comparative prospective study (May 2008–May 2012). Setting University-affiliated infertility clinic. Patient(s) Eighty-six healthy oocyte donors, regularly cycling, aged 20–34 years with a body mass index (BMI) of 19–25 kg/m 2 . Intervention(s) Endometrial biopsies were collected throughout the menstrual cycle. For the accuracy study, 79 samples were grouped into two cohorts: the training set (n = 79) for ERA machine-learning training and dating, and a dating subset (n = 49) for comparison between histologic and ERA dating. For the reproducibility stu…

Adultmedicine.medical_specialtyDiagnostic methodsBiopsyConcordancemedia_common.quotation_subjectSensitivity and SpecificityEndometriumYoung AdultArtificial IntelligencemedicineHumansDiagnosis Computer-AssistedProspective cohort studyMenstrual cyclemedia_commonGynecologyOvulation DetectionReproducibilitybusiness.industryReproducibility of ResultsObstetrics and GynecologyHistologyReproductive MedicineFemaleEndometrial receptivitybusinessBody mass indexBiomarkersFertility and Sterility
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Inter-cycle and inter-observer variability of the antral follicle count in routine clinical practice

2017

Antral follicle count (AFC) is a reliable predictor of ovarian response to stimulation and its inter-cycle and inter-observer variability has been extensively studied on in vitro fertilization (IVF), mostly in highly selected populations within studies not originally designed for this purpose. In this retrospective cohort study, we assess the inter-cycle variation of AFC in a setting similar to that of the daily practice. We included only patients undergoing mild stimulation for intrauterine insemination (IUI). One hundred and forty-eight patients had two (62 patients, group A), three (49 patients, group B) or four (37 patients, group C) IUI cycles and AFC was measured on early follicular p…

Adultmedicine.medical_specialtyEndocrinology Diabetes and MetabolismConcordancemedicine.medical_treatmentCell Count030209 endocrinology & metabolismGroup BYoung Adult03 medical and health sciences0302 clinical medicineEndocrinologyOvarian FollicleOvulation InductionInternal medicinemedicineHumansRoutine clinical practiceOvarian ReserveOvarian reserveInsemination ArtificialMenstrual CycleRetrospective StudiesUltrasonographyObserver VariationGynecology030219 obstetrics & reproductive medicineIn vitro fertilisationbusiness.industryObstetrics and GynecologyRetrospective cohort studyAntral follicleFemalebusinessObserver variationGynecological Endocrinology
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Accuracy of delivered versus preset minute ventilation of portable emergency ventilators.

1989

The accuracy of delivered minute volume (VE) ventilation of portable emergency ventilators (PEV) was evaluated. Five PEV from three manufacturers were adapted to an artificial lung for varying compliance and resistance. Each PEV was tested in the "no airmix" (pure oxygen) and "airmix" (approximately 60% oxygen) setting at different frequencies and VE. Measurement of delivered VE (VEdel) was made using a pneumotachograph and digital integration of the flow values greater than 1 min (maximal error +/- 2%). Maximal inspiratory pressure (Pinsp) was measured with a transducer. Two PEV from one manufacturer produced severe hyperventilation when used at low VE (i.e., in children). Two other PEV fr…

Adultmedicine.medical_specialtyPure oxygenCritical Care and Intensive Care MedicinepCO2Artificial lunglaw.inventionlawHyperventilationmedicineHumansHyperventilationChildVentilators Mechanicalbusiness.industryHypoventilationSurgeryHypoventilationEvaluation Studies as TopicAnesthesiaVentilation (architecture)Arterial bloodmedicine.symptomEmergenciesbusinessRespiratory minute volumeCritical care medicine
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Modular reorganization of gait in chronic but not in artificial knee joint constraint

2021

It is currently unknown if modular reorganization does occur if not the central nervous system, but the musculoskeletal system is affected. The aims of this study were to investigate 1) the effects of an artificial knee joint constraint on the modular organization of gait in healthy subjects; and 2) the differences in modular organization between healthy subjects with an artificial knee joint constraint and people with a similar but chronic knee joint constraint. Eleven healthy subjects and eight people with a chronic knee joint constraint walked overground at 1 m/s. The healthy subjects also walked with a constraint limiting knee joint movement to 20_. The total variance accounted (tVAF) f…

Adultmusculoskeletal diseasesmedicine.medical_specialtyPhysiologyComputer scienceKnee JointArtificial kneeMuscle synergyPhysical medicine and rehabilitationGait (human)Motor controlmedicineHumansLower limb kinematicsRange of Motion ArticularMuscle Skeletalbusiness.industryGeneral NeuroscienceLower limb kinematicsMotor controlMiddle AgedModular designKnee jointBiomechanical PhenomenaConstraint (information theory)Gait analysisGait analysisKnee Prosthesisbusinesshuman activities
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Eye position tunes the contribution of allocentric and egocentric information to target localization in human goal-directed arm movements.

1997

Subjects were required to point to the distant vertex of the closed and the open configurations of the Muller-Lyer illusion using either their right hand (experiment 1) or their left hand (experiment 2). In both experiments the Muller-Lyer figures were horizontally presented either in the left or in the right hemispace and movements were executed using either foveal or peripheral vision of the target. According to the illusion effect, subjects undershot and overshot the vertex location of the closed and the open configuration, respectively. The illusion effect decreased when the target was fixated and when the stimulus was positioned in the right hemispace. These results confirm the hypothe…

Adultright cerebral hemisphereEye Movementsmedia_common.quotation_subjectArm; psychomotor performance; illusions; dominance cerebral; video recording; eye movements; adult; humansIllusionVideo RecordingPoison controlStimulus (physiology)dominanceSettore BIO/09FovealPerceptionHumansComputer visioneye positionDominance Cerebralpointing kinematicsmedia_commonCommunicationbusiness.industryGeneral NeuroscienceMüller-Lyer illusionBody movementIllusionsPeripheral visionArmcerebralegocentric and allocentric frame of referenceArtificial intelligenceMuller-Lyer illusionPsychologybusinessPsychomotor PerformanceNeuroscience letters
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A Graph-Grammar Approach to Represent Causal, Temporal and Other Contexts in an Oncological Patient Record

1996

AbstractThe data of a patient undergoing complex diagnostic and therapeutic procedures do not only form a simple chronology of events, but are closely related in many ways. Such data contexts include causal or temporal relationships, they express inconsistencies and revision processes, or describe patient-specific heuristics. The knowledge of data contexts supports the retrospective understanding of the medical decision-making process and is a valuable base for further treatment. Conventional data models usually neglect the problem of context knowledge, or simply use free text which is not processed by the program. In connection with the development of the knowledge-based system THEMPO (The…

Advanced and Specialized NursingGrammarbusiness.industrymedia_common.quotation_subjectHealth InformaticsPatient recordcomputer.software_genreGraphical toolsData modelingNeglectHealth Information ManagementPediatric oncologyMedicineGraph (abstract data type)Artificial intelligencebusinessHeuristicscomputerNatural language processingmedia_commonMethods of Information in Medicine
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Quantifying stenosis in renal arteriograms: a fuzzy syntactic analysis.

1999

AbstractThe introduction of fuzzy logic improves a system for the automatic quantification of renal artery lesions seen in digital subtraction angiograms. A two-step approach has been followed. An earlier system based on non-fuzzy syntactic analysis provided a clear symbolic description of the stenotic lesions. Although this system worked correctly, it did not take into account the variability and uncertainty inherent to image processing and to knowledge on the reference diameter. This system has been improved by the introduction of fuzzy logic in the representation of the reference diameter. It provides a description of the stenosis in terms of fuzzy quantities. To illustrate the benefits …

Advanced and Specialized NursingParsingbusiness.industrySubtractionAngiography Digital SubtractionHealth InformaticsPattern recognitionImage processingRenal Artery Obstructioncomputer.software_genremedicine.diseaseSymbolic descriptionFuzzy logicStenosisDigital imageRenal ArteryFuzzy LogicHealth Information ManagementmedicineHumansRadiographic Image Interpretation Computer-AssistedArtificial intelligenceRepresentation (mathematics)businesscomputer
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Patient-Reported Outcomes and Continuous Glucose Monitoring: Can We Do Better With Artificial Pancreas Devices?

2015

Patient-reported outcomes (PROs) assess a person’s experience, feelings, and thoughts about both their condition and its treatment. PROs are able to contribute to a benefit assessment of new medical products by introducing the patients’ subjective evaluation of medical products into the evaluation process. Thus, PROs are also the cornerstone of medical product development for understanding patients’ perceptions on medical products and/or its benefit assessment. In the past 15 years, PROs were also evaluated in most clinical trials performed with continuous glucose monitoring systems. However, in its recent evaluation of such trials, the German Institute for Quality and Efficiency in Health …

Advanced and Specialized Nursingmedicine.medical_specialtyContinuous glucose monitoringbusiness.industryEndocrinology Diabetes and Metabolismmedia_common.quotation_subjecteducationArtificial pancreashumanitiesClinical trialFeelingMedical productHealth careInternal MedicineMedicineQuality (business)businessIntensive care medicinemedia_commonDiabetes Care
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A Novel Deep Learning Stack for APT Detection

2019

We present a novel Deep Learning (DL) stack for detecting Advanced Persistent threat (APT) attacks. This model is based on a theoretical approach where an APT is observed as a multi-vector multi-stage attack with a continuous strategic campaign. To capture these attacks, the entire network flow and particularly raw data must be used as an input for the detection process. By combining different types of tailored DL-methods, it is possible to capture certain types of anomalies and behaviour. Our method essentially breaks down a bigger problem into smaller tasks, tries to solve these sequentially and finally returns a conclusive result. This concept paper outlines, for example, the problems an…

Advanced persistent threatProcess (engineering)Computer science020209 energyDistributed computing02 engineering and technologylcsh:Technologylcsh:ChemistryStack (abstract data type)020204 information systemsAdvanced Persistent Thread (APT)0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencetietoturvalcsh:QH301-705.5Instrumentationta113Fluid Flow and Transfer Processeslcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningGeneral EngineeringFlow networklcsh:QC1-999Computer Science Applicationsnetwork anomaly detectionkoneoppiminenlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Deep Learning (DL)Artificial intelligencelcsh:Engineering (General). Civil engineering (General)Raw databusinessverkkohyökkäyksetlcsh:Physics
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State of the Art Literature Review on Network Anomaly Detection with Deep Learning

2018

As network attacks are evolving along with extreme growth in the amount of data that is present in networks, there is a significant need for faster and more effective anomaly detection methods. Even though current systems perform well when identifying known attacks, previously unknown attacks are still difficult to identify under occurrence. To emphasize, attacks that might have more than one ongoing attack vectors in one network at the same time, or also known as APT (Advanced Persistent Threat) attack, may be hardly notable since it masquerades itself as legitimate traffic. Furthermore, with the help of hiding functionality, this type of attack can even hide in a network for years. Additi…

Advanced persistent threatbusiness.industryComputer scienceDeep learningdeep learning020206 networking & telecommunications02 engineering and technologyComputer securitycomputer.software_genrenetwork anomaly detectionkoneoppiminen0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAnomaly detectionState (computer science)Artificial intelligencetietoturvabusinessverkkohyökkäyksetcomputer
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