Editorial: Accuracy of data reduction systems for diagnosis and quantification of arrhythmias.
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Arrhythmias, Cardiac↗
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Results for “Data Accuracy”
Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.
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Accuracy of data based on hospital discharge diagnoses.
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Diagnosis↗
Features versus redundancy: comments on Massaro, Venezky, and Taylor's "Orthographic regularity, positional frequency, and visual processing of letter strings".
Massaro, Venezky, and Taylor (1979) found only a modest effect of familiarity on letter search, apparently because they pitted pseudowords (rather than real words) against nonwords and used lowercase rather than uppercase letters. Precuing the target letter seemed to reduce the familiarity effect they found yet further, but this conclusion is clouded by the fact that reaction time data were compared with accuracy data. Because similarity between target and nontarget letters tended to have more of an effect when familiarity had less of an effect. Massaro et al. proposed a successive model, with features being detected in the first stage and orthographic structure being used in a second stage. However, a concurrent model, with a self-terminating race between lower and higher level processes, can account for the data just as well. Data from Massaro et al. and from Krueger decisively demonstrate that there is a familiarity effect based on sequential redundancy over and above any effect based on spatial redundancy (Mason 1975). The Massaro et al. data also indicate that the relative familiarity effect is constant across various age groups (Krueger, Keen & Rublevich, 1974).
Cues↗
Artificial intelligence in molecular diagnostics for pandemic preparedness.
INTRODUCTION: Molecular diagnostics focusing on the detection and analysis of nucleic acids are indispensable tools for early pathogen identification, transmission monitoring, and genomic surveillance during pandemics. Recent technological advances have broadened the diagnostic landscape, incorporating PCR-based methods, isothermal amplification, high-CRISPR-based amplification detection, and sequencing. Despite their diagnostic potential, widespread implementation remains limited by high validation costs, time and logistical constraints, the need for specialized professional knowledge, and a lack of adaptability in resource-limited settings. Artificial intelligence (AI) is increasingly recognized as a promising but challenging approach, offering tools that streamline assay development, automate data interpretation, and optimize real-time diagnostic performance. AREAS COVERED: This review introduces recently published AI tools with potential to enhance the in-silico design validation process of oligonucleotides for molecular assays. These cover tools for initial assay design and optimization to validation and continuous assay updates. The limitations, including concerns regarding data accuracy, the lack of transparency in data processing ('black box' models), and unresolved licensing and regulatory issues, are highlighted for each tool and as expert opinion. EXPERT OPINION: Collectively, these challenges currently confine most AI-based approaches to research settings and prevent their routine implementation in clinical molecular diagnostics. Their widespread adoption depends on addressing remaining technical, regulatory, and practical challenges.
Humans↗
IUPAC gas chromatographic method for determination of fatty acid composition: collaborative study.
An international collaborative study of IUPAC methods II.D.19 and II.D.25 for preparation and GLC analysis of fatty acid methyl esters was begun in 1976. The IUPAC methodology, applicable to animal and vegetable oils and fats and fatty acids from all sources, contains special instructions for preparation and analysis of methyl esters of fatty acids containing 4 or more carbon atoms (analysis of milk fat). Twenty-three collaborators participated in the analysis of 5 known mixtures, 4 vegetable oils, 1 fish oil, and 2 butterfats. Several blind duplicate samples were included. The experimental data were subjected to statistical analysis to examine intra- and interlaboratory variation. Reproducibility and accuracy data for the higher fatty acid (14:0-22:1) mixtures and fish and vegetable oils were satisfactory and were in good agreement with results from an AOCS Smalley Committee check sample program involving analysis of the same samples. Typical coefficients of variation (%) at various concentrations were 15 (2% level), 8.5 (5% level), 7 (10% level), and 3 (50% level). Low recoveries and poor reproducibility were characteristics of results obtained for butyric acid in the butterfat and related known mixtures. A coefficient of variation of about 19% was found for analysis of butyric acid in butterfat, vs coefficients of variation in the range of 4-13% for similar levels of other components in butterfat and other samples. The IUPAC methodology for GLC analysis of fats and oils other than milk fats has been adopted by the AOAC as official first action to replace the current GLC method, 28.063-28.067.
Animals↗
Mass balance: a quantitative guide to clinical nutritional therapy. I. The predialysis patient with renal disease.
Mass balance principles can be readily applied to the patient with chronic renal failure for the more structured management of his/her nutritional and clinical course. Urine values provide valuable information with respect to rates of protein catabolism and sodium intake; creatinine excretion rates provide a ready check on data accuracy and lean body mass; urea and creatinine clearance can be calculated, if blood levels of these solutes are known. With accurate data on creatinine generation and the ratio of urea to creatinine clearance, creatinine clearance, urea generation, and protein catabolism rates can be estimated from blood levels alone. These techniques then provide quantitative guidance for the nutritional/medical staff in its efforts to control the clinical course of the patient with severly diminished renal function.
Acute Kidney Injury↗
An interlaboratory comparison of serum total protein analyses.
An analysis of the 1976 CAP Comprehensive Chemistry Survey of total serum proteins is presented. More than 2,000 laboratories contributed data in this survey. Estimation of total serum protein concentration by the biuret reaction remains the most widely used technic, followed by refractometry. Precision and accuracy data for a number of analytic systems and methods are presented. Precisions for the entire group are nearly comparable. A negative bias for total protein concentration was shown by the SMAC.
Blood Chemical Analysis↗
Development of long-term care data systems. 20. Problems of data collection in long-term health care.
Data collection involves decisions of what to count, how to count, and what to do with the count. The first of these will be determined by the third, since it is the goals which decide what data should be collected. Ways of categorizing and classifying patients, services, treatments, and personnel in relation to long-term medical care must be formulated, and development of comparable data requires definition of baselines or units of observation. Many decision makers with widely varying interests will be competing for information, and to ensure timeliness and accuracy, data collection should be restricted to a minimum of simple, easily obtained, and unambiguous items. Routine reporting of events, periodic censuses relating to persons, and sample surveys all have advantages and limitations. Probably the most useful tools are long-term care registers, as they enable longitudinal studies of patient cohorts. Reliable but confidential means for linking personal records must be found and all records in the system must flow into a central collecting point.
Classification↗
A scheme for the evaluation of methods in clinical chemistry with particular application to those measuring enzyme activities. Part II: analysis of data and performance assessment.
Recommendations are made concerning the editing of day-to-day reproducibility data for establishment of precision in the evaluation of a clinical chemistry method. The concept of diagnostic and equalized diagnostic indices is introduced together with formulae for their generation from the usual precision and accuracy data acquired in method evaluations. These indices allow direct comparison of data obtained from procedures for measuring enzyme activities which employ a variety of experimental conditions and units in their protocols. The equalized diagnostic index permits assessment of the suitability of the normal range assignment. Permissible limits of variation (PLV) and permissible limits of discrepancy (PLD) have been developed empirically from detailed examination of data from method evaluations and proficiency testing surveys in the published literature. The application of the diagnostic indices and the two permissible limits of criteria have been illustrated using data from the assessment of 19 kits measuring CPK activity. The inconsistency of the correlation coefficient in method comparisons is confirmed.
Canada↗
The application of artificial intelligence in healthcare practice: A mapping review of systematic reviews.
Artificial intelligence (AI) is rapidly transforming healthcare practice, with growing evidence supporting its use in diagnosis, prognosis, treatment planning, and operational decision-making. The proliferation of systematic reviews in recent years underscores the need for an updated synthesis of the literature to inform research, policy, and practice. We searched PubMed, Web of Science, Scopus, IEEE Xplore, and CINAHL for systematic reviews and meta-analyses published between 2019 and February 2026. Eligible reviews focused on AI applications in healthcare practice, were peer-reviewed, and written in English. A total of 368 reviews met the inclusion criteria. Publication volume increased steadily, peaking in 2025. AI research was concentrated in high-density domains, such as radiology, oncology, and critical care. Across reviews, diagnostic imaging, electronic health record (EHR) data, and biomarkers/laboratory results accounted for 68% of training data sources, though newer data types, such as wearable device and sensor data, emerged from 2022 onward. Diagnosis, prognosis, and treatment comprised over 80% of AI applications, with novel uses emerging in recent years, such as AI-assisted clinical documentation (e.g., ambient documentation tools) and patient education. Ethical concerns were reported in 78.5% of reviews, with privacy, model accuracy, data and algorithmic bias, and explainability as recurrent themes. The proportion of reviews reporting ethical concerns increased from 2021 to 2025. AI applications in healthcare are expanding in scope, diversifying in data sources, and evolving toward novel clinical and operational uses. The human-centered AI or augmented intelligence paradigm, integrating computational precision with clinical expertise, holds significant promise but will require parallel advances in governance, regulatory frameworks, and ethical oversight to ensure safe adoption.
Artificial Intelligence↗
Performance of seven carbapenemase detection assays in Pseudomonas aeruginosa across different epidemiological settings: a multicenter cross-sectional study.
The detection of carbapenemases in Pseudomonas aeruginosa remains challenging due to a great variety of other resistance mechanisms, and most laboratories, therefore, do not test for them. This study aimed to comparatively evaluate seven phenotypic carbapenemase detection assays across three epidemiological settings. A total of 320 P. aeruginosa isolates from three German centers with varying carbapenemase prevalences (5.8%-51.4%), including 113 carbapenemase-producing isolates carrying VIM-2 (n = 58), NDM-1 (n = 19), and GIM-1 (n = 16), underwent whole-genome sequencing as reference to assess seven phenotypic carbapenemase-detection tests: modified- and modified-zinc-supplemented carbapenem inactivation method (mCIM and mzCIM), simplified carbapenem inactivation method (sCIM), Carba NP, imipenem-cloxacillin test (IC-4000), and two imipenem-EDTA disk assays. Of all confirmation assays, mzCIM and sCIM showed the best overall performance for carbapenemase detection (sensitivity/specificity: 100%/94.2% and 99.1%/92.8%), followed by mCIM (93.8%/96.1%). Carba NP achieved the highest specificity (99.0%), but the lowest sensitivity (85.8%). EDTA-based assays and IC-4000 were highly sensitive (96.5%-100%) but less specific (79.7%-87.0%). Negative predictive values were consistently high (≥98%-100%) across all assays and prevalence settings, whereas positive predictive values varied (72.5%-98.0%). Both mzCIM and sCIM exhibited robust performance for carbapenemase detection in P. aeruginosa, representing the most suitable approach across diverse epidemiological settings. Their high negative predictive values indicate that these assays are particularly effective for ruling out carbapenemase production. Furthermore, both assays are cost-effective, simple to perform, and can be readily implemented in any routine microbiology laboratory.IMPORTANCEThis study provides comparative diagnostic accuracy data for seven phenotypic carbapenemase detection assays in Pseudomonas aeruginosa (PA) across different prevalence settings. Modified-zinc-supplemented carbapenem inactivation method (mzCIM) and simplified carbapenem inactivation method (sCIM) are the most robust screening tools and show that local carbapenemase-producing P. aeruginosa (CP-PA) prevalence substantially influences the utility of all evaluated assays.
CIM↗
Sampling for organic chemicals in workplace atmospheres with porous polymer beads.
Porous polymer bead collection columns are frequently used in air pollution measurements. They are also useful for industrial hygiene applications when used with miniature personal pumps. Analytical procedures using this type of collection column are described which use thermal desorption for sample recovery followed by GC or GC/MS analysis. A means is shown to modify a gas chromatograph for this type of analysis. A technique which permits splitting of the collected sample is also described. Precision and accuracy data for recovery of nineteen chemicals are presented. Advantages of porous polymer bead procedures include high sensitivity (the total collected sample is analyzed), ease of sample handling and ability to analyze polar materials not recoverable from charcoal.
Adsorption↗
Kinetics of renin-antirenin reaction: micromethods for the assay of renin and antirenin.
Indirect micromethods were designed for the assay of human renin (lower limit 0.25 times 10-4 U and of antirenin to human renin (lower limit 3 times 10-4 U), with the rat used for the bioassay of the angiotensin produced by the action of renin on renin substrate. This made possible the assay of unusually small amounts (0.01 mu1) of serum for antirenin. The Michaelis-Menten concept of a dissociating complex can be applied to the antireninrenin reaction: the rate constants for the formation and for the breakdown of the complex were k1 equal to 1.65 (ml/U antirenin per min) and k3 equal to 1.97 times 10-3 (U inactivated renin/U antirenin per min), respectively; the apparent Michaelis constant was 12 times 10-4 (U renin/ml). A second method of analysis was also applied by assuming the formation of a rather tight complex, with antirenin functioning as an irreversible inactivator of renin. Both methods of analysis yielded practically the same rate constant (k1 equal to 1.65 and k1 equal to 1.71), but the treatment according to the Michaelis-Menten equation affords a slightly better fit of the experimental data (accuracy equal to plus or minus 15.5 percent) than the second method of calculation (accuracy equal to plus or minus 21.6 percent).
Angiotensin II↗
Method development and subsequent survey analysis of biological tissues for platinum, lead, and manganese content.
An emission spectrochemical method is described for the determination of trace quantities of platinum, lead, and manganese in biological tissues. Total energy burns in an argon-oxygen atmosphere are employed. Sample preparation, conditions of analysis, and preparation of standards are discussed. The precision of the method is consistently better than +/- 15%, and comparative analyses indicate comparable accuracies. Data obtained for experimental rat tissues and for selected autopsy tissues are presented.
Animals↗
A multicomponent, multipoint infrared ambient air monitor.
With the tremendous advances in electronics today, it is now possible to take existing analytical instruments and give then a "brain" so that many analytical procedures which were impossible or costly a few years ago can now be done with relative ease, at a fraction of the costs. This paper deals with a microcomputer-controlled air monitor which allows us to identify many different components at a multitude of different locations. System operation is explained as well as data accuracy as they relate to application in a plastics research pilot plant.
Air↗
Assessing Metal Ion Assignment Accuracy in Protein Data Bank Models via Elemental Spectroscopy.
Accurate representation of metal ions in macromolecular structures is critical for chemical interpretation, computational modeling, and machine-learning methods that rely on Protein Data Bank (PDB) entries. However, the elemental identity of metals modeled in crystallographic structures is often inferred indirectly and rarely validated experimentally. Here, we combine Particle Induced X-ray Emission (PIXE) and X-ray Fluorescence Spectroscopy (XRFS) to determine the elemental composition of protein samples used to generate 70 deposited metalloprotein crystal structures. By analyzing the original protein material employed for crystallization, but before the addition of crystallization buffer solutions, we assess whether the modeled metal ions in deposited structures are consistent with experimentally detectable elemental content. We find that in a majority of cases, the metals modeled in the corresponding PDB entries are inconsistent with the metals present in the protein samples before crystallization, or that additional metals are present but not represented in the structural models. Spectroscopic results were integrated with automated crystallographic validation metrics, including real-space Z-difference (RSZD) analysis and systematic rerefinement, to evaluate atomic-number mismatch at metal sites. PIXE and XRFS show strong agreement for dominant elemental signals and provide complementary, scalable approaches for identifying suspect metal assignments. This work does not address physiological or functional metalation but instead highlights a widespread data integrity issue in deposited macromolecular structures, PDB-wide. These results establish an experimentally corroborated link between elemental identity and crystallographic validation metrics, enabling the large-scale detection of chemically inconsistent annotations in structural databases used for computational modeling and machine learning.
Databases, Protein↗
Accuracy of birth certificate data for detecting facial cleft defects in Arkansas children.
A comparison of facial cleft defects reported on birth certificates during the period 1943 to 1974 that were reported on birth certificates was made with records maintained by the Arkansas Crippled Childrens Services (CCS). A total of 506 cases were reported of which 331 (65%) were recorded on the birth certificate. Moreover, the accuracy of the reporting was not good. Only 243 (48%) cleft malformations were correctly classified on the birth certificate. Birth certificate information is an inadequate measure of the true facial cleft occurrence in Arkansas. Caution must be exercised when this data source is used in epidemiological surveys because over one-third of such defects were not recorded. These findings serve to reemphasize the national need to improve the quality of such vital health statistics sources.
Arkansas↗
Statistical analysis of method comparison data. Testing normality.
A Lilliefors test of normality has been applied to data from precision and accuracy studies. Most data sets tested as non-normal. Simulation studies showed that the test is extremely sensitive to the rounded, narrowly distributed data that are typical of method performance studies in clinical chemistry. The Lilliefors test can be modified to be applicable to rounded data so that it gives fewer indications of non-normality. The authors conclude that the selection of a test of normality requires careful study of the properties of the test. Otherwise, the subsequent choice between parametric and nonparametric statistics may not be meaningful.
Chemistry, Clinical↗