“…Further analysis using sequencing data as ground truth suggested that imputation software may over-estimate imputation accuracy for non-European populations than European populations, suggesting further disparity between populations. …”
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“…Registration of the scans was performed via age-specific pediatric atlases, followed by skull stripping and bias correction. Ground truth annotations for tumor sub-compartments; enhancing tumor, edema, and non-enhancing tumor, were generated by two experienced radiologists. …”
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“…Most state-of-the-art demosaicking algorithms require ground-truth training data with paired snapshot and high-resolution hyperspectral images, but such imagery pairs with the exact same scene are physically impossible to acquire in intraoperative settings. …”
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“…There were several individual questions where the professional language groups had statistically significantly higher HCR trust scores than the ad hoc interpreter group in terms of their trust in specific instances, i.e., involving the patient in discussing treatment options, making the patient feel worthy of the doctor’s time, and their doctor telling them the whole truth. There were no differences in overall mean scores or individual scores for the two professional language groups (language concordant providers and professional interpreters). …”
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“…The field of radiology should not give up principles from the diagnostic accuracy studies, such as the choice for the correct ground truth, just because AI is used. Clear and complete reporting of the reference standard used would help radiologists trust in the performance that AI models claim to have. …”
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“…Manually labelled landmarks and alignment parameters by our spine surgeons were considered as the ground truth (GT). Images from training and internal validation cohorts (n = 1936) were used to develop the deep learning models. …”
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“…CONCLUSION: Compared to other models, the person correlation coefficient between the predicted values of protein fitness obtained by T-VAE and the truth values was higher, and the mean absolute deviation was lower. …”
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“…By Surf-X-Bio, the mean (±s.d.) 95-percentile Hausdorff distance of the liver boundary from the ‘ground-truth’ decreased from 9.8 (±4.5) (before motion estimation) to 2.4 (±1.6) mm. …”
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“…Many communities have implemented multi-professional collaborative models so that the victim’s well-being is assured and the truth is established. However, there is a general lack of evidence on how to best articulate these teams with the healthcare professionals caring for the survivors. …”
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“…This accuracy is in the range of individual annotators, reaching an average accuracy of 88% compared to the ground truth majority vote. For classifying symptom severity, the algorithm reached an accuracy of 74%. …”
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“…To develop this framework, we explored various sample processing and analysis approaches using a designed microbiome where the identity of labeled genomes and their level of isotopic enrichment were experimentally controlled. With this ground truth dataset, we empirically assessed the accuracy of different analytical models for identifying active taxa and examined how sequencing depth impacts the detection of isotopically labeled genomes. …”
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“…The trained models were then evaluated for their performance on a test data set (20% of the data) by comparing the predicted dose distributions against the ground‐truth using dose statistics and dose‐volume indices. …”
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“…The intersection over union (IoU), as a measure of accuracy, was calculated to quantify the degree of similarity between the annotated ground truth and the model predictions. RESULTS: The model achieved accurate teeth segmentations with a mean IoU score of 0.915. …”
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“…The IU performance is satisfactory, as these values are in accordance with the statistical average/standard deviation in pixels for line fitting (2.75/1.01) and for significant point detection (2.63/1.28) according to the expert criteria of dentists, who establish the ground-truth lines and significant points. In conclusion, AI methods have good prospects for automatic bone loss detection in intraoral radiographs to assist dental specialists in diagnosing peri-implantitis.…”
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“…The oncologists delineated regions of interest (ROIs) on planning CT images as the ground truth, including clinical target volume (CTV), bladder, small intestine, and femoral heads. …”
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“…The extraction results of DME-DeepLabV3+ were close to ground truth. In comparative experiment, the proposed DME-DeepLabV3+ model was compared against other models, including FCN, UNet, PSPNet, ICNet, and DANet, to evaluate DME extraction performance. …”
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“…The neuroradiologist with the most experience (expert A) served as the ground truth for deep learning model training. Two additional neuroradiologists’ (experts B and C) segmentations were used for data testing. …”
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“…The means and standard deviations of the volume estimation errors, relative to estimates from ground-truth clinician annotations, were [Formula: see text]  ml and [Formula: see text]  ml, respectively. …”
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“…Manually determined masks by experts were used as ground truth to assess the performance of the deep learning model. …”
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“…Digital health platforms were the largest providers of MHI data. Ground truth for supervised learning models was based on clinician ratings (n = 31), patient self-report (n = 29) and annotations by raters (n = 26). …”
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