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221
Utility of the joint index in newborn congenital heart disease screening
Published 2025-07-01“…The diagnostic sensitivity, accuracy, and negative predictive value of the combined group were 100%, 97.07%, and 100%, respectively. …”
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222
Deep learning-based prediction of nodal metastasis in lung cancer using endobronchial ultrasoundCentral MessagePerspective
Published 2024-12-01“…Results: SqueezeNet, with adaptive moment estimation, achieved a sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of 96.7% each after 300 epochs, whereas SqueezeNet with stochastic gradient descent achieved 91.1% each. …”
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223
The Role of the OLM CandID Real-Time PCR in the Invasive Candidiasis Diagnostic Surveillance in Intensive Care Unit Patients
Published 2025-03-01“…A sensitivity of 83.3%, a specificity of 94.3%, a positive predictive value of 87.5%, and a negative predictive value of 91.7% emerged for the PCR assay. …”
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224
A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data
Published 2025-04-01“…Sensitivity (recall), specificity, positive predictive value (PPV) (precision), negative predictive value, area under the receiver operating characteristic curve (AUC) and F1 measure were reported for each model. …”
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225
Accuracy of Individual Descriptors and Grading of Nodal Involvement by Axillary Ultrasound in Patients of Breast Cancer
Published 2013-01-01“…The most accurate descriptors to indicate nodal involvement were loss of hilar fat and hypoechoic internal echoes with specificity of 83% and positive predictive value of 92% each. The combination of descriptors of round shape with loss of hilar fat and hypoechoic internal echos had 100% specificity and positive predictive value. …”
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226
Total lymphocyte count as a tool for timing opportunistic infection prophylaxis in resource-limited settings: a study from India
Published 2010-10-01“…Methodology: Spearman correlation between CD4 count and TLC was assessed in patients attending the Anti-Retroviral Therapy (ART) centre at Mysore, India. Positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity of various TLC cut-offs were computed for CD4 counts < 200 cells/mm3. …”
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227
Differences in serum anti-PLA2R antibody determination in Uygur patients with idiopathic membranous nephropathy in Xinjiang
Published 2018-01-01“…Objective To detect the sensitivity and specificity of anti-PLA2 R antibodies in Uygur patient with idiopathic membranous nephropathy(IMN),understand whether the serum anti-PLA2 R antibody can be regarded as the biomarker in Uygur patients with IMN,then study whether there are differences in the expression of anti-PLA2 R antibody between Uygurs and other nationalities.Methods The clinic data of 29 IMN patients(test group)and 29 non-IMN patients(control group)in Uygurfrom November 2016 to May 2017 were collected.IMN was diagnosed by renal puncture biopsy.In the control group,there was IgA nephropathy,minimal lesion,focal periodic glomerular sclerosis and mesangial proliferative glomerulonephritis.The fasting blood in the morning was taken out on the second day after admission.The serum antiPLA2 R antibody was detected.Clinical data were estimated by ROC curve.Results The positive rate of anti-PLA2 R antibody in the test group was 58.62%(n=17/29),and that in the control group was 0.The sensitivity and specificity of serum anti-PLA2 R antibody in Uygur patients with IMN were 58.62% and 100%,95% confidence was[68.9-93.9],the positive predictive value was 100%,negative predictive value was 70.73%,and the coincidence was 79.31%.Conclusions The serum anti-PLA2 R antibody can be regarded as the biomarker in Uygur patients with IMN.The sensitivity and specificity of serum anti-PLA2 R antibody in Uygur patients with IMN may differ from those in other nationalities.…”
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228
Idiosyncratic Drug-Induced Liver Injury: From Pathogenesis to Risk Reduction
Published 2023-06-01“…The identification of the allele combinations associated with an increased risk of iDILI seems promising for enhancing the predictive value of genetic studies and may be used in personalised medicine.…”
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229
Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography
Published 2025-07-01“…The diagnostic accuracy was 90.58%, with an overall positive predictive value of 89% and an overall negative predictive value of 86%. …”
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230
Evaluating the concordance between Vesical Imaging Reporting and Data System scores and bladder tumor histopathology
Published 2025-01-01“…Sensitivity of the VI-RADS score was 100%; specificity was 23%; the negative predictive value was 100%; and the positive predictive value was 62%. …”
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231
A novel approach to overcome black box of AI for optical diagnosis in colonoscopy
Published 2025-07-01“…Comparative evaluation showed that niceAI had accuracy comparable to that of deep learning models (area under the curve, 0.946; accuracy, 0.883; sensitivity, 0.888; specificity, 0.879; positive predictive value, 0.893; negative predictive value, 0.872). …”
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232
Comparative Study of Cervical Pap Smear and Visual Inspection of The Cervix To Detect Premalignant Disease of The Cervix
Published 2020-06-01“…The result indicate that sensitivity rate was 16% for visual inspection method, specificity 71%, positive predictive value 3.13% and negative predictive value 93.9% to detect pre-cancerous lesion of the cervix. …”
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233
The usefulness of endoscopic ultrasonography in differentiation between benign and malignant gastric ulcer
Published 2016-01-01“…The total point score of ≥ 4 was the cut-off pointscore value which gave the best reliability parameters in the assessment of malignant ulcers: sensitivity of 70%, specificity of 95%, positive predictive value of 93.3%, negative predictive value of 76% and accuracy of 82.5%. …”
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234
Clinical utility of performing FAST scan in hemodynamically stable patients presenting with blunt abdominal trauma in level one trauma center
Published 2023-03-01“…A higher negative predictive value (NPV) (86.4%) compared to a positive predictive value (66.6%) and a high accuracy rate (84.8%) was observed. …”
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235
Investigating the Sensitivity and Specificity of Fine Needle Aspiration Cytology for Diagnosing Malignant Liver Tumors
Published 2025-04-01“…The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of FNAC in diagnosing malignant liver lesions in our center were 87.25%, 71.21% and 22.72% respectively. …”
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236
Four Node Sampling: Is It an Effective Alternative to Sentinel Lymph Node Biopsy in Low-resource Settings for Breast Cancer Management
Published 2025-05-01“…The performance of FNAS as an alternative to SLNB showed a sensitivity of 81%, specificity of 100%, positive predictive value of 100%, and negative predictive value (NPV) of 69%. …”
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237
P-ROSC, UB-ROSC, and RACA Scores in Predicting the Return of Spontaneous Circulation in Out-of-hospital Cardiac Arrest: A Retrospective Cohort
Published 2025-03-01“…The UB-ROSC score followed with an AUC of 0.72 (95% CI: 0.66–0.78), while the P-ROSC score had the lowest predictive value with an AUC of 0.64 (95% CI: 0.58–0.70). …”
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238
ECG features improve multimodal deep learning prediction of incident T2DM in a Middle Eastern cohort
Published 2025-07-01“…Furthermore, stratifying participants into Low-, Medium-, and High-risk categories revealed that ECG-DiaNet achieved a higher positive predictive value (PPV) in the high-risk group compared to CRF-only models. …”
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239
The effect of postoperative weight loss on difficult intubation in bariatric surgery patients: a prospective observational study
Published 2025-08-01“…ROC curve analysis was performed to evaluate the predictive value of preoperative parameters for difficult intubation. …”
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240
X-ray is not inferior to CT in terms of F1 score in the diagnosis of foreign body aspiration: a recall, precision and F1 score performance analysis based on bronchoscopically prove...
Published 2025-09-01“…Chest x-rays were found to exhibit 42 % sensitivity, 74 % specificity, a positive predictive value (PPV) of 61 %, a negative predictive value (NPV) of 51 %, accuracy of 66 %, precision: 0.63, recall: 0.82, and F1 score: 0.71. …”
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