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  1. 221

    Utility of the joint index in newborn congenital heart disease screening by Mengwen Li, Dan He, Tingting Peng, Rui Liu, Binzhi Tang

    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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  2. 222

    Deep learning-based prediction of nodal metastasis in lung cancer using endobronchial ultrasoundCentral MessagePerspective by Tsukasa Ishiwata, MD, PhD, Terunaga Inage, MD, PhD, Masato Aragaki, MD, PhD, Alexander Gregor, MD, PhD, Zhenchian Chen, MD, Nicholas Bernards, PhD, Kamran Kafi, MD, Kazuhiro Yasufuku, MD, PhD

    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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  3. 223

    The Role of the OLM CandID Real-Time PCR in the Invasive Candidiasis Diagnostic Surveillance in Intensive Care Unit Patients by Laura Trovato, Maddalena Calvo, Concetta Ilenia Palermo, Maria Rita Valenti, Guido Scalia

    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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  4. 224

    A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data by Zhou Hao Leong, Shaun Ray Han Loh, Leong Chai Leow, Thun How Ong, Song Tar Toh

    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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  5. 225

    Accuracy of Individual Descriptors and Grading of Nodal Involvement by Axillary Ultrasound in Patients of Breast Cancer by Navneet Kaur, Pradeep Sharma, Akhil Garg, Anupama Tandon

    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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  6. 226

    Total lymphocyte count as a tool for timing opportunistic infection prophylaxis in resource-limited settings: a study from India by Sreenivasan Srirangaraj, Dasegowda Venkatesha

    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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  7. 227

    Differences in serum anti-PLA2R antibody determination in Uygur patients with idiopathic membranous nephropathy in Xinjiang by ZHANG Jin, LU Chen, ZHANG Jing-jing

    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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  8. 228

    Idiosyncratic Drug-Induced Liver Injury: From Pathogenesis to Risk Reduction by I. A. Mazerkina

    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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  9. 229

    Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

    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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  10. 230

    Evaluating the concordance between Vesical Imaging Reporting and Data System scores and bladder tumor histopathology by Hasan Gungor, Ahmet Camtosun, Ibrahim Topcu, Leyla Karaca

    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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  11. 231

    A novel approach to overcome black box of AI for optical diagnosis in colonoscopy by Youmin Shin, Jung Ho Bae, Jung Kim, Jinwook Choi, Young-Gon Kim

    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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  12. 232

    Comparative Study of Cervical Pap Smear and Visual Inspection of The Cervix To Detect Premalignant Disease of The Cervix by Rozhan Yassin Khalil, Khanda Abdolrahman Qader

    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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  13. 233

    The usefulness of endoscopic ultrasonography in differentiation between benign and malignant gastric ulcer by Roganović Branka, Perišić Nenad, Roganović Ana

    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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  14. 234

    Clinical utility of performing FAST scan in hemodynamically stable patients presenting with blunt abdominal trauma in level one trauma center by Shaikha Khaled Almansoor, Reem Hamed Althawadi, Thamer Abduljabbar Alabbasi, Salah Ali Al-Ghanem

    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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  15. 235

    Investigating the Sensitivity and Specificity of Fine Needle Aspiration Cytology for Diagnosing Malignant Liver Tumors by Paheli Maru, Vibha R Vyas, Varnika Rai, Shilpa Kapoor, Samanta Satarupa

    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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  16. 236

    Four Node Sampling: Is It an Effective Alternative to Sentinel Lymph Node Biopsy in Low-resource Settings for Breast Cancer Management by Sreehari Pothina, Manisha Sharma, Puneet Takkar, Parameswar Reddy Gadikota

    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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  17. 237

    P-ROSC, UB-ROSC, and RACA Scores in Predicting the Return of Spontaneous Circulation in Out-of-hospital Cardiac Arrest: A Retrospective Cohort by Tanakorn Janbavonkij, Chaiyaporn Yuksen, Kasamon Aramvanitch, Pitsucha Sanguanwit, Thanakorn Laksanamapune, Chetsadakon Jenpanitpong, Thavinee Trainarongsakul, Suteenun Seesuklom

    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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  18. 238

    ECG features improve multimodal deep learning prediction of incident T2DM in a Middle Eastern cohort by Farida Mohsen, Ali Safa, Zubair Shah

    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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  19. 239

    The effect of postoperative weight loss on difficult intubation in bariatric surgery patients: a prospective observational study by Bahar Uslu Bayhan, Kazım Ersin Altınsoy

    Published 2025-08-01
    “…ROC curve analysis was performed to evaluate the predictive value of preoperative parameters for difficult intubation. …”
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  20. 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... by Fatma Sarac, Mehmet Yazici

    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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