AIMC Topic: Sensitivity and Specificity

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Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study.

Journal of medical Internet research Dec 23, 2022
BACKGROUND: The global burden of influenza is substantial. It is a major disease that causes annual epidemics and occasionally, pandemics. Given that influenza primarily infects the upper respiratory system, it may be possible to diagnose influenza i...
Humans Artificial Intelligence Deep Learning ROC Curve Influenza, Human Retrospective Studies Sensitivity and Specificity
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Deep Learning for Detection of Periapical Radiolucent Lesions: A Systematic Review and Meta-analysis of Diagnostic Test Accuracy.

Journal of endodontics Dec 21, 2022
INTRODUCTION: The aim of this systematic review and meta-analysis was to investigate the overall accuracy of deep learning models in detecting periapical (PA) radiolucent lesions in dental radiographs, when compared to expert clinicians.
Sensitivity and Specificity Deep Learning Diagnostic Tests, Routine Cone-Beam Computed Tomography Radiography, Panoramic
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Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy.

BMC nephrology Dec 19, 2022
BACKGROUND: Acute kidney injury (AKI) is independently associated with morbidity and mortality in a wide range of surgical settings. Nowadays, with the increasing use of electronic health records (EHR), advances in patient information retrieval, and ...
Humans Artificial Intelligence ROC Curve Diagnostic Tests, Routine Acute Kidney Injury Sensitivity and Specificity
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Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre study.

British journal of cancer Dec 15, 2022
BACKGROUND: This study aims to develop an attention-based deep learning model for distinguishing benign from malignant breast lesions on CESM.
Breast Deep Learning Mammography Humans Female Sensitivity and Specificity Neural Networks, Computer Breast Neoplasms
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Using artificial intelligence in a primary care setting to identify patients at risk for cancer: a risk prediction model based on routine laboratory tests.

Clinical chemistry and laboratory medicine Nov 30, 2022
OBJECTIVES: To evaluate the ability of an artificial intelligence (AI) model to predict the risk of cancer in patients referred from primary care based on routine blood tests. Results obtained with the AI model are compared to results based on logist...
Primary Health Care Neoplasms ROC Curve Artificial Intelligence Sensitivity and Specificity Humans
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Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Nov 27, 2022
OBJECTIVES: Deep learning algorithms have shown potential in streamlining difficult clinical decisions. In the present study, we report the diagnostic profile of a deep learning model in differentiating malignant and benign lymph nodes in patients wi...
Thyroid Neoplasms Lymph Nodes Sensitivity and Specificity Thyroid Cancer, Papillary Semantics Deep Learning Humans Retrospective Studies
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Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis.

Journal of neurointerventional surgery Nov 23, 2022
BACKGROUND: This study aimed to investigate the application of deep learning (DL) models for the detection of subdural hematoma (SDH).
Bias Bayes Theorem Hematoma, Subdural Humans Sensitivity and Specificity Deep Learning
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Development of a deep learning method for improving diagnostic accuracy for uterine sarcoma cases.

Scientific reports Nov 16, 2022
Uterine sarcomas have very poor prognoses and are sometimes difficult to distinguish from uterine leiomyomas on preoperative examinations. Herein, we investigated whether deep neural network (DNN) models can improve the accuracy of preoperative MRI-b...
Leiomyoma Sensitivity and Specificity Deep Learning Diagnosis, Differential Uterine Neoplasms Sarcoma Humans Pelvic Neoplasms Soft Tissue Neoplasms Female
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Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis.

Journal of neurointerventional surgery Nov 14, 2022
BACKGROUND: Subarachnoid hemorrhage from cerebral aneurysm rupture is a major cause of morbidity and mortality. Early aneurysm identification, aided by automated systems, may improve patient outcomes. Therefore, a systematic review and meta-analysis ...
Humans Algorithms Retrospective Studies Artificial Intelligence Intracranial Aneurysm Sensitivity and Specificity Multicenter Studies as Topic
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Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.

European radiology Nov 12, 2022
OBJECTIVES: Prostate volume (PV) in combination with prostate specific antigen (PSA) yields PSA density which is an increasingly important biomarker. Calculating PV from MRI is a time-consuming, radiologist-dependent task. The aim of this study was t...
Radiologists Observer Variation Prostate-Specific Antigen Prostate Organ Size Prostatic Neoplasms Retrospective Studies Sensitivity and Specificity Deep Learning Magnetic Resonance Imaging Humans Male Algorithms
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