AIMC Topic: Sensitivity and Specificity

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Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Accurately detecting a variety of lung abnormalities from heterogenous chest X-ray (CXR) images and writing radiology reports is often difficult and time-consuming.
Adult Observer Variation Radiologists Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Male Lung Diseases Middle Aged Humans Lung Artificial Intelligence Adolescent Retrospective Studies Female Aged Young Adult
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Highly accurate brain tumor detection with high sensitivity using transform-based functions and machine learning algorithms.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Brain tumor is an extremely dangerous disease with a very high mortality rate worldwide. Detecting brain tumors accurately is crucial due to the varying appearance of tumor cells and the dimensional irregularities in their growth. This po...
Humans Brain Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Machine Learning Algorithms Sensitivity and Specificity
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A Study of Assisted Screening for Alzheimer's Disease Based on Handwriting and Gait Analysis.

Journal of Alzheimer's disease : JAD Jan 1, 2024
BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disease that is not easily detected in the early stage. Handwriting and walking have been shown to be potential indicators of cognitive decline and are often affected by AD.
Alzheimer Disease Gait Analysis Handwriting Humans Aged, 80 and over Machine Learning Sensitivity and Specificity Female Male Aged
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[Advances in artificial intelligence-assisted MRI radiomics in the diagnosis and treatment of prostate cancer].

Zhonghua nan ke xue = National journal of andrology Jan 1, 2024
Prostate cancer (PCa) is the second most common cancer worldwide and the fifth leading cause of cancer deaths in men. Magnetic resonance imaging (MRI), with its high sensitivity and specificity in detecting PCa, is currently the most widely used imag...
Humans Artificial Intelligence Sensitivity and Specificity Prostatic Neoplasms Radiomics Male Magnetic Resonance Imaging
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Artificial intelligence's contribution to early pulmonary lesion detection in chest X-rays: insights from two retrospective studies on a Czech population.

Casopis lekaru ceskych Jan 1, 2024
In recent years healthcare is undergoing significant changes due to technological innovations, with Artificial Intelligence (AI) being a key trend. Particularly in radiodiagnostics, according to studies, AI has the potential to enhance accuracy and e...
Retrospective Studies Sensitivity and Specificity Deep Learning Czech Republic Humans Lung Neoplasms Radiography, Thoracic Artificial Intelligence Early Detection of Cancer
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Diagnostic performance of machine-learning algorithms for sepsis prediction: An updated meta-analysis.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Early identification of sepsis has been shown to significantly improve patient prognosis.
Sepsis Area Under Curve Humans Machine Learning Sensitivity and Specificity
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[Artificial Intelligence: accuracy for the diagnosis of precancerous lesions of the cervix].

Medicina Jan 1, 2024
INTRODUCTION: To compare the diagnostic sensitivity of artificial intelligence (AI) assisted videocolposcopy with standard videocolposcopy performed by specialist colposcopists.
Cervix Uteri Biopsy Video Recording Uterine Cervical Neoplasms Cross-Sectional Studies Middle Aged Precancerous Conditions Uterine Cervical Dysplasia Colposcopy Artificial Intelligence Retrospective Studies Female Reproducibility of Results Adult Sensitivity and Specificity Humans
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A Preoperative Prediction Model for Lymph Node Metastasis in Patients with Gastric Cancer Using a Machine Learning-based Ultrasomics Approach.

Current medical imaging Jan 1, 2024
OBJECTIVE: This study aimed to develop an ultrasomics model for predicting lymph node metastasis preoperative in patients with gastric cancer (GC).
Humans Machine Learning Algorithms Female Lymph Nodes Lymphatic Metastasis Male Middle Aged Ultrasonography Aged Stomach Neoplasms Sensitivity and Specificity
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Intelligent deep learning supports biomedical image detection and classification of oral cancer.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Oral cancer is a malignant tumor that usually occurs within the tissues of the mouth. This type of cancer mainly includes tumors in the lining of the mouth, tongue, lips, buccal mucosa and gums. Oral cancer is on the rise globally, especi...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Mouth Neoplasms Sensitivity and Specificity Image Interpretation, Computer-Assisted Deep Learning
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Cognitive Screening for Mild Cognitive Impairment: Clinician Perspectives on Current Practices and Future Directions.

Journal of Alzheimer's disease : JAD Jan 1, 2024
 This study surveyed 51 specialist clinicians for their views on existing cognitive screening tests for mild cognitive impairment and their opinions about a hypothetical remote screener driven by artificial intelligence (AI). Responses revealed signi...
Humans Artificial Intelligence Female Attitude of Health Personnel Cognitive Dysfunction Mass Screening Neuropsychological Tests Sensitivity and Specificity Male Surveys and Questionnaires
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