AIMC Topic: Sensitivity and Specificity

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Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning.

BMC medical informatics and decision making Apr 1, 2025
BACKGROUND: Cognitive impairment is common after a stroke, but it can often go undetected. In this study, we investigated whether using gait and dual tasks could help detect cognitive impairment after stroke.
Machine Learning Female Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Cognitive Dysfunction Humans Neuropsychological Tests Support Vector Machine Gait Cerebrovascular Disorders Gait Analysis
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Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs.

BMC ophthalmology Apr 1, 2025
PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ResNet-101, for screening thyroid eye disease (TED) using frontal face photographs, and to test these models under clinical conditions.
Photography Female Deep Learning Humans Aged ROC Curve Male Adult Neural Networks, Computer Face Sensitivity and Specificity Middle Aged Graves Ophthalmopathy
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AI-based detection and classification of anomalous aortic origin of coronary arteries using coronary CT angiography images.

Nature communications Apr 1, 2025
Anomalous aortic origin of the coronary artery (AAOCA) is a rare cardiac condition that can lead to ischemia or sudden cardiac death, yet it is often overlooked or falsely classified in routine coronary CT angiography (CCTA). Here, we developed, vali...
Middle Aged Imaging, Three-Dimensional Coronary Angiography Coronary Vessels Computed Tomography Angiography Coronary Vessel Anomalies Aged Adult Sensitivity and Specificity Male Humans Artificial Intelligence Female
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Automated detection of metastatic lymph nodes in head and neck malignant tumors on high - resolution MRI images using an improved convolutional neural network.

International journal of medical informatics Mar 30, 2025
PURPOSE: To develop an AI-based diagnostic model for assessing cervical lymph nodes in head and neck malignant tumors using MRI, enabling non-invasive pre-surgical metastasis diagnosis.
Head and Neck Neoplasms Humans Male Lymphatic Metastasis Neural Networks, Computer Female Middle Aged Magnetic Resonance Imaging Retrospective Studies Aged Convolutional Neural Networks Image Interpretation, Computer-Assisted Adult Lymph Nodes Sensitivity and Specificity
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Deep Learning and Radiomics Discrimination of Coronary Chronic Total Occlusion and Subtotal Occlusion using CTA.

Academic radiology Mar 30, 2025
RATIONALE AND OBJECTIVES: Coronary chronic total occlusion (CTO) and subtotal occlusion (STO) pose diagnostic challenges, differing in treatment strategies. Artificial intelligence and radiomics are promising tools for accurate discrimination. This s...
Middle Aged Female Deep Learning Sensitivity and Specificity Coronary Angiography Diagnosis, Differential Radiomics Humans Retrospective Studies Chronic Disease Radiographic Image Interpretation, Computer-Assisted Male Coronary Occlusion Computed Tomography Angiography
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Separating obstructive and central respiratory events during sleep using breathing sounds: Utilizing transfer learning on deep convolutional networks.

Sleep medicine Mar 29, 2025
Sleep apnea diagnosis relies on polysomnography (PSG), which is resource-intensive and requires manual analysis to differentiate obstructive sleep apnea (OSA) from central sleep apnea (CSA). Existing portable devices, while valuable in detecting slee...
Middle Aged Deep Learning Sleep Apnea, Obstructive Polysomnography Female Adult Sensitivity and Specificity Male Respiratory Sounds Sleep Apnea, Central Humans Neural Networks, Computer
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Deep Learning Based on Ultrasound Images Differentiates Parotid Gland Pleomorphic Adenomas and Warthin Tumors.

Ultrasonic imaging Mar 29, 2025
Exploring the clinical significance of employing deep learning methodologies on ultrasound images for the development of an automated model to accurately identify pleomorphic adenomas and Warthin tumors in salivary glands. A retrospective study was c...
Young Adult Adult Sensitivity and Specificity Male Humans Retrospective Studies Female Aged Parotid Gland Parotid Neoplasms Image Interpretation, Computer-Assisted Adenoma, Pleomorphic Adenolymphoma Middle Aged Deep Learning Ultrasonography Diagnosis, Differential
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Evaluating a large language model's accuracy in chest X-ray interpretation for acute thoracic conditions.

The American journal of emergency medicine Mar 27, 2025
BACKGROUND: The rapid advancement of artificial intelligence (AI) has great ability to impact healthcare. Chest X-rays are essential for diagnosing acute thoracic conditions in the emergency department (ED), but interpretation delays due to radiologi...
Sensitivity and Specificity Pneumonia Emergency Service, Hospital Acute Disease Radiography, Thoracic Humans Artificial Intelligence Large Language Models Pneumothorax
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A prospective study for the examination of peripheral blood smear samples in pediatric population using artificial intelligence.

Turkish journal of medical sciences Mar 27, 2025
BACKGROUND/AIM: Peripheral blood smear (PBS) and bone marrow aspiration are gold standards of manual microscopy diagnostics for blood cell disorders. Nowadays, data-driven artificial intelligence (AI) techniques open new perspectives in digital hemat...
Hematologic Diseases Sensitivity and Specificity Humans Male Artificial Intelligence Child, Preschool Prospective Studies Child Female
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Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection.

BMC psychiatry Mar 26, 2025
OBJECTIVE: To develop a stratified screening tool through machine learning approaches for the Center for Epidemiologic Studies Depression Scale (CES-D-20) while maintaining diagnostic accuracy, addressing the efficiency limitations in large-scale app...
Child Mass Screening Depressive Disorder China Depression Sensitivity and Specificity Psychometrics Male Adolescent Middle Aged Psychiatric Status Rating Scales Humans Machine Learning Female Adult
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