AIMC Topic: Sensitivity and Specificity

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Study on predicting breast cancer Ki-67 expression using a combination of radiomics and deep learning based on multiparametric MRI.

Magnetic resonance imaging Sep 1, 2025
PURPOSE: To develop a multiparametric breast MRI radiomics and deep learning-based multimodal model for predicting preoperative Ki-67 expression status in breast cancer, with the potential to advance individualized treatment and precision medicine fo...
Breast Neoplasms Radiomics Multiparametric Magnetic Resonance Imaging Predictive Value of Tests Humans Breast Female Image Interpretation, Computer-Assisted Ki-67 Antigen Diffusion Magnetic Resonance Imaging Reproducibility of Results Middle Aged Aged Adult Deep Learning Sensitivity and Specificity ROC Curve Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging
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Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI.

Magnetic resonance imaging Sep 1, 2025
Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-tearing an anterior cruciate ligament (ACL) using a combination of imaging signal intensity (SI) and cross-sectional area measurements of the healing AC...
Metals Young Adult Anterior Cruciate Ligament Reconstruction Adult Anterior Cruciate Ligament Injuries Magnetic Resonance Imaging Humans Sensitivity and Specificity Image Interpretation, Computer-Assisted Anterior Cruciate Ligament Algorithms Male Artifacts Female Reproducibility of Results
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Early Detection of Acute Coronary Syndrome Using a Mobile Digital Health Application.

Studies in health technology and informatics Aug 7, 2025
Early detection of acute coronary syndrome (ACS) is vital for reducing ischemic time and preserving more heart muscle.Chest pain is the most common symptom of acute coronary syndrome (ACS). This study used a quick chest pain assessment questionnaire ...
Reproducibility of Results Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Humans Machine Learning Digital Health Female Acute Coronary Syndrome Early Diagnosis Surveys and Questionnaires Mobile Applications Chest Pain Telemedicine
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Exploring Machine Learning for Predicting Peripheral and Central Precocious Puberty Through Cross-Hospital Validation.

Studies in health technology and informatics Aug 7, 2025
Precocious puberty, including Peripheral Precocious Puberty (PPP) and Central Precocious Puberty (CPP), presents diagnostic challenges in pediatric endocrinology, leading to delayed interventions. This study utilized machine learning models-Random Fo...
Humans Machine Learning Electronic Health Records Puberty, Precocious Female Diagnosis, Computer-Assisted Reproducibility of Results Child Sensitivity and Specificity
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A Proof-of-Concept Development on Speech Analysis for Concussion Detection.

Studies in health technology and informatics Aug 7, 2025
Speech signal analysis to support objective clinical decision-making has gained immense interest, especially in neurological disorders. This research assessed the feasibility of speech analysis on the detection of concussions. Using a speech dataset ...
Support Vector Machine Proof of Concept Study Brain Concussion Female Adult Sensitivity and Specificity Male Humans Machine Learning
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Predicting Diabetes Using Convolutional Neural Networks and EKG Entropy Analysis.

Studies in health technology and informatics Aug 7, 2025
Heart Rate Variability (HRV) is associated with diabetic complications. This analysis can quantify changes in heart rate variability, and it may help detect early alterations in diabetes. This study aimed to design and validate a Convolutional Neural...
Humans Neural Networks, Computer Convolutional Neural Networks Electrocardiography Diabetes Mellitus Heart Rate Entropy Female Sensitivity and Specificity Male Diagnosis, Computer-Assisted
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Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens.

Microbiology spectrum Aug 5, 2025
Mycobacteria, including (MTB) and non-tuberculosis mycobacteria (NTM), are important causes of infectious disease and cause significant mortality and morbidity globally. Fast detection is extremely important to reduce transmission and mortality asso...
Mycobacterium tuberculosis Image Processing, Computer-Assisted Humans Neural Networks, Computer Sputum Machine Learning Tuberculosis Sensitivity and Specificity Microscopy Convolutional Neural Networks
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Effect of Deep Learning-Based Artificial Intelligence on Radiologists' Performance in Identifying Nigrosome 1 Abnormalities on Susceptibility Map-Weighted Imaging.

Korean journal of radiology Aug 1, 2025
OBJECTIVE: To evaluate the effect of deep learning (DL)-based artificial intelligence (AI) software on the diagnostic performance of radiologists with different experience levels in detecting nigrosome 1 (N1) abnormalities on susceptibility map-weigh...
Magnetic Resonance Imaging Parkinson Disease Radiologists Cross-Over Studies Image Interpretation, Computer-Assisted Middle Aged Case-Control Studies Deep Learning Clinical Competence Humans Artificial Intelligence Retrospective Studies Adult Sensitivity and Specificity Male Female Aged
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Improving image quality and diagnostic performance using deep learning image reconstruction in 100-kVp CT enterography for patients with wide-range body mass index.

European journal of radiology Aug 1, 2025
OBJECTIVE: To assess the clinical value of the deep learning image reconstruction (DLIR) algorithm compared with conventional adaptive statistical iterative reconstruction-Veo (ASiR-V) in image quality, diagnostic confidence, and intestinal lesion de...
Aged, 80 and over Adult Sensitivity and Specificity Male Body Mass Index Radiographic Image Interpretation, Computer-Assisted Quality Improvement Middle Aged Deep Learning Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans Algorithms Retrospective Studies Signal-To-Noise Ratio Intestinal Diseases
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Application of Quantitative CT and Machine Learning in the Evaluation and Diagnosis of Polymyositis/Dermatomyositis-Associated Interstitial Lung Disease.

Academic radiology Aug 1, 2025
RATIONALE AND OBJECTIVES: To investigate lung changes in patients with polymyositis/dermatomyositis-associated interstitial lung disease (PM/DM-ILD) using quantitative CT and to construct a diagnostic model to evaluate the application of quantitative...
Sensitivity and Specificity Male Middle Aged Humans Lung Diseases, Interstitial Retrospective Studies Lung Female Polymyositis Aged Adult Tomography, X-Ray Computed Machine Learning Radiographic Image Interpretation, Computer-Assisted Dermatomyositis
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