AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 2421 to 2430 of 2922 articles

Feasibility of deep learning algorithm in diagnosing lumbar central canal stenosis using abdominal CT.

Skeletal radiology May 1, 2025
OBJECTIVE: To develop a deep learning algorithm for diagnosing lumbar central canal stenosis (LCCS) using abdominal CT (ACT) and lumbar spine CT (LCT).
Sensitivity and Specificity Male Middle Aged Lumbar Vertebrae Feasibility Studies Deep Learning Radiographic Image Interpretation, Computer-Assisted Female Aged Aged, 80 and over Algorithms Retrospective Studies Tomography, X-Ray Computed Humans Spinal Stenosis Radiography, Abdominal
View on PubMed DOI

Assessment of the quality of different commercial providers using artificial intelligence for automated cephalometric analysis compared to human orthodontic experts.

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie May 1, 2025
PURPOSE: The aim of this investigation was to evaluate the accuracy of various skeletal and dental cephalometric parameters as produced by different commercial providers that make use of artificial intelligence (AI)-assisted automated cephalometric a...
Quality Assurance, Health Care Humans Sensitivity and Specificity Orthodontics Observer Variation Anatomic Landmarks Cephalometry Artificial Intelligence Reproducibility of Results
View on PubMed DOI

A Neural Network for Atrial Fibrillation Detection via PPG.

Studies in health technology and informatics Apr 24, 2025
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with severe complications such as ischemic stroke and heart failure. Early detection is essential for timely intervention; however, traditional diagnostic methods often lack scalab...
Photoplethysmography Atrial Fibrillation Male Smartphone Mobile Applications Humans Neural Networks, Computer Sensitivity and Specificity
View on PubMed DOI

Enhancing Malignancy Detection and Tumor Classification in Pathology Reports: A Comparative Evaluation of Large Language Models.

Studies in health technology and informatics Apr 24, 2025
BACKGROUND: Cancer registries require accurate and efficient documentation of malignancies, yet current manual methods are time-consuming and error-prone.
Natural Language Processing Humans Large Language Models Reproducibility of Results Algorithms Sensitivity and Specificity Electronic Health Records Neoplasms
View on PubMed DOI

Classifying Type 2 Diabetes Using N-Glycan Profiling and Machine Learning Algorithms.

Studies in health technology and informatics Apr 24, 2025
BACKGROUND: Type 2 diabetes (T2D) continues to present a global public health challenge due to its increasing prevalence. Early diagnosis is critical for preventing complications, but current screening methods often fail to detect early diabetic cond...
Polysaccharides Electrophoresis, Capillary Male Middle Aged Diabetes Mellitus, Type 2 Humans Female Sensitivity and Specificity Machine Learning Algorithms
View on PubMed DOI

GPT-4 in Clinical Practice: Assessing Its Capability for Symptom Extraction from Cancer Patient Notes.

Studies in health technology and informatics Apr 8, 2025
Accurate extraction of patient symptoms and signs from clinical notes is essential for effective diagnosis, treatment planning, and research. In this study, we evaluate the capability of GPT-4, specifically GPT-4o, in extracting symptoms and signs fr...
Humans Natural Language Processing Electronic Health Records Data Mining Sensitivity and Specificity Symptom Assessment Neoplasms
View on PubMed DOI

Artificial intelligence-assisted approach to assessing bowel wall thickness in pediatric inflammatory bowel disease using intestinal ultrasound images.

Journal of Crohn's & colitis Apr 4, 2025
BACKGROUND AND AIM: Intestinal ultrasound (IUS) potentially spares patients from repeated endoscopies under sedation and eliminates the need for alternative imaging modalities like magnetic resonance enterography and computed tomography enterography ...
Artificial Intelligence Algorithms Inflammatory Bowel Diseases Adolescent Humans Child Female Ultrasonography Sensitivity and Specificity Intestines Male
View on PubMed DOI

Deep Learning Model for Diagnosing and Classifying Subtypes of Chronic Pulmonary Aspergillosis in Chest CT.

Mycoses Apr 1, 2025
BACKGROUND: Diagnosing chronic pulmonary aspergillosis (CPA) and its subtypes is essential for treatment and prognosis. In clinical practice, inexperienced doctors may overlook the presence of CPA due to overreliance on radiological results. Applying...
Aged Algorithms Sensitivity and Specificity Chronic Disease Humans Middle Aged Tomography, X-Ray Computed Male Pulmonary Aspergillosis Female Deep Learning
View on PubMed DOI

Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy.

Radiology Apr 1, 2025
Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorithms trained on bilateral mammograms for second breast cancer surveillance in patients with a personal history of breast cancer treated with unilateral...
Humans Aged Adult Sensitivity and Specificity Breast Neoplasms Artificial Intelligence Retrospective Studies Female Breast Mastectomy Middle Aged Neoplasms, Second Primary Mammography Radiologists
View on PubMed DOI

Machine Learning and Deep Learning in Detection of Neonatal Seizures: A Systematic Review.

Journal of evaluation in clinical practice Apr 1, 2025
BACKGROUND: Neonatal seizures are one of the most prevalent clinical manifestations of neurological conditions, requiring urgent intervention and detection. Machine learning (ML) and Deep Learning (DL) is an emerging promising tool for detecting and ...
Seizures Intensive Care Units, Neonatal Humans Machine Learning Infant, Newborn ROC Curve Electroencephalography Sensitivity and Specificity Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals