AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 751 to 760 of 2873 articles

Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms.

European radiology Nov 8, 2023
OBJECTIVES: To validate an AI system for standalone breast cancer detection on an entire screening population in comparison to first-reading breast radiologists.
Humans Mass Screening Early Detection of Cancer Denmark Sensitivity and Specificity Mammography Radiologists Breast Neoplasms Middle Aged Artificial Intelligence Female Aged
View on PubMed DOI

Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence software.

European radiology Nov 8, 2023
OBJECTIVES: To evaluate the improvement of mammography interpretation for novice and experienced radiologists assisted by two commercial AI software.
Aged Adult Sensitivity and Specificity Software Female Humans Mammography Reproducibility of Results Breast Neoplasms Artificial Intelligence Radiologists Radiographic Image Interpretation, Computer-Assisted Observer Variation Middle Aged Clinical Competence
View on PubMed DOI

Reducing false positives in deep learning-based brain metastasis detection by using both gradient-echo and spin-echo contrast-enhanced MRI: validation in a multi-center diagnostic cohort.

European radiology Oct 28, 2023
OBJECTIVES: To develop a deep learning (DL) for detection of brain metastasis (BM) that incorporates both gradient- and turbo spin-echo contrast-enhanced MRI (dual-enhanced DL) and evaluate it in a clinical cohort in comparison with human readers and...
Magnetic Resonance Imaging False Positive Reactions Deep Learning Cohort Studies Contrast Media Humans Female Sensitivity and Specificity Aged Brain Neoplasms Male Aged, 80 and over Middle Aged Adult
View on PubMed DOI

Deep learning models of ultrasonography significantly improved the differential diagnosis performance for superficial soft-tissue masses: a retrospective multicenter study.

BMC medicine Oct 26, 2023
BACKGROUND: Most of superficial soft-tissue masses are benign tumors, and very few are malignant tumors. However, persistent growth, of both benign and malignant tumors, can be painful and even life-threatening. It is necessary to improve the differe...
Humans Ultrasonography Diagnosis, Differential Soft Tissue Neoplasms Retrospective Studies Sensitivity and Specificity Deep Learning
View on PubMed DOI

Diagnostic Test Accuracy of artificial intelligence-assisted detection of acute coronary syndrome: A systematic review and meta-analysis.

Computers in biology and medicine Oct 25, 2023
BACKGROUND: Artificial intelligence (AI) has potential uses in healthcare including the detection of health conditions and prediction of health outcomes. Past systematic reviews had reviewed the accuracy of artificial neural networks (ANN) on Electro...
ROC Curve Diagnostic Tests, Routine Adult Humans Acute Coronary Syndrome Sensitivity and Specificity Artificial Intelligence Middle Aged Aged
View on PubMed DOI

The performance of deep learning on thyroid nodule imaging predicts thyroid cancer: A systematic review and meta-analysis of epidemiological studies with independent external test sets.

Diabetes & metabolic syndrome Oct 25, 2023
BACKGROUND AND AIMS: It is still controversial whether deep learning (DL) systems add accuracy to thyroid nodule imaging classification based on the recent available evidence. We conducted this study to analyze the current evidence of DL in thyroid n...
Epidemiologic Studies Thyroid Neoplasms Thyroid Nodule Humans Diagnosis, Differential Sensitivity and Specificity Deep Learning
View on PubMed DOI

Prediction of visceral pleural invasion of clinical stage I lung adenocarcinoma using thoracoscopic images and deep learning.

Surgery today Oct 20, 2023
PURPOSE: To develop deep learning models using thoracoscopic images to identify visceral pleural invasion (VPI) in patients with clinical stage I lung adenocarcinoma, and to verify if these models can be applied clinically.
Viscera Sensitivity and Specificity Predictive Value of Tests Neural Networks, Computer Adenocarcinoma of Lung Neoplasm Staging Male Female Thoracoscopy Pleura Middle Aged Aged Lung Neoplasms Humans Deep Learning Neoplasm Invasiveness ROC Curve
View on PubMed DOI

Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.

Academic radiology Oct 20, 2023
RATIONALE AND OBJECTIVES: Recurrence of hepatocellular carcinoma (HCC) is a major concern in its management. Accurately predicting the risk of recurrence is crucial for determining appropriate treatment strategies and improving patient outcomes. A ce...
Machine Learning Sensitivity and Specificity Radiomics Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Predictive Value of Tests Humans Neoplasm Recurrence, Local
View on PubMed DOI

Deep learning for diagnosis of head and neck cancers through radiographic data: a systematic review and meta-analysis.

Oral radiology Oct 19, 2023
PURPOSE: This study aims to review deep learning applications for detecting head and neck cancer (HNC) using magnetic resonance imaging (MRI) and radiographic data.
Magnetic Resonance Imaging Positron-Emission Tomography Sensitivity and Specificity Deep Learning Head and Neck Neoplasms Humans
View on PubMed DOI

Artificial intelligence in osteoarthritis detection: A systematic review and meta-analysis.

Osteoarthritis and cartilage Oct 18, 2023
OBJECTIVES: As an increasing number of studies apply artificial intelligence (AI) algorithms in osteoarthritis (OA) detection, we performed a systematic review and meta-analysis to pool the data on diagnostic performance metrics of AI, and to compare...
Humans Artificial Intelligence Algorithms Sensitivity and Specificity Osteoarthritis
View on PubMed DOI
Popular Topics
Recent Journals