AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 561 to 570 of 2873 articles

AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesions.

Scientific reports May 24, 2024
Although the value of adding AI as a surrogate second reader in various scenarios has been investigated, it is unknown whether implementing an AI tool within double reading practice would capture additional subtle cancers missed by both radiologists ...
Humans Mammography Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Female Retrospective Studies Aged Sensitivity and Specificity Breast Neoplasms Middle Aged Early Detection of Cancer
View on PubMed DOI

Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology.

Surgery today May 23, 2024
PURPOSE: This study aimed to assess the efficiency of artificial intelligence (AI) in the detection of visceral pleural invasion (VPI) of lung cancer using high-resolution computed tomography (HRCT) images, which is challenging for experts because of...
Adult Sensitivity and Specificity Male Lung Neoplasms Carcinoma, Non-Small-Cell Lung Middle Aged Deep Learning Female Aged Aged, 80 and over Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Humans Preoperative Period Neoplasm Invasiveness Pleura Neoplasm Staging Pleural Neoplasms
View on PubMed DOI

Performance of an ultra-fast deep-learning accelerated MRI screening protocol for prostate cancer compared to a standard multiparametric protocol.

European radiology May 23, 2024
OBJECTIVES: To establish and evaluate an ultra-fast MRI screening protocol for prostate cancer (PCa) in comparison to the standard multiparametric (mp) protocol, reducing scan time and maintaining adequate diagnostic performance.
Prospective Studies Prostatic Neoplasms Multiparametric Magnetic Resonance Imaging Aged Sensitivity and Specificity Deep Learning Magnetic Resonance Imaging Male Middle Aged Humans
View on PubMed DOI

Meta-Analysis of the Efficacy of Raman Spectroscopy and Machine-Learning-Based Identification of Glioma Tissue.

World neurosurgery May 23, 2024
Intraoperative Raman spectroscopy (RS) has been identified as a potential tool for surgeons to rapidly and noninvasively differentiate between diseased and normal tissue. Since the previous meta-analysis on the subject was published in 2016, improvem...
Brain Neoplasms Humans Spectrum Analysis, Raman Machine Learning Sensitivity and Specificity Glioma
View on PubMed DOI

Enhancing oral squamous cell carcinoma detection: a novel approach using improved EfficientNet architecture.

BMC oral health May 23, 2024
PROBLEM: Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer globally, leading to the loss of structural integrity within the oral cavity layers and membranes. Despite its high prevalence, early diagnosis is crucial for effective ...
Humans Deep Learning Neural Networks, Computer Early Detection of Cancer Carcinoma, Squamous Cell Mouth Neoplasms Sensitivity and Specificity
View on PubMed DOI

Standalone deep learning versus experts for diagnosis lung cancer on chest computed tomography: a systematic review.

European radiology May 22, 2024
PURPOSE: To compare the diagnostic performance of standalone deep learning (DL) algorithms and human experts in lung cancer detection on chest computed tomography (CT) scans.
Humans Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Radiography, Thoracic Deep Learning Lung Neoplasms
View on PubMed DOI

Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG.

International journal of neural systems May 22, 2024
Electroencephalography (EEG) plays a crucial role in epilepsy analysis, and epileptic seizure prediction has significant value for clinical treatment of epilepsy. Currently, prediction methods using Convolutional Neural Network (CNN) primarily focus ...
Electroencephalography Epilepsy Seizures Signal Processing, Computer-Assisted Humans Neural Networks, Computer Sensitivity and Specificity
View on PubMed DOI

The innovation of AI-based software in oral diseases: clinical-histopathological correlation diagnostic accuracy primary study.

BMC oral health May 22, 2024
BACKGROUND: Machine learning (ML) through artificial intelligence (AI) could provide clinicians and oral pathologists to advance diagnostic problems in the field of potentially malignant lesions, oral cancer, periodontal diseases, salivary gland dise...
Sensitivity and Specificity Diagnosis, Computer-Assisted Mouth Neoplasms Mouth Diseases Artificial Intelligence Machine Learning Software Humans
View on PubMed DOI

Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer.

Nature communications May 22, 2024
Cervical cancer is a significant global health issue, its prevalence and prognosis highlighting the importance of early screening for effective prevention. This research aimed to create and validate an artificial intelligence cervical cancer screenin...
Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged Retrospective Studies Female Adult Neoplasm Grading Cervix Uteri Early Detection of Cancer Area Under Curve Artificial Intelligence Prospective Studies Humans
View on PubMed DOI

Application of deep learning algorithms in classification and localization of implant cutout for the postoperative hip.

Skeletal radiology May 21, 2024
OBJECTIVE: This study aims to explore the feasibility of employing convolutional neural networks for detecting and localizing implant cutouts on anteroposterior pelvic radiographs.
Arthroplasty, Replacement, Hip Prosthesis Failure Algorithms Hip Prosthesis Retrospective Studies Deep Learning Humans Male Aged Female Radiographic Image Interpretation, Computer-Assisted Middle Aged Sensitivity and Specificity Feasibility Studies
View on PubMed DOI
Popular Topics
Recent Journals