AIMC Topic: Sensitivity and Specificity
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Natural Language Processing to Identify Infants Aged 90 Days and Younger With Fevers Prior to Presentation.
Hospital pediatrics
Jan 1, 2025
OBJECTIVE: Natural language processing (NLP) can enhance research studies for febrile infants by more comprehensive cohort identification. We aimed to refine and validate an NLP algorithm to identify and extract quantified temperature measurements fr...
Evaluation of temporomandibular joint disc displacement with MRI-based radiomics analysis.
Dento maxillo facial radiology
Jan 1, 2025
OBJECTIVES: The purpose of this study was to propose a machine learning model and assess its ability to classify temporomandibular joint (TMJ) disc displacements on MR T1-weighted and proton density-weighted images.
SwinDFU-Net: Deep learning transformer network for infection identification in diabetic foot ulcer.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2025
BACKGROUND: The identification of infection in diabetic foot ulcers (DFUs) is challenging due to variability within classes, visual similarity between classes, reduced contrast with healthy skin, and presence of artifacts. Existing studies focus on v...
Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging.
The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology
Dec 30, 2024
Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality globally, primarily due to its late diagnosis. Early detection is crucial yet challenging. This study leverages the potential of deep learning (DL) techn...
A Deep Learning Network for Accurate Retinal Multidisease Diagnosis Using Multiview Fusion of En Face and B-Scan Images: A Multicenter Study.
Translational vision science & technology
Dec 2, 2024
PURPOSE: Accurate diagnosis of retinal disease based on optical coherence tomography (OCT) requires scrutiny of both B-scan and en face images. The aim of this study was to investigate the effectiveness of fusing en face and B-scan images for better ...
Assessing diagnostic performance for common skin diseases using an AI-assisted tele-expertise platform: a proof of concept.
European journal of dermatology : EJD
Dec 1, 2024
Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatology, with promising results for diagnosing skin cancers, though few studies cover common or inflammatory dermatoses. To evaluate the diagnostic accuracy...
Detection of suicidality from medical text using privacy-preserving large language models.
The British journal of psychiatry : the journal of mental science
Dec 1, 2024
BACKGROUND: Attempts to use artificial intelligence (AI) in psychiatric disorders show moderate success, highlighting the potential of incorporating information from clinical assessments to improve the models. This study focuses on using large langua...
[Application of CT Radiomics in Predicting Differentiation Level of Lung Adenocarcinoma].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Nov 30, 2024
OBJECTIVE: To investigate the value of prediction of the differentiation level in lung adenocarcinoma based on CT radiomics model.
Phantom evaluation of feasibility and applicability of artificial intelligence based pulmonary nodule detection in chest radiographs.
Medicine
Nov 22, 2024
The aim of our study was to evaluate the specific performance of an artificial intelligence (AI) algorithm for lung nodule detection in chest radiography for a larger number of nodules of different sizes and densities using a standardized phantom app...
Artificial Intelligence in Early Childhood Caries Detection and Prediction: A Systematic Review and Meta-Analysis.
Pediatric dentistry
Nov 15, 2024
To conduct a systematic review of artificial intelligence (AI) in aiding clinicians with the prediction and detection specifically for early childhood caries (ECC). A search was performed across PubMed, Scopus, Web of Science, IEEE, and grey litera...
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