AIMC Topic: Retrospective Studies

Clear Filters Showing 2361 to 2370 of 9989 articles

Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.

The Tohoku journal of experimental medicine Jul 25, 2024
While deep learning (DL) models have shown promise in breast cancer diagnosis using digital breast tomosynthesis (DBT) images, the impact of varying matrix sizes and image interpolation methods on diagnostic accuracy remains unclear. Understanding th...
Deep Learning Image Processing, Computer-Assisted Mammography Humans Retrospective Studies Female Aged Aged, 80 and over Adult Breast Neoplasms Middle Aged
View on PubMed DOI

Enabling AI-Generated Content for Gadolinium-Free Contrast-Enhanced Breast Magnetic Resonance Imaging.

Journal of magnetic resonance imaging : JMRI Jul 25, 2024
BACKGROUND: There is increasing interest in utilizing AI-generated content for gadolinium-free contrast-enhanced breast MRI.
Humans Artificial Intelligence Algorithms Breast Retrospective Studies Female Image Interpretation, Computer-Assisted Reproducibility of Results Gadolinium Image Enhancement Diffusion Magnetic Resonance Imaging Middle Aged Imaging, Three-Dimensional Aged Image Processing, Computer-Assisted Adult Sensitivity and Specificity Contrast Media Breast Neoplasms Magnetic Resonance Imaging
View on PubMed DOI

Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

HPB : the official journal of the International Hepato Pancreato Biliary Association Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Serum Albumin, Human Serum Albumin Risk Assessment Postoperative Complications Time Factors Hospital Mortality Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Predictive Value of Tests Bilirubin Hepatectomy Female Risk Factors Aged Male Middle Aged Humans Machine Learning Databases, Factual Retrospective Studies
View on PubMed DOI

An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation.

Journal of cardiovascular electrophysiology Jul 25, 2024
OBJECTIVES: We aimed to construct an artificial intelligence-enabled electrocardiogram (ECG) algorithm that can accurately predict the presence of left atrial low-voltage areas (LVAs) in patients with persistent atrial fibrillation.
Atrial Function, Left Retrospective Studies Female Reproducibility of Results Aged Male Humans Algorithms Signal Processing, Computer-Assisted Atrial Fibrillation Heart Atria Heart Rate Catheter Ablation Middle Aged Deep Learning Electrocardiography Action Potentials Predictive Value of Tests
View on PubMed DOI

Gender Differences in Letters of Recommendations and Personal Statements for Neurotology Fellowship over 10 Years: A Deep Learning Linguistic Analysis.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Jul 25, 2024
OBJECTIVE: Personal statements (PSs) and letters of recommendation (LORs) are critical components of the neurotology fellowship application process but can be subject to implicit biases. This study evaluated general and deep learning linguistic diffe...
Linguistics Correspondence as Topic Fellowships and Scholarships Sexism Adult Male Trust Deep Learning Sex Factors Humans Retrospective Studies Female
View on PubMed DOI

Multi-reader multiparametric DECT study evaluating different strengths of iterative and deep learning-based image reconstruction techniques.

European radiology Jul 24, 2024
OBJECTIVES: To perform a multi-reader comparison of multiparametric dual-energy computed tomography (DECT) images reconstructed with deep-learning image reconstruction (DLIR) and standard-of-care adaptive statistical iterative reconstruction-V (ASIR-...
Humans Retrospective Studies Tomography, X-Ray Computed Female Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Artifacts Radiography, Dual-Energy Scanned Projection Aged Aged, 80 and over Adult Male Middle Aged
View on PubMed DOI

Predicting Acute Exacerbation Phenotype in Chronic Obstructive Pulmonary Disease Patients Using VGG-16 Deep Learning.

Respiration; international review of thoracic diseases Jul 24, 2024
INTRODUCTION: Exacerbations of chronic obstructive pulmonary disease (COPD) have a significant impact on hospitalizations, morbidity, and mortality of patients. This study aimed to develop a model for predicting acute exacerbation in COPD patients (A...
Phenotype Retrospective Studies Tomography, X-Ray Computed Female Aged Humans ROC Curve Pulmonary Disease, Chronic Obstructive Male Middle Aged Disease Progression Deep Learning
View on PubMed DOI

Deep learning-based fully automatic Risser stage assessment model using abdominal radiographs.

Pediatric radiology Jul 24, 2024
BACKGROUND: Artificial intelligence has been increasingly used in medical imaging and has demonstrated expert level performance in image classification tasks.
Radiography, Abdominal Deep Learning Adolescent Child Radiographic Image Interpretation, Computer-Assisted Humans Retrospective Studies Female Male
View on PubMed DOI

Development and validation of radiology-clinical statistical and machine learning model for stroke-associated pneumonia after first intracerebral haemorrhage.

BMC pulmonary medicine Jul 24, 2024
BACKGROUND: Society is burdened with stroke-associated pneumonia (SAP) after intracerebral haemorrhage (ICH). Cerebral small vessel disease (CSVD) complicates clinical manifestations of stroke. In this study, we redefined the CSVD burden score and in...
Stroke Cerebral Small Vessel Diseases Middle Aged Logistic Models Models, Statistical Cerebral Hemorrhage Pneumonia Risk Factors Aged Aged, 80 and over Male Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female
View on PubMed DOI

Interpretable Machine Learning-Based Risk Score for Predicting 10-Year Corneal Graft Survival After Penetrating Keratoplasty and Deep Anterior Lamellar Keratoplasty in Asian Eyes.

Cornea Jul 24, 2024
PURPOSE: To predict 10-year graft survival after deep anterior lamellar keratoplasty (DALK) and penetrating keratoplasty (PK) using a machine learning (ML)-based interpretable risk score.
Humans Machine Learning Retrospective Studies Female Singapore Registries Asian People Corneal Diseases Corneal Transplantation Middle Aged Risk Assessment Keratoplasty, Penetrating Risk Factors Graft Survival Aged Follow-Up Studies Adult Visual Acuity Male
View on PubMed DOI
Popular Topics
Recent Journals