AIMC Topic: Aged
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Improving difficult direct laryngoscopy prediction using deep learning and minimal image analysis: a single-center prospective study.
Scientific reports
Jun 20, 2024
Accurate prediction of difficult direct laryngoscopy (DDL) is essential to ensure optimal airway management and patient safety. The present study proposed an AI model that would accurately predict DDL using a small number of bedside pictures of the p...
Machine learning for the prediction of in-hospital mortality in patients with spontaneous intracerebral hemorrhage in intensive care unit.
Scientific reports
Jun 20, 2024
This study aimed to develop a machine learning (ML)-based tool for early and accurate prediction of in-hospital mortality risk in patients with spontaneous intracerebral hemorrhage (sICH) in the intensive care unit (ICU). We did a retrospective study...
Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects.
The British journal of ophthalmology
Jun 20, 2024
BACKGROUND/AIMS: To assess the performance of deep-learning (DL) models for prediction of conversion to normal-tension glaucoma (NTG) in normotensive glaucoma suspect (GS) patients.
Approved AI-based fluid monitoring to identify morphological and functional treatment outcomes in neovascular age-related macular degeneration in real-world routine.
The British journal of ophthalmology
Jun 20, 2024
AIM: To predict antivascular endothelial growth factor (VEGF) treatment requirements, visual acuity and morphological outcomes in neovascular age-related macular degeneration (nAMD) using fluid quantification by artificial intelligence (AI) in a real...
Ranibizumab
Wet Macular Degeneration
Subretinal Fluid
Visual Acuity
Tomography, Optical Coherence
Vascular Endothelial Growth Factor A
Intravitreal Injections
Artificial Intelligence
Retrospective Studies
Female
Aged
Angiogenesis Inhibitors
Humans
Treatment Outcome
Aged, 80 and over
Follow-Up Studies
Male
Deep learning detection of diabetic retinopathy in Scotland's diabetic eye screening programme.
The British journal of ophthalmology
Jun 20, 2024
BACKGROUND/AIMS: Support vector machine-based automated grading (known as iGradingM) has been shown to be safe, cost-effective and robust in the diabetic retinopathy (DR) screening (DES) programme in Scotland. It triages screening episodes as gradabl...
Application of machine learning in the analysis of multiparametric MRI data for the differentiation of treatment responses in breast cancer: retrospective study.
European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)
Jun 19, 2024
OBJECTIVE: The objective of this study is to develop and validate a multiparametric MRI model employing machine learning to predict the effectiveness of treatment and the stage of breast cancer.
A Machine Learning Algorithm Avoids Unnecessary Paracentesis for Exclusion of SBP in Cirrhosis in Resource-limited Settings.
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
Jun 19, 2024
BACKGROUND & AIMS: Despite the poor prognosis associated with missed or delayed spontaneous bacterial peritonitis (SBP) diagnosis, <15% get timely paracentesis, which persists despite guidelines/education in the United States. Measures to exclude SBP...
Development of a machine learning-based risk model for postoperative complications of lung cancer surgery.
Surgery today
Jun 19, 2024
PURPOSE: To develop a comorbidity risk score specifically for lung resection surgeries.
Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer.
Abdominal radiology (New York)
Jun 19, 2024
PURPOSE: To develop a deep learning (DL) zonal segmentation model of prostate MR from T2-weighted images and evaluate TZ-PSAD for prediction of the presence of csPCa (Gleason score of 7 or higher) compared to PSAD.
Multi-omics deep learning for radiation pneumonitis prediction in lung cancer patients underwent volumetric modulated arc therapy.
Computer methods and programs in biomedicine
Jun 19, 2024
BACKGROUND AND OBJECTIVE: To evaluate the feasibility and accuracy of radiomics, dosiomics, and deep learning (DL) in predicting Radiation Pneumonitis (RP) in lung cancer patients underwent volumetric modulated arc therapy (VMAT) to improve radiother...
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