AIMC Topic: Aged
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Predictive approach for liberation from acute dialysis in ICU patients using interpretable machine learning.
Scientific reports
Jun 7, 2024
Renal recovery following dialysis-requiring acute kidney injury (AKI-D) is a vital clinical outcome in critical care, yet it remains an understudied area. This retrospective cohort study, conducted in a medical center in Taiwan from 2015 to 2020, enr...
Artificial intelligence-based radiographic extent analysis to predict tuberculosis treatment outcomes: a multicenter cohort study.
Scientific reports
Jun 7, 2024
Predicting outcomes in pulmonary tuberculosis is challenging despite effective treatments. This study aimed to identify factors influencing treatment success and culture conversion, focusing on artificial intelligence (AI)-based chest X-ray analysis ...
Predicting Lymphovascular Invasion in Non-small Cell Lung Cancer Using Deep Convolutional Neural Networks on Preoperative Chest CT.
Academic radiology
Jun 6, 2024
RATIONALE AND OBJECTIVES: Lymphovascular invasion (LVI) plays a significant role in precise treatments of non-small cell lung cancer (NSCLC). This study aims to build a non-invasive LVI prediction diagnosis model by combining preoperative CT images w...
Natural language processing pipeline to extract prostate cancer-related information from clinical notes.
European radiology
Jun 6, 2024
OBJECTIVES: To develop an automated pipeline for extracting prostate cancer-related information from clinical notes.
Artificial Intelligence for Automatic Analysis of Shunt Treatment in Presurgery and Postsurgery Computed Tomography Brain Scans of Patients With Idiopathic Normal Pressure Hydrocephalus.
Neurosurgery
Jun 6, 2024
BACKGROUND AND OBJECTIVES: Ventriculo-peritoneal shunt procedures can improve idiopathic normal pressure hydrocephalus (iNPH) symptoms. However, there are no automated methods that quantify the presurgery and postsurgery changes in the ventricular vo...
Volumetric analysis of acute uncomplicated type B aortic dissection using an automated deep learning aortic zone segmentation model.
Journal of vascular surgery
Jun 6, 2024
BACKGROUND: Machine learning techniques have shown excellent performance in three-dimensional medical image analysis, but have not been applied to acute uncomplicated type B aortic dissection (auTBAD) using Society for Vascular Surgery (SVS) and Soci...
Computed Tomography Angiography
Deep Learning
Aged
Acute Disease
Aortic Aneurysm
Humans
Time Factors
Male
Aortography
Radiographic Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Retrospective Studies
Middle Aged
Automation
Female
Predictive Value of Tests
Disease Progression
Aortic Dissection
Reproducibility of Results
Aortic Aneurysm, Thoracic
Artificial intelligence-analyzed computed tomography in patients undergoing transcatheter tricuspid valve repair.
International journal of cardiology
Jun 6, 2024
BACKGROUND: Baseline right ventricular (RV) function derived from 3-dimensional analyses has been demonstrated to be predictive in patients undergoing transcatheter tricuspid valve repair (TTVR). The complex nature of these cumbersome analyses makes ...
Vancomycin trough concentration in adult patients with periprosthetic joint infection: A machine learning-based covariate model.
British journal of clinical pharmacology
Jun 6, 2024
AIMS: Although there are various model-based approaches to individualized vancomycin (VCM) administration, few have been reported for adult patients with periprosthetic joint infection (PJI). This work attempted to develop a machine learning (ML)-bas...
Knee-Loading Predictions with Neural Networks Improve Finite Element Modeling Classifications of Knee Osteoarthritis: Data from the Osteoarthritis Initiative.
Annals of biomedical engineering
Jun 6, 2024
Physics-based modeling methods have the potential to investigate the mechanical factors associated with knee osteoarthritis (OA) and predict the future radiographic condition of the joint. However, it remains unclear what level of detail is optimal i...
Prediction of the short-term efficacy and recurrence of photodynamic therapy in the treatment of oral leukoplakia based on deep learning.
Photodiagnosis and photodynamic therapy
Jun 6, 2024
BACKGROUND: The treatment of oral leukoplakia (OLK) with aminolaevulinic acid photodynamic therapy (ALA-PDT) is widespread. Nonetheless, there is variation in efficacy. Therefore, this study constructed a model for predicting the short-term efficacy ...
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