AIMC Topic: Aged, 80 and over
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Automatic detection of pulmonary embolism on computed tomography pulmonary angiogram scan using a three-dimensional convolutional neural network.
European journal of radiology
Jun 21, 2024
OBJECTIVE: To propose a convolutional neural network (EmbNet) for automatic pulmonary embolism detection on computed tomography pulmonary angiogram (CTPA) scans and to assess its diagnostic performance.
Development and validation of machine learning models to predict perioperative transfusion risk for hip fractures in the elderly.
Annals of medicine
Jun 20, 2024
BACKGROUND: Patients with hip fractures frequently need to receive perioperative transfusions of concentrated red blood cells due to preoperative anemia or surgical blood loss. However, the use of perioperative blood products increases the risk of ad...
Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen.
AJR. American journal of roentgenology
Jun 20, 2024
Artificial intelligence (AI) algorithms improved detection of incidental pulmonary embolism (IPE) on contrast-enhanced CT (CECT) examinations in retrospective studies; however, prospective validation studies are lacking. The purpose of this study w...
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...
Aged
Aged, 80 and over
Male
Vascular Endothelial Growth Factor A
Angiogenesis Inhibitors
Humans
Intravitreal Injections
Treatment Outcome
Ranibizumab
Artificial Intelligence
Wet Macular Degeneration
Follow-Up Studies
Retrospective Studies
Subretinal Fluid
Visual Acuity
Female
Tomography, Optical Coherence
Improved vascular depiction and image quality through deep learning reconstruction of CT hepatic arteriography during transcatheter arterial chemoembolization.
Japanese journal of radiology
Jun 18, 2024
PURPOSE: To evaluate the effect of deep learning reconstruction (DLR) on vascular depiction, tumor enhancement, and image quality of computed tomography hepatic arteriography (CTHA) images acquired during transcatheter arterial chemoembolization (TAC...
A new methodology for determining the central pressure waveform from peripheral measurement using Fourier-based machine learning.
Artificial intelligence in medicine
Jun 18, 2024
Radial applanation tonometry is a well-established technique for hemodynamic monitoring and is becoming popular in affordable non-invasive wearable healthcare electronics. To assess the central aortic pressure using radial-based measurements, there i...
Development and validation of an artificial intelligence model for the classification of hip fractures using the AO-OTA framework.
Acta orthopaedica
Jun 18, 2024
BACKGROUND AND PURPOSE: Artificial intelligence (AI) has the potential to aid in the accurate diagnosis of hip fractures and reduce the workload of clinicians. We primarily aimed to develop and validate a convolutional neural network (CNN) for the au...
[Samii: a robotic mediation application to improve geriatric care].
Soins. Gerontologie
Jun 18, 2024
The emergence of social robots in gerontology has introduced new playful and reassuring media into nursing homes and geriatric wards. Despite promising results, their complexity hinders their widespread adoption. The Intelligent Interactive Care Syst...
Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis.
Clinical nutrition ESPEN
Jun 17, 2024
BACKGROUND & AIMS: Accurate diagnosis of sarcopenia requires evaluation of muscle quality, which refers to the amount of fat infiltration in muscle tissue. In this study, we aim to investigate whether we can independently predict mortality risk in tr...
Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.
European stroke journal
Jun 16, 2024
BACKGROUND: Predicting functional impairment after intracerebral hemorrhage (ICH) provides valuable information for planning of patient care and rehabilitation strategies. Current prognostic tools are limited in making long term predictions and requi...
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