AIMC Topic: Feasibility Studies
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Application of deep learning algorithms in classification and localization of implant cutout for the postoperative hip.
Skeletal radiology
May 21, 2024
OBJECTIVE: This study aims to explore the feasibility of employing convolutional neural networks for detecting and localizing implant cutouts on anteroposterior pelvic radiographs.
A machine learning-based approach to predict energy layer for each field in spot-scanning proton arc therapy for lung cancer: A feasibility study.
Medical physics
May 21, 2024
BACKGROUND: Determining the optimal energy layer (EL) for each field, under considering both dose constraints and delivery efficiency, is crucial to promoting the development of proton arc therapy (PAT) technology.
Feasibility and acceptance of artificial intelligence-based diabetic retinopathy screening in Rwanda.
The British journal of ophthalmology
May 21, 2024
BACKGROUND: Evidence on the practical application of artificial intelligence (AI)-based diabetic retinopathy (DR) screening is needed.
Deploying Robot-Led Activities for People with Dementia at Aged Care Facilities: A Feasibility Study.
Journal of the American Medical Directors Association
May 19, 2024
OBJECTIVES: To explore the feasibility of deploying robot-led activities for people with dementia living in aged care facilities.
Deep learning-based super-resolution of structural brain MRI at 1.5 T: application to quantitative volume measurement.
Magma (New York, N.Y.)
May 17, 2024
OBJECTIVE: This study investigated the feasibility of using deep learning-based super-resolution (DL-SR) technique on low-resolution (LR) images to generate high-resolution (HR) MR images with the aim of scan time reduction. The efficacy of DL-SR was...
Low tube voltage and deep-learning reconstruction for reducing radiation and contrast medium doses in thin-slice abdominal CT: a prospective clinical trial.
European radiology
May 16, 2024
OBJECTIVES: To investigate the feasibility of low-radiation dose and low iodinated contrast medium (ICM) dose protocol combining low-tube voltage and deep-learning reconstruction (DLR) algorithm in thin-slice abdominal CT.
Deep learning-based detection of irreversible pulpitis in primary molars.
International journal of paediatric dentistry
May 9, 2024
BACKGROUND: Changes in healthy and inflamed pulp on periapical radiographs are traditionally so subtle that they may be imperceptible to human experts, limiting its potential use as an adjunct clinical diagnostic feature.
Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter study.
La Radiologia medica
May 9, 2024
PURPOSE: To investigate the feasibility of an artificial intelligence (AI)-based semi-automated segmentation for the extraction of ultrasound (US)-derived radiomics features in the characterization of focal breast lesions (FBLs).
Microscope-integrated optical coherence tomography for in vivo human brain tumor detection with artificial intelligence.
Journal of neurosurgery
May 3, 2024
OBJECTIVE: It has been shown that optical coherence tomography (OCT) can identify brain tumor tissue and potentially be used for intraoperative margin diagnostics. However, there is limited evidence on its use in human in vivo settings, particularly ...
Resist-as-Needed ADL Training With SPINDLE for Patients With Tremor.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 3, 2024
Individuals with neurological disorders often exhibit altered manual dexterity and muscle weakness in their upper limbs. These motor impairments with tremor lead to severe difficulties in performing Activities of Daily Living (ADL). There is a critic...
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