AIMC Topic: Proof of Concept Study
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Machine learning to predict environmental dose rates from a radionuclide therapy service - a proof of concept study.
Journal of radiological protection : official journal of the Society for Radiological Protection
Jul 7, 2023
The Ionising Radiation Regulations 2017 requires prior risk assessment calculations and regular environmental monitoring of radiation doses. However, the accuracy of prior risk assessments is limited by assumptions and monitoring only provides retros...
An Image-Based Human-Robot Collision Avoidance Scheme: A Proof of Concept.
IISE transactions on occupational ergonomics and human factors
Jun 22, 2023
OCCUPATIONAL APPLICATIONSIn modern industrial plants, collisions between humans and robots pose a significant risk to occupational safety. To address this concern, we sought to devise a reliable system for human-robot collision avoidance system emplo...
Response predictor for pigment reduction after one session of photo-based therapy using convolutional neural network: A proof of concept study.
Photodermatology, photoimmunology & photomedicine
Jun 12, 2023
BACKGROUND: Identifying treatment responders after a single session of photo-based procedure for hyperpigmentary disorders may be difficult.
Deep learning analysis of endometrial histology as a promising tool to predict the chance of pregnancy after frozen embryo transfers.
Journal of assisted reproduction and genetics
Mar 2, 2023
PURPOSE: Endometrial histology on hematoxylin and eosin (H&E)-stained preparations provides information associated with receptivity. However, traditional histological examination by Noyes' dating method is of limited value as it is prone to subjectiv...
Laser ultrasonic imaging of complex defects with full-matrix capture and deep-learning extraction.
Ultrasonics
Dec 20, 2022
Phased array-based full-matrix ultrasonic imaging has been the golden standard for the non-destructive evaluation of critical components. However, the piezoelectric phased array cannot be applied in hazardous environments and online monitoring due to...
A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw.
Scientific reports
Dec 7, 2022
The ability to understand whether embryos survive the thaw process is crucial to transferring competent embryos that can lead to pregnancy. The objective of this study was to develop a proof of concept deep learning model capable of assisting embryol...
Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson's disease: A proof of concept study.
PloS one
Oct 20, 2022
Optimal placement of deep brain stimulation (DBS) therapy for treating movement disorders routinely relies on intraoperative motor testing for target determination. However, in current practice, motor testing relies on subjective interpretation and c...
Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare - a proof of concept study for the prediction of coronary artery calcification scores.
Journal of integrative bioinformatics
Sep 5, 2022
The implementation of Artificial Intelligence (AI) still faces significant hurdles and one key factor is the access to data. One approach that could support that is federated machine learning (FL) since it allows for privacy preserving data access. F...
Deep learning-based synthetization of real-time in-treatment 4D images using surface motion and pretreatment images: A proof-of-concept study.
Medical physics
Jul 22, 2022
PURPOSE: To develop a deep learning model that maps body surface motion to internal anatomy deformation, which is potentially applicable to dose-free real-time 4D virtual image-guided radiotherapy based on skin surface data.
Ability to Predict Melanoma Within 5 Years Using Registry Data and a Convolutional Neural Network: A Proof of Concept Study.
Acta dermato-venereologica
Jul 13, 2022
Research relating to machine learning algorithms, including convolutional neural networks, has increased during the past 5 years. The aim of this pilot study was to investigate how accurately a convolutional neural network, trained on Swedish registr...
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