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Clinical validation of a commercially available deep learning ...


Clinical validation of a commercially available deep learning ...

This work successfully validated a commercially available CNN-based software for sCT generation. Results were comparable for sCT and CT ...

Clinical validation of a commercially available deep learning ...

Most studies on synthetic computed tomography (sCT) generation for brain rely on in-house developed methods. They often focus on performance ...

Clinical validation of a commercially available deep learning ...

Conclusions. This is to the best of our knowledge the first study to validate a commercial sCT generation software feasible in the treatment of ...

(PDF) Clinical validation of a commercially available deep learning ...

They often focus on performance rather than clinical feasibility. Therefore, the aim of this work was to validate sCT images generated using a commercially ...

Clinical validation of commercial deep-learning based auto ...

Thus, this study aims to clinically validate the generic models for HNC OAR autocontouring of two commercially available deep-learning-based ...

Clinical validation of a commercially available deep learning ...

Dive into the research topics of 'Clinical validation of a commercially available deep learning software for synthetic CT generation for brain'. Together they ...

Clinical validation of deep learning algorithms for radiotherapy ...

We present a clinical validation strategy for AI models. We found that in silico geometric segmentation metrics might not correlate with clinical utility of the ...

External validation of a commercially available deep learning ...

Artificial intelligence is a rapidly-growing field of research that shows great promise for medical diagnosis [1, 2]. A number of deep learning algorithms are ...

Clinical validation of commercial deep-learning based auto ...

... commercially available deep-learning-based auto-segmentation (DLAS) tools in a single institutional clinical applications.MethodsTwenty-two ...

Derivation, external and clinical validation of a deep learning ...

The only other deep-learning based approach to ICP monitoring required transcranial doppler, which is specialized and not widely available. aICP ...

Commercial AI devices lack clinical validation, study finds - AuntMinnie

To shed light on the issue, the researchers looked at 521 AI or machine-learning device authorizations. They found that 144 were ...

Clinical validation of a commercially available deep learning ...

Fingerprint. Dive into the research topics of 'Clinical validation of a commercially available deep learning software for synthetic CT generation for brain' ...

(PDF) Clinical validation of commercial deep-learning based auto ...

... commercially available deep-learning-based auto-segmentation (DLAS) tools in a single institutional clinical applications. Methods Twenty ...

Clinical Validation of a Deep Learning-Based Software for Lumbar ...

... commercially available in Taiwan as a Class II medical device ... medical purposes and easily accessible from routine health checks, especially in Asia.

Diagnostic accuracy of a commercially available deep-learning ...

The aim of this study was to independently validate the performance of an AI algorithm in detecting traumatic injuries on supine AP chest ...

External Validation of Deep Learning Algorithms for Radiologic ...

Indeed, prior studies of DL algorithms for nonclassification tasks in medical imaging found that larger, multi-institutional development ...

Clinical Validation of Deep Learning Algorithms for Lung Cancer ...

We haven't found any related articles. ... The content on this site is intended for healthcare professionals. We use cookies to help provide and enhance our ...

Table 2 Patient overview with details about treatment, tumour ...

From: Clinical validation of a commercially available deep learning software for synthetic CT generation for brain. Patient. Glioma (G)/metastasis (M).

Clinical Validation and the Role of Artificial Intelligence

Machine learning uses neural networks to “learn” what information represents a clinical indicator for a diagnosis. The process requires the ...

Clinical Validation of a Deep Learning Algorithm for Detection of ...

The purpose of our study was to evaluate the performance and added value of a commercially-available DL algorithm for detecting pneumonia on CRs ...