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Consensus

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Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation.

JAMA cardiology
IMPORTANCE: Millions of clinicians rely daily on automated preliminary electrocardiogram (ECG) interpretation. Critical comparisons of machine learning-based automated analysis against clinically accepted standards of care are lacking.

[Chinese expert consensus on intracorporeal digestive reconstruction after robotic gastrectomy (2021 edition)].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
The robotic surgical system applied to gastrectomy is regarded as a safe technique which has similar short- and long-term outcomes compared to laparoscopic and open gastrectomy. With the iteration of anastomotic staplers and improvement of anastomoti...

Consensus vision.

Fertility and sterility
The goal of this Views and Interviews series was to bring together the thought leaders in the field and envision what the laboratory will look like in the future. This consensus piece strives to take the thoughts of those leaders and develop themes a...

[Consensus ensemble neural network multitarget model of RAGE inhibitory activity of chemical compounds].

Biomeditsinskaia khimiia
RAGE signal transduction via the RAGE-NF-κB signaling pathway is one of the mechanisms of inflammatory reactions that cause severe complications in diabetes mellitus. RAGE inhibitors are promising pharmacological compounds that require the developmen...

Implementation of new technology: how to best train the trainers.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland

Consensus-based distributed cooperative learning from closed-loop neural control systems.

IEEE transactions on neural networks and learning systems
In this paper, the neural tracking problem is addressed for a group of uncertain nonlinear systems where the system structures are identical but the reference signals are different. This paper focuses on studying the learning capability of neural net...

Building an effective ontology for assistive technology.

Studies in health technology and informatics
The aim of this paper was to develop and validate an ontology for one class of assistive technology (AT), namely physically controllable pointing devices, using the Delphi method. Six occupational therapists with AT expertise identified important ite...