Latest AI and machine learning research in fda general for healthcare professionals.
OBJECTIVE: Prophylactic central lymph node dissection(CLND) is a controversial issue in papillary th...
Our visual environment is full of texture-"stuff" like cloth, bark, or gravel as distinct from "thin...
Decisional support systems based on machine learning (ML) in medicine are gaining a growing interest...
OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event report...
OBJECTIVE: Every year, thousands of patients die waiting for disability benefits from the Social Sec...
Deep learning is a class of machine learning methods that are gaining success and attracting interes...
We consider feed-forward and auto-regulation feed-forward neural (weighted) coupled cell networks. I...
BACKGROUND: Non-intrusive inspection systems based on X-ray radiography techniques are routinely use...
Individual items of any agricultural commodity are different from each other in terms of colour, sha...
A six sigma fishbone analysis approach was used to develop a machine learning model in SAS, Version ...
The idea of reproducing himself with the use of a mechanical robot structure has been in man's imagi...
MOTIVATION: Reconstructing regulatory networks from expression and interaction data is a major goal ...
OBJECTIVE: To explore the effects of different concentrations of putrescine on proliferation, migrat...
The aim of this paper was to develop and validate an ontology for one class of assistive technology ...