Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Patient falls are a common safety event type that impairs the healthcare quality. Strategies includi...
This paper mainly focuses on the deep learning application in classifying the stage of diabetic reti...
ISO/TC173 is a technical committee, in charge of international standardization of assistive products...
The antiphospholipid antibody syndrome is defined by the presence of antiphospholipid antibodies in ...
This study documents reporting errors in a sample of over 250,000 p-values reported in eight major p...
Ankle edema an important symptom for monitoring patients with chronic systematic diseases. It is an ...
OBJECTIVES: In the field of laboratory medicine, minimizing errors and establishing standardization ...
The migration of imaging reports to electronic medical record systems holds great potential in terms...
The aim is to study the effects and underlying mechanisms of astragalus polysaccharide (APS) on the ...
Data quality was placed as a major reason for the low utility of patient safety event reporting syst...
To compare term occurrences in free-text radiology reports and RSNA reporting templates, we selected...
Automated detection methods can address delays and incompleteness in cancer case reporting. Existing...
Over the past decade, improving healthcare quality and safety through patient safety event reporting...
As predicted by fuzzy-trace theory, people with a range of training—from untrained adolescents to ex...