3 天前 - … characterization, and consistency in classification, potentially addressing inter-observer
variability. However, the adoption of AI in clinical practice requires robust validation and …

5 天前 - … seen in person, at our outpatient clinic. After March 2020, decision on the type of
preoperative visit since the pandemic was according to clinic closures due to infection surges, …

5 天前 - … in clinical practice. We have not yet evaluated the prognostic value of this classification,
… The main advantage of this pattern recognition- based classification is the independent …

5 天前 - … Abstract: In clinical practices, machine learning (ML) technology plays an important
… clinical features were measured like BMI. This dataset experimented with 11 classification …

6 天前 - … recognized as new entity in the international classification of disease, physicians
have … tool that can be used in routine clinical practice for early diagnosis and stratification of …

6 天前 - … This classification explains why the most effective medications are corticosteroids
and … (RCTs) now support our ‘best clinical practice’ summarised in an integrated care pathway …

6 天前 - … practices. Moreover, studies providing a standardized definition based on specific
medical practices, namely clinical practice… are variations in actual clinical practices, leading to …

7 天前 - … recently proposed diagnostic criteria and classification of optic neuritis are relevant
for our clinical practice. Our interpretation of clinical requirement for definite and possible …

7 天前 - … of intelligent systems into clinical practice. Notably, applying ML … can streamline
the classification model and reduce … In this study, the linear SVM classification algorithm was …

7 天前 - … the use of DNA methylation for variant classification in clinical practice [5]. De Sabando
… Functional studies of a genetic variants effect can help with classification. Calderan et al…