Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementat...
The risk stratification system of the American College of Radiology Thyroid Imaging Reporting and D...
The CONSORT 2010 statement provides minimum guidelines for reporting randomised trials. Its widespre...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...
The SPIRIT 2013 (The Standard Protocol Items: Recommendations for Interventional Trials) statement a...
The CONSORT 2010 (Consolidated Standards of Reporting Trials) statement provides minimum guidelines ...
The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespre...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...
Due to datasets have continuously grown, efforts have been performed in the attempt to solve the pro...
BACKGROUND: Critical thyroid nodule features are contained in unstructured ultrasound (US) reports. ...
Diagnosis prediction is an important predictive task in health care that aims to predict the patient...
Colorectal cancer has a great incidence rate worldwide, but its early detection significantly increa...
Deep auto-encoders (DAEs) have achieved great success in learning data representations via the power...
Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe with alarmin...
Detecting and analyzing patient insights from social media enables healthcare givers to better under...
Substantial progress has been made towards implementing automated radiology reporting models based o...
PURPOSE: Deep learning has recently shown its outstanding performance in biomedical image semantic s...
The existing flaws in both conducting and reporting of research have been outlined and criticized in...
Artificial intelligence is becoming increasingly important in dermatology, with studies reporting ac...
Machine learning (ML) is revolutionizing anesthesiology research. Unlike classical research methods ...
OBJECTIVE: To systematically examine the design, reporting standards, risk of bias, and claims of st...