Latest AI and machine learning research in risk management for healthcare professionals.
In Magnetic Resonance Imaging (MRI), the success of deep learning-based under-sampled MR image recon...
In this paper, we propose a new face de-identification method based on generative adversarial networ...
The next step in the evolution of electronic medical record (EMR) use is the integration of artifici...
Previous studies have demonstrated the feasibility of reducing noise with deep learning-based method...
Human activity recognition and neural activity analysis are the basis for human computational neureo...
Natural musculoskeletal systems have been widely recognized as an advanced robotic model for designi...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...
The CONSORT 2010 statement provides minimum guidelines for reporting randomised trials. Its widespre...
The CONSORT 2010 (Consolidated Standards of Reporting Trials) statement provides minimum guidelines ...
The SPIRIT 2013 (The Standard Protocol Items: Recommendations for Interventional Trials) statement a...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...
The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespre...
Nanopore sequencing enables direct measurement of RNA molecules without conversion to cDNA, thus ope...
Invasive candidiasis is a major challenge to clinical medicine today. However, traditional fungal di...
This study is concerned with the state estimation issue for a kind of delayed artificial neural netw...
Early diagnosis is critical for the prevention and control of the coronavirus disease 2019 (COVID-19...
Stored red blood cells (RBCs) are needed for life-saving blood transfusions, but they undergo contin...
In this paper, a protocol-based finite-horizon H and l-l estimation approach is put forward to solve...
Surgeons and residents report using videos to prepare for procedures, with a preference for open ac...
Multicenter magnetic resonance imaging is gaining more popularity in large-sample projects. Since bo...
One of the key limitations for the clinical translation of photoacoustic imaging is penetration dept...