Latest AI and machine learning research in work force for healthcare professionals.
Quantifying uncertainty of predictions has been identified as one way to develop more trustworthy ar...
Due to subjectivity in refereeing, the results of race walking are often questioned. To overcome thi...
High performance of deep learning models on medical image segmentation greatly relies on large amoun...
In this work, we propose a convolutional neural network (CNN)-based multi-slice ideal model observer...
Artificial intelligence-based models and robust computational methods have expedited the data-to-kno...
Cyclic peptides have emerged as a promising class of therapeutics. However, their design remains ch...
Robot-aided gait training (RAGT) plays a crucial role in providing high-dose and high-intensity task...
Having to face the challenges posed by a shortage of skilled care workers and an increasing number o...
While laparoscopic simulation-based training is a well-established component of general surgery trai...
Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise for p...
This is an era of uncertainty, during which adaptability is a key capability to survival and future ...
BACKGROUND: Stroke survivors often experience balance and gait problems, which can affect their qual...
The United Nations has set a Sustainable Development Goal in education to be met hopefully by 2030. ...
Diversity is supposed to create better groups and societies but sometimes fails. It is explained why...
BACKGROUND: Nurses' high workload can result in depressive symptoms. However, the research has under...
Over the past few years, many machine learning-based scoring functions for predicting the binding of...
As governments and industry turn to increased use of automated decision systems, it becomes essentia...
Although reinforcement learning (RL) has made numerous breakthroughs in recent years, addressing rew...
. Artificial intelligence (AI) methods have gained popularity in medical imaging research. The size ...
Semi-supervised learning (SSL) methods show their powerful performance to deal with the issue of dat...
Predictive modeling is useful but very challenging in biological image analysis due to the high cost...