Latest AI and machine learning research in critical care for healthcare professionals.
Machine learning method has become a popular, convenient and efficient computing tool applied to man...
Accurate prediction of postoperative complications can inform shared decisions regarding prognosis, ...
Three-dimensional (3D) printing is drastically redefining medicine production, offering digital prec...
OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment of a deep learning (DL) mode...
Due to the high occupational pressure suffered by intensive care units (ICUs), a correct estimation ...
BACKGROUND: Intensive Care Unit (ICU) readmissions represent both a health risk for patients,with in...
In the medical field, various clinical information has been accumulated to help clinicians provide p...
INTRODUCTION: Despite a growing interest in lung MRI, its broader use in a clinical setting remains ...
With the rapid development of artificial intelligence and image processing technology, medical imagi...
N4-methylcytosine (4mC) is an important epigenetic mechanism, which regulates many cellular processe...
Advances in instrumentation and technique have facilitated minimally invasive surgeries for cardiac ...
This study aimed to assess the image quality and accuracy of respiratory-gated real-time two-dimensi...
Neural network (NN) has been tentatively combined into multi-objective genetic algorithms (MOGAs) to...
The concept of the Internet of Medical Things brings a promising option to utilize various electroni...
Synergistic drug combinations have demonstrated effective therapeutic effects in cancer treatment. D...
We present our novel deep multi-task learning method for medical image segmentation. Existing multi-...
The cardiopulmonary exercise test (CPET) constitutes a gold standard for the assessment of an indivi...
Traumatic brain injury (TBI) engenders traumatic necrosis and penumbra-areas of secondary neural inj...
This paper proposes a two phases-based training method to design the codewords to map the cluster in...
This paper addresses the problem of multi-robot task scheduling in Antarctic environments. There are...
Over the past years, convolutional neural networks based methods have dominated the field of medical...