Journal of pharmaceutical and biomedical analysis
Jul 8, 2018
Quality control (QC) is crucial for ensuring the safety and effectiveness of traditional Chinese medicines (TCMs). Due to extremely complicated phytochemical matrices and characteristic mode of "multi-component, multi-target, integrated adjustment", ...
BACKGROUND: The emergence of robotics is transforming industries around the world. Robot technologies are evolving exponentially, particularly as they converge with other functionalities such as artificial intelligence to learn from their environment...
OBJECTIVE: To explore the potential value of utilizing a commercially available cloud-based machine learning platform to predict surgical intervention in infants with prenatal hydronephrosis (HN).
ORL; journal for oto-rhino-laryngology and its related specialties
Jun 20, 2018
The first application of robotic technology in surgery was described in 1985 when a robot was used to define the trajectory for a stereotactic brain biopsy. Following its successful application in a variety of surgical operations, the da Vinci® robot...
BMC medical informatics and decision making
Jun 15, 2018
BACKGROUND: Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and ...
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jun 12, 2018
Artificial intelligence (AI) is emerging as a technology with the power to transform established industries, and with applications from automated manufacturing to advertising and facial recognition to fully autonomous transportation. Advances in each...
Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare applications. However, few works exist w...
Journal of the Air & Waste Management Association (1995)
May 24, 2018
UNLABELLED: This paper presents one of the first applications of deep learning (DL) techniques to predict air pollution time series. Air quality management relies extensively on time series data captured at air monitoring stations as the basis of ide...