Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Breathing monitoring is an efficient way of human health sensing and predicting numerous diseases. V...
BACKGROUND: Few, if any estimates of cost-effectiveness for locomotor training strategies following ...
Prior studies on technical skills use small collections of videos for assessment. However, there is...
Robot-assisted rehabilitation training is an effective way to assist rehabilitation therapy. So far,...
Our aim was to predict future high-cost patients with machine learning using healthcare claims data....
PURPOSE: Robotic gait training is relatively new in the world of pediatric rehabilitation. Prelimina...
Nowadays, there is an increasing use of digital technologies and Artificial Intelligence (AI) such a...
Ophthalmology is one of the most enriched fields, allowing the domain of artificial intelligence to ...
BACKGROUND: Several automated skill-assessment approaches have been proposed for robotic surgery, bu...
Neural activity is often described in terms of population-level factors extracted from the responses...
This paper proposes a two phases-based training method to design the codewords to map the cluster in...
BACKGROUND: Robot-assisted training is used as a new rehabilitation training method for the treatmen...
This paper addresses the problem of multi-robot task scheduling in Antarctic environments. There are...
BACKGROUND: Participant recruitment is a barrier to successful clinical research. One strategy to im...
The purpose of this paper is to systematically sort out and analyze the cutting-edge research on the...
The growing and aging of the world population have driven the shortage of medical resources in recen...
Tissue examination by hand remains an essential technique in clinical practice. The effective applic...
Since the advent of U-Net, fully convolutional deep neural networks and its many variants have compl...
Graph networks can model data observed across different levels of biological systems that span from ...
As two important textual modalities in electronic health records (EHR), both structured data (clinic...
Data-independent acquisition (DIA) of tandem mass spectrometry spectra has emerged as a promising te...