Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Artificial intelligence in medicine can help improve the accuracy and efficiency of diagnostics, selection of therapies and prediction of outcomes. Machine learning describes a subset of artificial intelligence that utilizes algorithms that can learn modeling functions from datasets. More complex algorithms, or deep learning, can similarly learn modeling functions for a variety of tasks leveraging...
As a traditional Chinese sport, competitive martial arts routines have a long history. The competition rules are the unified norms and standards formulated for sports competitions. They are a yardstick for referees to judge the technical level and competitive ability of athletes and an essential basis for coaches during training. In particular, the new rules increase the difficulty of martial arts...
Postgraduate training in surgical specialties is one of the longest training programmes in the medical field. Most of the surgical training programmes...
Container terminals are playing an increasingly important role in the global logistics network; however, the programming, planning, scheduling, and de...
OBJECTIVE: To investigate the effectiveness of robot-assisted therapy on balance function in stroke survivors.
Human-robot collaboration is becoming ever more widespread in industry because of its adaptability. Conventional safety elements are used when convert...
Small molecule retention time prediction is a sophisticated task because of the wide variety of separation techniques resulting in fragmented data ava...
In silico analysis of biological activity data has become an essential technique in pharmaceutical development. Specifically, the so-called proteochem...
The Kováts retention index is a dimensionless quantity that characterizes the rate at which a compound is processed through a gas chromatography colum...
Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI) field. Modern radiation oncology is based on the exploi...
BACKGROUND: The ankle joint complex (AJC) is of fundamental importance for balance, support, and propulsion. However, it is particularly susceptible t...
Microbial rhodopsins are photoreceptive membrane proteins, which are used as molecular tools in optogenetics. Here, a machine learning (ML)-based expe...
The traditional medical material distribution management system method lacks systematic analysis and relies heavily on the subjective judgment of rela...
The untethered exoskeletal robot provides patients with the freest and realistic walking experience by assisting them based on their intended movement...
We developed machine learning (ML) algorithms to predict abnormal tau accumulation among patients with prodromal AD. We recruited 64 patients with pro...
Understanding how animals regulate their gait during locomotion can give biological insight and inspire controllers for robots. Why animals use the ga...
Proprioceptive training is a neurorehabilitation approach known to improve proprioceptive acuity and motor performance of a joint/limb system. Here, w...
Class imbalance poses a challenge for developing unbiased, accurate predictive models. In particular, in image segmentation neural networks may overfi...
Evolution of gait rehabilitation robotic devices for stroke survivors has aimed at providing transparency to user's efforts and implementing 'assist-a...
New technologies with unprecedented agentic capabilities (i.e., action selection, protocol development) are now introduced in organizations such as Bi...