Staffing & Scheduling

The effect and exploration of continuous positive pressure ventilation combined with upper limb robot training on upper limb function in stroke patients with OSAHS.

FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis.

Early assessment, with the help of machine learning methods, can aid clinicians in optimizing the di...

Application technology for bioherbicides: challenges and opportunities with dry inoculum and liquid spray formulations.

Bioherbicides offer many potential benefits as part of an integrated weed management system or a tot...

Human-in-the-Loop Optimization of Wearable Robotic Devices to Improve Human-Robot Interaction: A Systematic Review.

This article presents a systematic review on wearable robotic devices that use human-in-the-loop opt...

A framework for generalizable neural networks for robust estimation of eyelids and pupils.

Deep neural networks (DNNs) have enabled recent advances in the accuracy and robustness of video-ocu...

Maintaining innovation: How to make sewer robots and innovation policy work in Barcelona.

This article explores how innovation logics infiltrate problem and value definitions in maintenance ...

A review on brain tumor segmentation based on deep learning methods with federated learning techniques.

Brain tumors have become a severe medical complication in recent years due to their high fatality ra...

Artificial Intelligence-powered automatic volume calculation in medical images - available tools, performance and challenges for nuclear medicine.

Volumetry is crucial in oncology and endocrinology, for diagnosis, treatment planning, and evaluatin...

Predicting intratumoral fluid pressure and liposome accumulation using physics informed deep learning.

Liposome-based anticancer agents take advantage of the increased vascular permeability and transvasc...

Combining brain-computer interfaces with deep reinforcement learning for robot training: a feasibility study in a simulation environment.

Deep reinforcement learning (RL) is used as a strategy to teach robot agents how to autonomously lea...

AI-assisted system improves the work efficiency of cytologists via excluding cytology-negative slides and accelerating the slide interpretation.

Given the shortage of cytologists, women in low-resource regions had inequitable access to cervical ...

Performance Analysis in Children of Traditional and Deep Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults.

Although primary lung cancer is rare in children, chest CT is commonly performed to assess for lung...

Time-optimized protein NMR assignment with an integrative deep learning approach using AlphaFold and chemical shift prediction.

Chemical shift assignment is vital for nuclear magnetic resonance (NMR)-based studies of protein str...

A knowledge-guided pre-training framework for improving molecular representation learning.

Learning effective molecular feature representation to facilitate molecular property prediction is o...

Novel Wearable HD-EMG Sensor With Shift-Robust Gesture Recognition Using Deep Learning.

In this work, we present a hardware-software solution to improve the robustness of hand gesture reco...

Artificial intelligence in sport: Exploring the potential of using ChatGPT in resistance training prescription.

OpenAI's Chat Generative Pre-trained Transformer (ChatGPT) technology enables conversational interac...

Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging.

Deep learning in medical imaging has the potential to minimize the risk of diagnostic errors, reduce...

Multi-Adaptive Optimization for multi-task learning with deep neural networks.

Multi-task learning is a promising paradigm to leverage task interrelations during the training of d...

Deep learning in computed tomography super resolution using multi-modality data training.

BACKGROUND: One of the limitations in leveraging the potential of artificial intelligence in X-ray i...

Leveraging ChatGPT for ophthalmic education: A critical appraisal.

In recent years, the advent of artificial intelligence (AI) has transformed many sectors, including ...

Effects of overground gait training assisted by a wearable exoskeleton in patients with Parkinson's disease.

BACKGROUND: In the recent past, wearable devices have been used for gait rehabilitation in patients ...