Work Force

Telehealth-Enabled In-Home Elbow Rehabilitation for Brachial Plexus Injuries Using Deep-Reinforcement-Learning-Assisted Telepresence Robots.

Due to damage to the network of nerves that regulate the muscles and feeling in the shoulder, arm, a...

Exploring generative AI's role in alleviating nursing workload and burnout in Taiwan.

Low-force human-human hand interactions induce gait changes through sensorimotor engagement instead of direct mechanical effects.

Physical human-robot interactions (pHRI) often provide mechanical force and power to aid walking wit...

The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling.

There has been a growing recognition of the need for diversity and inclusion in scientific fields. T...

Speed, accuracy, and efficiency: The promises and practices of digitization in pathology.

Digitization is often presented in policy discourse as a panacea to a multitude of contemporary prob...

Retrospective validation of MetaSystems' deep-learning-based digital microscopy platform with assistance compared to manual fluorescence microscopy for detection of mycobacteria.

UNLABELLED: This study aimed to validate Metasystems' automated acid-fast bacilli (AFB) smear micros...

Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning.

X-ray imaging plays a crucial role in diagnostic medicine. Yet, a significant portion of the global ...

Edge roughness quantifies impact of physician variation on training and performance of deep learning auto-segmentation models for the esophagus.

Manual segmentation of tumors and organs-at-risk (OAR) in 3D imaging for radiation-therapy planning ...

Reservoir parameters prediction based on spatially transferred long short-term memory network.

Reservoir reconstruction, where parameter prediction plays a key role, constitutes an extremely impo...

Effect of Light-Emitting Grid Panel on Indoor Aquaculture for Measuring Fish Growth.

This study is related to Smart Aqua Farm, which combines artificial intelligence (AI) and Internet o...

Conception and prospective multicentric validation of a Robotic Surgery Training Curriculum (RoSTraC) for surgical residents: from simulation via laboratory training to integration into the operation room.

There is a lack of training curricula and educational concepts for robotic-assisted surgery (RAS). I...

Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.

Bias in neural network model training datasets has been observed to decrease prediction accuracy for...

Machine Ethics in Care: Could a Moral Avatar Enhance the Autonomy of Care-Dependent Persons?

It is a common view that artificial systems could play an important role in dealing with the shortag...

ProkBERT family: genomic language models for microbiome applications.

BACKGROUND: In the evolving landscape of microbiology and microbiome analysis, the integration of ma...

Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy.

Despite the high prevalence and burden of mental health conditions, there is a global shortage of me...

Perturbation diversity certificates robust generalization.

Whilst adversarial training has been proven to be one most effective defending method against advers...

Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review.

BACKGROUND: Skin cancer is one of the most common forms worldwide, with a significant increase in in...

Automated artificial intelligence-based phase-recognition system for esophageal endoscopic submucosal dissection (with video).

BACKGROUND AND AIMS: Endoscopic submucosal dissection (ESD) for superficial esophageal cancer is a m...

DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning.

It is wise to investigate past and present epidemics in the hopes of profiting from them and being b...

Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology.

INTRODUCTION: Artificial intelligence (AI)-based technologies embody countless solutions in radiatio...

The emergence of machine learning force fields in drug design.

In the field of molecular simulation for drug design, traditional molecular mechanic force fields an...