Work Force

Training Induced Improvement on Human Perception of the Force Feedback Provided by A Soft Robotic Glove.

Creating haptic interface by glove-based wearable robotic system has become an increasingly interest...

sEMG-based Motion Recognition for Robotic Surgery Training - A Preliminary Study.

Robotic surgery represents a major breakthrough in the evolution of medical technology. Accordingly,...

Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data.

Many odontocetes produce whistles that feature characteristic contour shapes in spectrogram represen...

Symbiosis of an artificial neural network and models of biological neurons: Training and testing.

In this paper, we show the possibility of creating and identifying the features of an artificial neu...

A machine learning potential for simulating infrared spectra of nanosilicate clusters.

The use of machine learning (ML) in chemical physics has enabled the construction of interatomic pot...

Using artificial intelligence on dermatology conditions in Uganda: a case for diversity in training data sets for machine learning.

BACKGROUND: In pursuit of applying universal non-biased Artificial Intelligence (AI) in healthcare, ...

Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms.

Background Handcrafted radiomics and deep learning (DL) models individually achieve good performance...

Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learning.

The expanding field of epitranscriptomics might rival the epigenome in the diversity of biological p...

ENRICHing medical imaging training sets enables more efficient machine learning.

OBJECTIVE: Deep learning (DL) has been applied in proofs of concept across biomedical imaging, inclu...

Can Synthetic Images Improve CNN Performance in Wound Image Classification?

For artificial intelligence (AI) based systems to become clinically relevant, they must perform well...

Few-Shot and Prompt Training for Text Classification in German Doctor's Letters.

To classify sentences in cardiovascular German doctor's letters into eleven section categories, we u...

Health-Related Content in Transformer-Based Language Models: Exploring Bias in Domain General vs. Domain Specific Training Sets.

In this communication, we demonstrate that the bias observed in domain general training sets with he...

Toward Relational Diversity for AI in Psychotherapy.

Could an artificial intelligence approach to prior authorization be more human?

Prior authorization (PA) may be a necessary evil within the healthcare system, contributing to physi...

The effect of training using an upper limb rehabilitation robot (HEXO-UR30A) in chronic stroke patients: A randomized controlled trial.

BACKGROUND: Upper limb robotic rehabilitation can be beneficial to the patients when applied appropr...

Evaluation of diagnosis diversity in artificial intelligence datasets: a scoping review.

Resident Training in Robotic Thoracic Surgery.

The use of a robotic surgical platform has become common place in thoracic surgery programs througho...

Growing ecosystem of deep learning methods for modeling protein-protein interactions.

Numerous cellular functions rely on protein-protein interactions. Efforts to comprehensively charact...

[Exploration and practice of artificial intelligence assisted primary vision health management].

It has attracted much attention worldwide that the application of artificial intelligence (AI) in pr...

ASAS-NANP symposium: mathematical modeling in animal nutrition-Making sense of big data and machine learning: how open-source code can advance training of animal scientists.

Advancements in precision livestock technology have resulted in an unprecedented amount of data bein...

ChatGPT: opportunities and risks in the fields of medical care, teaching, and research.

ChatGPT is a virtual assistant with artificial intelligence (AI) that uses natural language to commu...