Latest AI and machine learning research in work force for healthcare professionals.
The development of large language models (LLMs) has significantly enhanced the capabilities of mul...
Novel optical imaging techniques, such as hyperspectral imaging (HSI) combined with machine learni...
Fine-tuning a pre-trained generative model has demonstrated good performance in generating promisi...
Since the onset of COVID-19, rural communities worldwide have faced significant challenges in acce...
The increasing administrative burden of medical documentation, particularly through Electronic Hea...
Federated Learning (FL) is a distributed machine learning scheme in which clients jointly particip...
OBJECTIVE: This scoping review aims to assess the current research landscape of the application and ...
In contemporary industrial systems, the prediction of remaining useful life (RUL) is recognized as a...
While Large Language Models (LLMs) are being quickly adapted to many domains, including healthcare...
AI and robotics aim to transform workplace landscapes in a several sectors such as manufacturing, lo...
Defining and measuring decision-making styles, also known as playstyles, is crucial in gaming, whe...
High-throughput phenotyping automates the mapping of patient signs to standardized ontology concep...
BACKGROUND: At present, the number and overall level of ultrasound (US) doctors cannot meet the medi...
The control strategy of rehabilitation robots should not only adapt to patients with different level...
The prediction of metabolite-protein interactions (MPIs) plays an important role in plant basic life...
To construct a robot intelligent discharge follow-up platform and explore its application effects in...
Diversity is a concept of prime importance in almost all disciplines based on information processi...
Objective. Evaluate the feasibility of Virtual Reality (VR) wayfinding training with aging adults,...
The concept of an intelligent augmented reality (AR) assistant has significant, wide-ranging appli...
Machine learning (ML) datasets, often perceived as neutral, inherently encapsulate abstract and di...
Medical images and radiology reports are crucial for diagnosing medical conditions, highlighting t...