Latest AI and machine learning research in risk management for healthcare professionals.
Keeping students engaged and motivated during online or class discussion may be challenging. Artific...
Community correction institutions in China frequently employ the Symptom Checklist-90 (SCL-90) and t...
INTRODUCTION: Cardiac rehabilitation (CR) delivered by rehabilitation specialists in a healthcare se...
Preclinical management of patients with acute chest pain and their identification as candidates for ...
Here, we present a workflow for analyzing multi-omics data of plasma samples in patients with post-C...
As the health care industry increasingly embraces large language models (LLMs), understanding the co...
BACKGROUND: Respiratory diseases, including active tuberculosis (TB), asthma, and chronic obstructiv...
Knee rehabilitation therapy after trauma or neuromotor diseases is fundamental to restore the joint ...
PURPOSE: To explore diagnostic deep learning for optimizing the prostate MRI protocol by assessing t...
The accurate estimation of energy expenditure from simple objective accelerometry measurements provi...
ChatGPT/GPT-4 is a conversational large language model (LLM) based on artificial intelligence (AI). ...
Shapley values from cooperative game theory are adapted for explaining machine learning predictions....
The rapid surge in artificial intelligence (AI) has dominated technological innovation in today's so...
OBJECTIVE: Depression and anxiety, prevalent coexisting mood disorders, pose a clinical challenge in...
In wireless sensor networks, the implementation of clustering and routing protocols has been crucial...
BACKGROUND: During hospitalisation, older patients spend most of their time passive in bed, which in...
In human-human and human-robot interaction, the counterpart influences the human's affective state. ...
. The incidence of stroke rising, leading to an increased demand for rehabilitation services. Litera...
Healthcare organizations have realized that Artificial intelligence (AI) can provide a competitive e...