Latest AI and machine learning research in pain management for healthcare professionals.
This study leveraged machine learning (ML) models to explore the relationship between three-dimensio...
In this paper, three Double Machine Learning (DML) models are proposed to enhance the accuracy of br...
Chronic pain affects approximately 20% of the global population, leading to significant disability a...
PURPOSE: To develop and evaluate orbital CT deep learning (DL) models in optic neuropathy (ON) predi...
INTRODUCTION: Aconitine, the main toxic and active compound in Aconitum species, is a key component ...
Multi-modal and multi-view imaging is essential for diagnosis and assessment of cervical spondylosis...
This study evaluated the discriminative potential of a machine learning model using movement feature...
This study proposes a novel method for time-series analysis based on persistent homology. Traditiona...
Diabetic foot Ulceration (DFU) is a severe complication of diabetic foot syndrome, often leading to ...
Given the limitations of unimodal pain recognition approaches, this study aimed to develop a multimo...
As network environments become increasingly complex and new attack methods emerge more frequently, t...
In medical image segmentation, traditional CNN-based models excel at extracting local features but h...
Chronic wounds have emerged as a significant medical challenge due to their adverse effects, includi...
OBJECTIVE: To evaluate the use of ChatGPT and DeepSeek in clinical practice to provide healthcare pr...
BACKGROUND AND OBJECTIVES: Differentiation between temporomandibular disorders (TMDs) and trigeminal...
With the rapid advancement of artificial intelligence technology, efficiently extracting and analyzi...
OBJECTIVES: This paper describes how artificial intelligence (AI) was used to analyze meeting minute...
Leprosy, or Hansen's disease, is a Neglected Tropical Disease (NTD) caused by Mycobacterium leprae t...
PURPOSE: Pain management after cardiac surgery is imperative, as inadequate analgesia can increase t...
This paper presents a novel framework for detecting and predicting abnormal traffic events on highwa...
Improving translation quality and efficiency is one of the key challenges in the field of Natural La...