Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Deep learning is widely utilized for medical image segmentation, and its effectiveness is significan...
The nonlinear Telegraph equation appears in a variety of engineering and science problems. This pape...
This article presents the master-slave time-delayed competitive neural networks in space-time discre...
BACKGROUND AND OBJECTIVE: Artificial intelligence is increasingly essential for disease classificati...
BACKGROUND: Large language models (LLMs) often struggle to fully capture the nuanced preferences and...
The deployment of advanced deep learning models for medical image segmentation is often constrained ...
Endoscopy is widely used to diagnose gastric cancer and has a high diagnostic performance, but it mu...
. Humanity faces many health challenges, among which respiratory diseases are one of the leading cau...
In the field of medical science, skin segmentation has gained significant importance, particularly i...
The Internet of Things (IoT) connects various medical devices that enable remote monitoring, which c...
The current work introduces the hybrid ensemble framework for the detection and segmentation of colo...
The emerging new generation of small-scaled acoustic microrobots is poised to expedite the adoption ...
The peer review process ensures the integrity of scientific research. This is particularly important...
For imbalanced classification problem, algorithm-level methods can effectively avoid the information...
Weakly-supervised learning (WSL) methods have gained significant attention in medical image segmenta...
The motivation for this article stems from the fact that medical image security is crucial for maint...
Vehicle-mounted flexible robotic arms (VFRAs) are crucial in enhancing operational capabilities in s...
Optical Coherence Tomography (OCT) offers high-resolution images of the eye's fundus. This enables t...
The success of large language models (LLMs) in general areas have sparked a wave of research into th...
Recently, Deep Learning (DL) models have shown promising accuracy in analysis of medical images. Alz...
In this work, we explore the numerical solution of geometric shape optimization problems using neura...