Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Tracing the boundaries of the amygdala from brain images remains a major challenge in human neuroscience. Although large-scale neuroimaging studies increasingly collect thousands of scans to investigate structural development in children and adolescents, reliable segmentation of the amygdala is difficult due to its small size and complex morphology-particularly in pediatric populations. To address...
We evaluated whether, compared with conventional deep learning reconstruction (DLR) and zero-filling interpolation (ZIP), super-resolution DLR (SR-DLR) enhances the visualization of vestibular schwannomas and cranial nerves in three-dimensional constructive interference in steady state (3D-CISS) magnetic resonance (MR) imaging. This retrospective study analyzed 39 patients with vestibular schwanno...
Accurate skull stripping is a critical preprocessing step for reliable brain MRI analysis, yet the performance of classical algorithms remains highly ...
Accurate identification of the inferior alveolar nerve (IAN) is essential for preventing nerve injury during dental and maxillofacial procedures such ...
In Italy, forensic medicine education is traditionally theory-based, which limits students' access to practical experiences due to confidentiality con...
The fast growth of Internet of Things (IoT) systems has made them very susceptible to advanced cyber-attacks, and an intelligent and privacy-sustainab...
This study focuses on the soundscape and spatial structure of urban parks. Four representative parks in Fuzhou City were selected as case studies. Dat...
BACKGROUND: The rapid integration of generative artificial intelligence (AI) into scholarly work is reshaping nursing publication standards. PURPOSE: ...
Peripheral nerves can acquire damage through trauma, demyelinating diseases, inflammatory or immune-mediated insults, cancer, metabolic disorders, med...
BACKGROUND: Artificial intelligence (AI) technologies are increasingly being integrated into mental health settings to support tasks such as clinical ...
For monitoring the progression of the disease and the efficacy of treatment, it is essential to segment the brain tumor. The majority of the available...
One of the major problems smart cities face is how to efficiently route traffic, especially when connected vehicles and sensors produce a very large a...
Reliable and secure transmission of medical images is essential for telemedicine, remote diagnosis, and distributed healthcare systems. However, medic...
BACKGROUND: This study aimed to explore the efficacy of a teaching model integrating artificial intelligence-assisted problem-based learning (PBL) wit...
The integration of diverse healthcare data into unified data lake infrastructures is a promising way to support research and clinical decision-making....
Clinical narratives contain rich, detailed information that is essential for medical research but often locked behind privacy constraints due to the p...
BACKGROUND: Peer review is central to maintaining scientific quality and helps editors make decisions. However, the volume of scientific publications ...
Wave equations with nonlocal conditions appear in many scientific and engineering applications, such as, the population dynamics, the mathematical bio...
BACKGROUND: Neuroscience image analysis is crucial for understanding neuronal dynamics and gene expression. However, two key tasks remain challenging:...
Precise extraction of buildings from high-resolution remote sensing images is essential for urban analysis and land management. However, accurately ex...