Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
This study intends to empower English as a Foreign Language (EFL) teachers' perceptions of generativ...
The SARS-CoV-2 RNA virus, with its rapid spread and frequent genetic changes, has posed unparalleled...
Oxygenated organic molecules (OOMs) originate from both direct emissions and secondary formation via...
Applying Natural Language Processing (NLP) to clinical reports is important for automating the analy...
In modern healthcare, telemedicine, health records, and AI-driven diagnostics depend on medical imag...
OBJECTIVES: Precise delineation of early gastric cancer (EGC) margins is essential for complete rese...
Artificial intelligence (AI) models, frequently built using deep neural networks (DNNs), have become...
Physics-informed neural networks (PINNs) have become powerful tools for solving various nonlinear di...
The movement and infiltration of groundwater play a crucial role in environmental engineering and wa...
The automatic screening of thyroid nodules using computer-aided diagnosis holds great promise in red...
As Otago Medical School marks its 150th anniversary, this paper reflects on what it means to train d...
Medical image segmentation is critical for disease diagnosis, treatment planning, and prognosis asse...
OBJECTIVE: Ultrasound imaging has emerged as the preferred imaging modality for ovarian tumor screen...
This study surveyed medical physicists in Australia and New Zealand on their use of large language m...
Solid-state lithium metal batteries using garnet-type LiLaZrO electrolytes hold immense promise for ...
Machine learning strategies for the semantic segmentation of materials' micrographs, such as U-Net, ...
Minimally invasive surgery involves entering the body through small incisions or natural orifices, u...
This article explores the effects of generative artificial intelligence (genAI) in health coaching,...
Genome architecture in eukaryotes exhibits a high degree of complexity. Amidst the numerous intricac...
Precise segmentation and uncertainty estimation are crucial for error identification and correction ...
This paper provides a neural network architecture, called spectral integrated neural networks (SINNs...