Latest AI and machine learning research in surveys for healthcare professionals.
How discriminative position information is for image classification depends on the data. On the on...
AI-enhanced personality assessments are increasingly shaping hiring decisions, using affective com...
Algorithmic bias has been the subject of much recent controversy. To clarify what is at stake and ...
Imagine hearing a dog bark and turning toward the sound only to see a parked car, while the real, ...
Deep vision models often rely on biases learned from spurious correlations in datasets. To identif...
Identifying patients suitable for conversion therapy through early non-invasive screening is crucial...
Recent advances in image-based saliency prediction are approaching gold standard performance level...
Edge computing, with its low latency, dynamic scalability, and location awareness, along with the ...
This paper investigates the development and evaluation of a chatbot for administering the EQ5D quest...
The rise of artificial intelligence (AI) in medical care presents several opportunities, including i...
Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...
Natural disasters, including earthquakes, wildfires and cyclones, bear a huge risk on human lives ...
OBJECTIVES: Administrative data are commonly used to inform chronic disease prevalence and support h...
This article describes the staged restructure of the rapid response program into a dedicated 24/7 pr...
Segmentation of the airway tree plays a vital role in clinical practice. However, the complex airway...
Pharmacology is a cornerstone of pharmacy education, bridging biomedical sciences with clinical appl...
This paper discusses ethics-based strategies for mitigating bias in machine learning models used to ...
Achieving group-robust generalization in the presence of spurious correlations remains a significa...
This systematic review aims to assess the effectiveness of AI-Driven Decision Support Systems in imp...
Integrating artificial intelligence, particularly large language models (LLMs), into medical educati...
Although machine learning is frequently used in medicine for predictive purposes, its accuracy in di...