Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
The increasing prevalence of mental health disorders globally highlights the urgent need for effec...
Recent progress in Multimodal Large Language Models (MLLMs) have significantly enhanced the abilit...
Large Language Models (LLMs) rapidly reshape modern life, advancing fields from healthcare to educ...
Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency, interpretability an...
The intricate and multifaceted nature of vision language model (VLM) development, adaptation, and ...
Existing large language models (LLMs) are advancing rapidly and produce outstanding results in ima...
AIMS: Artificial intelligence (AI) has the potential to transform cardiac electrophysiology (EP), pa...
Standardised tests using short answer questions (SAQs) are common in postgraduate education. Large...
Recent advances in text-to-image (T2I) generation have achieved impressive results, yet existing m...
This article describes the disclosure avoidance algorithm that the U.S. Census Bureau used to prot...
Artificial intelligence (AI), after surviving two major AI winters (1974-1980 and 1987-2000), is now...
BackgroundAs health education robots may potentially become a significant support force in nursing p...
The rapid advancement of generative AI highlights the importance of text-to-image (T2I) security, ...
Deep learning has been reported to achieve high performances in the detection of skin cancer, yet ...
With the development of Multimodal Large Language Models (MLLMs), numerous outstanding accomplishm...
Privacy Masking is a critical concept under data privacy involving anonymization and de-anonymizat...
This document defines the key considerations for developing and reporting an artificial intelligence...
It is commonly accepted that clinicians are ethically obligated to disclose their use of medical m...
This paper introduces the HH4AI Methodology, a structured approach to assessing the impact of AI s...
We argue that there is a need for Accessibility to be represented in several important domains: ...
Chain-of-Thought (CoT) reasoning enhances large language models (LLMs) by decomposing complex prob...