Latest AI and machine learning research in surveys for healthcare professionals.
Radio Frequency (RF) sensing technologies have experienced significant growth due to the widespread adoption of RF devices and the Internet of Things (IoT). These technologies enable numerous applications across healthcare, smart homes, industrial automation, and human-computer interaction. However, the non-intrusive and ubiquitous nature of RF sensing - combined with its environmental sensitivi...
This paper examines the thin-slicing approach - the ability to make accurate judgments based on minimal information - in the context of scientific presentations. Drawing on research from nonverbal communication and personality psychology, we show that brief excerpts (thin slices) reliably predict overall presentation quality. Using a novel corpus of over one hundred real-life science talks, we e...
Multi-modal large language models (MLLMs) have made significant progress, yet their safety alignment remains limited. Typically, current open-source...
Vision-language models (VLMs) integrate visual and textual information, enabling a wide range of applications such as image captioning and visual qu...
Artificial Intelligence (AI) has become essential for analyzing complex data and solving highly-challenging tasks. It is being applied across numero...
Bias in data collection, arising from both under-reporting and over-reporting, poses significant challenges in critical applications such as healthc...
Vision-language models (VLMs) have demonstrated impressive performance by effectively integrating visual and textual information to solve complex ta...
Generative agents have been increasingly used to simulate human behaviour in silico, driven by large language models (LLMs). These simulacra serve a...
Large Language Models (LLMs) have revolutionized artificial intelligence, driving advancements in machine translation, summarization, and conversati...
In medical imaging, the primary challenge is collecting large-scale labeled data due to privacy concerns, logistics, and high labeling costs. In thi...
Collaborative assistants, or chatbots, are data-driven decision support systems that enable natural interaction for task completion. While they can ...
As automation and mobile robotics reshape work environments, rising expectations for productivity increase cognitive demands on human operators, lea...
As leading examples of large language models, ChatGPT and Gemini claim to provide accurate and unbiased information, emphasizing their commitment to...
Artificial Intelligence (AI) holds great promise for healthcare, promising improved patient outcomes and streamlining processes. Nevertheless, this tr...
As AI is increasingly being used in medical practise, it is important to equip medical students with the concepts and principles. A cross-sectional st...
Large language models (LLMs) have shown potential in supporting decision-making applications, particularly as personal assistants in the financial, ...
Computational pathology, which involves analyzing whole slide images for automated cancer diagnosis, relies on multiple instance learning, where per...
Background: Large language models (LLMs) are rapidly being integrated into healthcare, promising to enhance various clinical tasks. However, concern...
Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both con...
Objective: Traditional phone-based surveys are among the most accessible and widely used methods to collect biomedical and healthcare data, however,...