The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

The proliferation of wearable technology enables the generation of vast amounts of sensor
data, offering significant opportunities for advancements in health monitoring, activity …

Abstract Objectives Large language models (LLMs) have demonstrated remarkable
generalization and across diverse tasks, leading individuals to increasingly use them as …

This study aimed to evaluate the potential of Large Language Models (LLMs) in healthcare
diagnostics, specifically their ability to analyze symptom-based prompts and provide …

Human Activity Recognition (HAR) is a rapidly evolving field with the potential to
revolutionise how we monitor and understand human behaviour. This survey paper provides …

There is an acute need for solutions to treat stress and trauma–related sequelae, and there
are well‐documented shortages of qualified human professionals. Artificial intelligence (AI) …

Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) sensors is critical
for applications in healthcare, safety, and industrial production. However, variations in …

Large language models (LLMs) have demonstrated significant potential in clinical decision
support. Yet LLMs still suffer from hallucinations and lack fine-grained contextual medical …

In this article, we present the mathematical foundations of generative machine intelligence
and link them with mean-field-type game theory. The key interaction mechanism is self …

Depression is a common mental illness in modern society. However, incorrect and missed
diagnoses of this illness still widely exist, making timely and accurate depression detection …