Latest AI and machine learning research in prescriptions for healthcare professionals.
Fall-related injuries (FRIs) are a major cause of hospitalizations among older patients, but identifying them in unstructured clinical notes poses challenges for large-scale research. In this study, we developed and evaluated natural language processing (NLP) models to address this issue. We utilized all available clinical notes from the Mass General Brigham health-care system for 2100 older adult...
Large language models (LLMs) have increasingly been used to extract critical information from unstructured clinical notes, which often include important details not captured in the structured sections of electronic health records (EHRs). This study assesses the performance of the GPT-4o LLM in extracting signs and symptoms (S&S) from clinical notes, focusing on both general and organ-specific (uro...
Explainability is necessary for many tasks in biomedical research. Recent explainability methods have focused on attention, gradient, and Shapley va...
Unified image fusion aims to integrate complementary information from multi-source images, enhancing image quality through a unified framework appli...
Tracking financial investments in climate adaptation is a complex and expertise-intensive task, particularly for Early Warning Systems (EWS), which ...
The content and distortion are widely recognized as the two primary factors affecting the visual quality of an image. While existing No-Reference Im...
Agriculture plays a critical role in the global economy, providing livelihoods and ensuring food security for billions. As innovative agricultural p...
Understanding how urban socio-demographic and environmental factors relate with health is essential for public health and urban planning. However, t...
Social media is a rich source of real-world data that captures valuable patient experience information for pharmacovigilance. However, mining data f...
Accurately predicting traffic accidents in real-time is a critical challenge in autonomous driving, particularly in resource-constrained environment...
Multimodal research and applications are becoming more commonplace as Virtual Reality (VR) technology integrates different sensory feedback, enablin...
Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, is a critical task with applications in pharmacovig...
Background: The HERMES Kiosk (Healthcare Enhanced Recommendations through Artificial Intelligence & Expertise System) is designed to provide persona...
We study the geometry of Receiver Operating Characteristic (ROC) and Precision-Recall (PR) curves in binary classification problems. The key finding...
Visual Language Models (VLMs) have emerged as pivotal tools for robotic systems, enabling cross-task generalization, dynamic environmental interacti...
Egocentric interaction perception is one of the essential branches in investigating human-environment interaction, which lays the basis for developi...
Multivariate phase relationships are important to characterize and understand numerous physical, biological, and chemical systems, from electromagne...
The practice of pharmacovigilance relies on large databases of individual case safety reports to detect and evaluate potential new causal associatio...
This study investigates malicious AI Assistants' manipulative traits and whether the behaviours of malicious AI Assistants can be detected when inte...
Large language model-based agents are increasingly used in recommender systems (Agent4RSs) to achieve personalized behavior modeling. Specifically, ...