Latest AI and machine learning research in cultural competence for healthcare professionals.
Given the audio-visual clip of the speaker, facial reaction generation aims to predict the listener's facial reactions. The challenge lies in capturing the relevance between video and audio while balancing appropriateness, realism, and diversity. While prior works have mostly focused on uni-modal inputs or simplified reaction mappings, recent approaches such as PerFRDiff have explored multi-modal ...
BACKGROUND: There are models to predict intraoperative hypotension from arterial pressure waveforms. Selection bias in datasets used for model development and validation could impact model performance. We aimed to evaluate how selection bias affects the predictive performance of a deep learning (DL)-based model and a model using only mean arterial pressure (MAP) as input (MAP-only model).
To evaluate the diagnostic accuracy of machine learning-assisted magnetic resonance imaging (MRI) in detecting cognitive impairment among Parkinson's ...
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns vi...
High-speed and accuracy identification of pathogens has become increasingly critical in both individual patient care and public health. Artificial int...
This study investigates to what extent second language production (L2) and translational production are influenced by cognitive constraints due to the...
Real-world large-scale data often exhibit a long-tailed distribution, making a classifier difficult to generalize well on tail categories. A straightf...
The emergence of foundational models represents a paradigm shift in medical imaging, offering extraordinary capabilities in disease detection, diagnos...
Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes (T2D) postpartum. Early identification of high-risk...
This narrative review examines the critical nexus between climate change, coronavirus emergence, and Long COVID-a triad that may shape public health o...
Artificial intelligence (AI) is transforming digital health, its influence is expanding across multiple sectors, with mental health and psychiatric ca...
Postoperative pain, anxiety, and psychological distress significantly impact surgical recovery, yet conventional management strategies often lack pers...
The critically endangered kākāpō (Strigops habroptilus) has suffered population declines due to habitat loss, hunting, and predation. Conservation eff...
: The integration of artificial intelligence (AI) into mental health care is reshaping psychological support systems, particularly for digitally liter...
This work is dedicated to the analysis and evaluation of the DRSSU dataset: A Dataset of Real and Synthetic Speech in Ukrainian, created to support re...
The advent of large language models (LLMs) represents an enormous opportunity to revolutionize medical education. Via "synthetic education," LLMs can ...
The development of artificial intelligence (AI) applications in healthcare is often positioned as a solution to the greatest challenges facing global ...
Healthcare systems are increasingly integrating artificial intelligence and machine learning (AI/ML) tools into patient care, potentially influencing ...
The emergence of generative artificial intelligence (GenAI) offers the potential to enhance health economics and outcomes research (HEOR) by streamlin...
We examine how the seemingly arbitrary way a prompt is posed, which we term "prompt architecture," influences responses provided by large language mod...