Latest AI and machine learning research in health policy for healthcare professionals.
Contact-rich bimanual manipulation involves precise coordination of two arms to change object states through strategically selected contacts and motions. Due to the inherent complexity of these tasks, acquiring sufficient demonstration data and training policies that generalize to unseen scenarios remain a largely unresolved challenge. Building on recent advances in planning through contacts, we...
Passive acoustic mapping (PAM) is a promising tool for monitoring acoustic cavitation activities in the applications of ultrasound therapy. Data-adaptive beamformers for PAM have better image quality compared to the time exposure acoustics (TEA) algorithms. However, the computational cost of data-adaptive beamformers is considerably expensive. In this work, we develop a deep beamformer based on ...
Diffusion-based models have recently revolutionized image generation, achieving unprecedented levels of fidelity. However, consistent generation of ...
The internal structure of Jupiter is constrained by the precise gravity field measurements by NASA's Juno mission, atmospheric data from the Galileo...
In this work, we explore a cost-effective framework for multilingual image generation. We find that, unlike models tuned on high-quality images with...
As a fine-grained task, multimodal aspect-based sentiment analysis (MABSA) mainly focuses on identifying aspect-level sentiment information in the t...
We are writing to address the growing interest in the role of artificial intelligence (AI) within healthcare, particularly in the field of reproductiv...
Technological advances in artificial intelligence (AI) have enabled the development of large vision language models (LVLMs) that are trained on mill...
This study examines a home healthcare scheduling and routing problem (HHSRP) with a lunch break requirement. This problem especially consists of lun...
Student dropout is a significant concern for educational institutions due to its social and economic impact, driving the need for risk prediction sy...
Robust medical Machine Learning (ML) models have the potential to revolutionize healthcare by accelerating clinical research, improving workflows an...
Accurate barcode detection and decoding in Identity documents is crucial for applications like security, healthcare, and education, where reliable d...
The existence of an open access (OA) citation advantage, that is, whether OA increases citations, has been a topic of interest for many years. Altho...
Major depressive disorder (MDD) is a severe psychiatric disorder that currently lacks any objective diagnostic markers. Here, we develop a deep learni...
Continuous monitoring of coma patients is essential but challenging, especially in developing countries with limited resources, staff, and infrastru...
The National Strategic Technology Research Institute (NSTRI) Data Platform operated by Seoul National University Hospital (SNUH) addresses the chall...
In many practical applications, decision-making processes must balance the costs of acquiring information with the benefits it provides. Traditional...
This study seeks to identify the potential role of AI-driven assistive technologies in enhancing access to libraries for persons with varying degree...
Detecting AI-generated images, particularly deepfakes, has become increasingly crucial, with the primary challenge being the generalization to previ...
In the rapidly evolving landscape of 5G technology, safeguarding Radio Frequency (RF) environments against sophisticated intrusions is paramount, es...