Latest AI and machine learning research in risk management for healthcare professionals.
Motivation: Conventional echo planar imaging(EPI) based functional MRI(fMRI) uses the BOLD contrast to map activity changes in human brains. Introducing an efficient ZTE sequence for functional brain mapping can help address limitations of EPI and demonstrate the feasibility of using T1 related changes as a surrogate marker of brain activity. Goals: To test and optimize ZTE sequence for fMRI. Me...
The rapid integration of artificial intelligence (AI) into healthcare is transforming clinical decision-making and hospital operations. DeepSeek has emerged as a leading AI system, widely deployed across China's tertiary hospitals since January 2025. Initially implemented in Shanghai's major medical institutions, it has since expanded nationwide, enhancing diagnostic accuracy, streamlining workf...
We investigate an emerging setup in which a small, on-device language model (LM) with access to local data communicates with a frontier, cloud-hoste...
Purpose: An investigation of the challenge of annotating discrete segmentations of brain tumours in ultrasound, with a focus on the issue of aleator...
One of the goals of Federated Learning (FL) is to collaboratively train a global model using local models from remote participants. However, the FL ...
Conversational Product Search ( CPS ) systems interact with users via natural language to offer personalized and context-aware product lists. Howeve...
The generation of incorrect images, such as depictions of people of color in Nazi-era uniforms by Gemini, frustrated users and harmed Google's reput...
Accurate estimates of salmon escapement - the number of fish migrating upstream to spawn - are key data for conservation and fishery management. Exi...
In the era of vast digital information, the sheer volume and heterogeneity of available information present significant challenges for intricate inf...
Normative mapping is a framework used to map population-level features of health-related variables. It is widely used in neuroscience research, but ...
Following recent advancements in computer-aided detection and diagnosis systems for colonoscopy, the automated reporting of colonoscopy procedures i...
Artificial intelligence (AI) is increasingly being utilized to optimize magnetic resonance imaging (MRI) protocols. Given that image details are cri...
Tailoring treatments to individual needs is a central goal in fields such as medicine. A key step toward this goal is estimating Heterogeneous Treat...
INTRODUCTION: Artificial intelligence (AI) has significant transformative potential across various sectors, particularly in health care. This study ai...
Artificial intelligence (AI) technology is rapidly being introduced into thoracic radiology practice. Current representative use cases for AI in thora...
Epithelial cells form diverse structures from squamous spherical organoids to densely packed pseudostratified tissues. Quantification of cellular pr...
Compositionality and compositional generalization--the ability to understand novel combinations of known concepts--are central characteristics of hu...
JEDEC has introduced the Per Row Activation Counting (PRAC) framework for DDR5 and future DRAMs to enable precise counting of DRAM row activations. ...
Pathologically altered iron levels, detected using iron-sensitive MRI techniques such as quantitative susceptibility mapping (QSM), are observed in ...
In this paper, we introduce holiAtlas, a holistic, multimodal and high-resolution human brain atlas. This atlas covers different levels of details o...