Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Recent advances in Large Reasoning Models (LRMs) have shown impressive capabilities in mathematica...
Port berthing sites are regions of high interest for monitoring and optimizing port operations. Da...
Embryonic development relies on the formation of sharp, precise gene expression boundaries. In the...
Accurate segmentation of regions of interest in biomedical images holds substantial value in image...
This study explores the utility of Large Language Models (LLMs) to support finding rare patient reco...
Large Language Models (LLMs) are a type of artificial intelligence (AI) that have emerged as powerfu...
The design and implementation of unit tests is a complex task many programmers neglect. This resea...
Obtaining large-scale medical data, annotated or unannotated, is challenging due to stringent priv...
Information security aims to protect confidentiality and prevent information leakage, which inherent...
This work introduces the first benchmark for nursing value alignment, consisting of five core valu...
Accurate segmentation of tubular topological structures (e.g., fissures and vasculature) is critic...
Preserving data confidentiality during the fine-tuning of open-source Large Language Models (LLMs)...
Current methods for medical image segmentation primarily focus on extracting contextual feature in...
Traditional image segmentation methods, such as variational models based on partial differential e...
Pathological diagnosis is the gold standard for tumor diagnosis, and nucleus instance segmentation...
Integrating VLC with the RIS significantly enhances physical layer security by enabling precise di...
Sixteen sites in the coastal city of Qingdao, including eight national control sites, seven provinci...
The dynamic process of eating-including chewing, biting, swallowing, food items, eating time and rat...
Medical image segmentation is a pivotal task within the realms of medical image analysis and compu...
Human decision-making in cognitive tasks and daily life exhibits considerable variability, shaped ...
Quantitative Systems Pharmacology (QSP) promises to accelerate drug development, enable personaliz...