Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Semantic segmentation stands as a pivotal research focus in computer vision. In the context of industrial image inspection, conventional semantic segmentation models fail to maintain the segmentation consistency of fixed components across varying contextual environments due to a lack of perception of object contours. Given the real-time constraints and limited computing capability of industrial ...
Recent advances in Large Reasoning Models (LRMs) have shown impressive capabilities in mathematical and logical reasoning. However, current LRMs rarely admit ignorance or respond with "I don't know". Instead, they often produce incorrect answers while showing undue confidence, raising concerns about their factual reliability. In this work, we identify two pathological reasoning patterns characte...
Port berthing sites are regions of high interest for monitoring and optimizing port operations. Data sourced from the Automatic Identification Syste...
Embryonic development relies on the formation of sharp, precise gene expression boundaries. In the fruit fly Drosophila melanogaster, boundary forma...
Accurate segmentation of regions of interest in biomedical images holds substantial value in image analysis. Although several foundation models for ...
This study explores the utility of Large Language Models (LLMs) to support finding rare patient record details that could make a patient identifiable....
Large Language Models (LLMs) are a type of artificial intelligence (AI) that have emerged as powerful tools for a wide range of tasks, paving the way ...
The design and implementation of unit tests is a complex task many programmers neglect. This research evaluates the potential of Large Language Mode...
Obtaining large-scale medical data, annotated or unannotated, is challenging due to stringent privacy regulations and data protection policies. In a...
Information security aims to protect confidentiality and prevent information leakage, which inherently conflicts with the goal of information sharing....
This work introduces the first benchmark for nursing value alignment, consisting of five core value dimensions distilled from international nursing ...
Accurate segmentation of tubular topological structures (e.g., fissures and vasculature) is critical in various fields to guarantee dependable downs...
Preserving data confidentiality during the fine-tuning of open-source Large Language Models (LLMs) is crucial for sensitive applications. This work ...
Current methods for medical image segmentation primarily focus on extracting contextual feature information from the perspective of the whole image....
Traditional image segmentation methods, such as variational models based on partial differential equations (PDEs), offer strong mathematical interpr...
Pathological diagnosis is the gold standard for tumor diagnosis, and nucleus instance segmentation is a key step in digital pathology analysis and p...
Integrating VLC with the RIS significantly enhances physical layer security by enabling precise directional signal control and dynamic adaptation to...
Sixteen sites in the coastal city of Qingdao, including eight national control sites, seven provincial control sites, and one background site, were se...
The dynamic process of eating-including chewing, biting, swallowing, food items, eating time and rate, mass, environment, and other metrics-may charac...
Medical image segmentation is a pivotal task within the realms of medical image analysis and computer vision. While current methods have shown promi...