AIMC Topic: Semantics

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The Semantic Clinical Artificial Intelligence (SCAI) Chatbot: Preliminary Usability Testing.

Studies in health technology and informatics May 12, 2025
We developed a doctor-facing chatbot named SCAI. We aimed to evaluate response speed and user satisfaction. Ten questions were used to test the response speed of the SCAI chatbot. The response time was long, but overall the participants were satisfie...
Semantics User-Computer Interface Generative Artificial Intelligence Humans Artificial Intelligence
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[Medical text classification model integrating medical entity label semantics].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2025
Automatic classification of medical questions is of great significance in improving the quality and efficiency of online medical services, and belongs to the task of intent recognition. Joint entity recognition and intent recognition perform better t...
Humans Neural Networks, Computer Semantics Natural Language Processing
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Consistent semantic representation learning for out-of-distribution molecular property prediction.

Briefings in bioinformatics Mar 4, 2025
Invariant molecular representation models provide potential solutions to guarantee accurate prediction of molecular properties under distribution shifts out-of-distribution (OOD) by identifying and leveraging invariant substructures inherent to the m...
Computational Biology Models, Molecular Machine Learning Algorithms Semantics
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Utility of word embeddings from large language models in medical diagnosis.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: This study evaluates the utility of word embeddings, generated by large language models (LLMs), for medical diagnosis by comparing the semantic proximity of symptoms to their eponymic disease embedding ("eponymic condition") and the mean o...
Natural Language Processing PubMed Semantics Humans Tuberous Sclerosis Eponyms Symptom Assessment Large Language Models
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A robotics-inspired scanpath model reveals the importance of uncertainty and semantic object cues for gaze guidance in dynamic scenes.

Journal of vision Feb 3, 2025
The objects we perceive guide our eye movements when observing real-world dynamic scenes. Yet, gaze shifts and selective attention are critical for perceiving details and refining object boundaries. Object segmentation and gaze behavior are, however,...
Photic Stimulation Uncertainty Saccades Fixation, Ocular Cues Semantics Bayes Theorem Attention Computer Simulation Eye Movements Robotics Humans
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Composition as Nonlinear Combination in Semantic Space: A Computational Characterization of Compound Processing.

Cognitive science Feb 1, 2025
Most Chinese words are compounds formed through the combination of meaningful characters. Yet, due to compositional complexity, it is poorly understood how this combinatorial process affects the access to the whole-word meaning. In the present study,...
Humans Male Young Adult Comprehension Neural Networks, Computer Eye-Tracking Technology Semantics Reading Adult Language
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Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2025
OBJECTIVE: To identify stigmatizing language in obstetric clinical notes using natural language processing (NLP).
Female Obstetrics Semantics Social Stigma Natural Language Processing Language Pregnancy Humans Electronic Health Records
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TP-RotatE: A knowledge graph representation learning method combining path information and rules to capture complex relational patterns.

PloS one Jan 1, 2025
Representation learning on a knowledge graph (KG) aims to map entities and relationships into a low-dimensional vector space. Traditional methods for representation learning have predominantly focused on the structural aspects of triples within the K...
Machine Learning Algorithms Semantics Humans
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Research on autonomous obstacle avoidance of mountainous tractors based on semantic neural network and laser SLAM.

PloS one Jan 1, 2025
The accuracy and consistency of obstacle avoidance map construction are poor in complex and changeable dynamic environment. In order to improve the driving safety of mountain tractors in complex mountain environment, an autonomous obstacle avoidance ...
Automobile Driving Semantics Neural Networks, Computer Humans Lasers Algorithms
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Deep learning based semantic segmentation of leukemia effected white blood cell.

PloS one Jan 1, 2025
Medical image segmentation has numerous applications in diagnosing different diseases. Various types of diseases are found in white blood and Red blood cells. This paper represents the segmentation of WBCs from blood smear images. It is a complex and...
Leukocytes Semantics Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Leukemia Algorithms
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