A rule-guided interpretable lightweight framework for fetal standard ultrasound plane capture and biometric measurement DOI
Jintang Li, Zhan Gao, Chunlian Wang

и другие.

Neurocomputing, Год журнала: 2024, Номер unknown, С. 129290 - 129290

Опубликована: Дек. 1, 2024

Язык: Английский

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics DOI Creative Commons
Kai He, Rui Mao, Qika Lin

и другие.

Information Fusion, Год журнала: 2025, Номер unknown, С. 102963 - 102963

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

6
The role of cognitive computing in NLP DOI Creative Commons
Laura Orynbay, Gulmira Bekmanova, Banu Yergesh

и другие.

Frontiers in Computer Science, Год журнала: 2025, Номер 6

Опубликована: Янв. 10, 2025

The integration of Cognitive Computing and Natural Language Processing (NLP) represents a revolutionary development Artificial Intelligence, allowing the creation systems capable learning, reasoning, communicating with people in natural meaningful way. This article explores convergence these technologies highlights how they combine to form intelligent understanding interpreting human language. A comprehensive taxonomy NLP is presented, which classifies key tools techniques that improve machine language generation. also practical applications, particular, accessibility for visual impairments using advanced Intelligence-based tools, as well analyze political discourse on social networks, where provide insight into public sentiment information dynamics. Despite significant achievements, several challenges persist. Ethical concerns, including biases AI, data privacy societal impact, are critical address responsible deployment. complexity poses interpretative challenges, while multimodal real-world deployment difficulties impact model performance scalability. Future directions proposed overcome through improved robustness, generalization, explainability models, enhanced scalable, resource-efficient thus provides view current advancements outlines roadmap inclusive future NLP.

Язык: Английский

Процитировано

1
MammoVLM: A generative large vision-language model for mammography-related diagnostic assistance DOI
Zhenjie Cao, Zhuo Deng, Jie Ma

и другие.

Information Fusion, Год журнала: 2025, Номер unknown, С. 102998 - 102998

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
MSegNet: A Multi-View Coupled Cross-Modal Attention Model for Enhanced MRI Brain Tumor Segmentation DOI Creative Commons
Yu Wang, Juan Xu,

Yucheng Guan

и другие.

International Journal of Computational Intelligence Systems, Год журнала: 2025, Номер 18(1)

Опубликована: Март 20, 2025

Язык: Английский

Процитировано

0
LLM-DG: Leveraging large language model for enhanced disease prediction via inter-patient and intra-patient modeling DOI
Yan Kang,

Mingjian Yang,

Yue Peng

и другие.

Information Fusion, Год журнала: 2025, Номер unknown, С. 103145 - 103145

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Tactile data generation and applications based on visuo-tactile sensors: A review DOI
Yuhao Sun, Ning Cheng, Shixin Zhang

и другие.

Information Fusion, Год журнала: 2025, Номер unknown, С. 103162 - 103162

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
A comprehensive survey of large language models and multimodal large language models in medicine DOI
Hanguang Xiao,

Feizhong Zhou,

Xingyue Liu

и другие.

Information Fusion, Год журнала: 2024, Номер unknown, С. 102888 - 102888

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

3
A rule-guided interpretable lightweight framework for fetal standard ultrasound plane capture and biometric measurement DOI
Jintang Li, Zhan Gao, Chunlian Wang

и другие.

Neurocomputing, Год журнала: 2024, Номер unknown, С. 129290 - 129290

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0