Results 141 to 150 of about 2,563,053 (365)

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, EarlyView.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

The Representation of Orientation Semantics in Visual Sensory Memory

Behavioral Sciences
Visual sensory memory constructs representations of the physical information of visual objects. However, few studies have investigated whether abstract information, such as semantic information, is also involved in these representations.
Jingjing Hu, Xutao Zheng, Haokui Xu
doaj   +1 more source

The Components of the Conceptual Category Memory and Its Role in the Production of Semantic Content of Modern Prose Texts

Филологический класс, 2020
The article discusses the works of contemporary American writers, winners of the 2015–2017 Pulitzer Prize: “The Sympathizer”, “Nothing Ever Dies” [Nguyen 2015, 2016]; “Underground Railroad” [Whitehead 2016]; “Less” [Greer 2017].
doaj   +1 more source

Recognition memory for syntactic and semantic aspects of connected discourse [PDF]

, 1967
Jacqueline Sachs
openalex   +1 more source

Parallel Multimodal Language Model: Enhanced Breast Nodule Diagnosis through Parallel Multimodal Representations and Large Language Models

Advanced Intelligent Systems, EarlyView.
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng, Patrick Cheong‐Iao Pang, Ping He, Yue Sun, Hongju Yan, Xiangyu Xiong, Ligang Cui, Tao Tan, Lingyun Bao   +8 more
wiley   +1 more source

Patterns of Semantic Memory Impairment in Mild Cognitive Impairment

Behavioural Neurology, 2008
Although the semantic memory impairment has been largely documented in Alzheimer's disease, little is known about semantic memory in the preclinical phase of the disease (Mild Cognitive Impairment). The purpose of this study was to document the nature of
Sven Joubert, Olivier Felician, Emmanuel J. Barbeau, Mira Didic, Michel Poncet, Mathieu Ceccaldi   +5 more
doaj   +1 more source

Retention functions for syntactic and lexical vs semantic information in sentence recognition memory [PDF]

, 1974
Ian Begg, Wayne A. Wickelgren
openalex   +1 more source

End‐to‐End Attention‐Enhanced Transformer for Image Captioning in Biomimetic Wearable Devices

Advanced Intelligent Systems, EarlyView.
This work proposes an attention‐enhanced transformer for image captioning, improving multiregion feature representation and future‐context decoding, achieving 2.1 CIDEr gain and real‐time performance on wearables with low memory and power, ideal for edge deployment in biomimetic visual assistance.
Yongyang Yin, Hengyu Cao, Jun Lin
wiley   +1 more source

Searching for Semantic Knowledge: A Vector Space Semantic Analysis of the Feature Generation Task

Frontiers in Human Neuroscience, 2019
A recent neuropsychological study found that amnesic patients with hippocampal damage (HP) and severe declarative memory impairment produce markedly fewer responses than healthy comparison (CO) participants in a semantic feature generation task (Klooster
Rebecca A. Cutler, Melissa C. Duff, Sean M. Polyn   +2 more
doaj   +1 more source

Effects of different kinds of semantic processing on memory for words [PDF]

, 1978
Janet L. Packman, William F. Battig
openalex   +1 more source