Results 91 to 100 of about 8,863,938 (321)
Editorial: Digital Linguistic Biomarkers: Beyond Paper and Pencil Tests
Frontiers in Psychology, 2021 Gloria Gagliardi +4 more
doaj +1 more source
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 +9 more
wiley +1 more source
AmpersandThe aim of this pre-/posttest design lab case study is to find possible interactions between working memory (WM) effects and the effectiveness of structured input among 10-11-year-olds with first language (L1) German children.
Dietmar Roehm, Tanja Angelovska
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Deep learning in clinical natural language processing: a methodical review
J. Am. Medical Informatics Assoc., 2019 OBJECTIVE This article methodically reviews the literature on deep learning (DL) for natural language processing (NLP) in the clinical domain, providing quantitative analysis to answer 3 research questions concerning methods, scope, and context of ...
Stephen T Wu +11 more
semanticscholar +1 more source
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 +8 more
wiley +1 more source
Linguistic aspects of eponymic professional endocrinologic terminology
Mìžnarodnij Endokrinologìčnij Žurnal, 2017 Background. Special linguistic researches of terminological units of different branches of medicine allow analyzing in details the ways of creating the systems of clinical terminology from different aspects: historical, scientific, cultural, linguistic ...
N.I. Bytsko +3 more
doaj +1 more source
CausaLM: Causal Model Explanation Through Counterfactual Language Models
, 2020 Understanding predictions made by deep neural networks is notoriously difficult, but also crucial to their dissemination. As all ML-based methods, they are as good as their training data, and can also capture unwanted biases.
Feder, Amir +3 more
core
Temporal expression normalisation in natural language texts [PDF]
, 2012 Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction. In this report, I describe a novel rule-based architecture, built on top of a pre-existing system, which is able to normalise ...
Filannino, Michele
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Advanced Intelligent Systems, EarlyView.This study introduces an AI‐guided strategy to design 3D‐printed PEEK implants functionalized with a tryptophan‐enriched alginate hydrogel (TRYALPEEK). The modification improves hydrophilicity, reduces surface roughness, enhances cytocompatibility, and optimizes stress distribution. The platform offers a promising route for personalized implant design,
Wafa Benaatou +8 more
wiley +1 more source
Clinical Communication Across Linguistic and Cultural Boundaries [PDF]
International Journal of Community & Family Medicine, 2018 Due to conflicts and natural disasters every day, thousands of people are leaving their own countries and moving to resettle in another part of the world. This leads, amongst other things, to cross-lingual and cross-cultural clinical encounters. In this context, mutual understanding between patients and healthcare professional is vital for the patients'
openaire +2 more sources