[HTML][HTML] Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in …
Background Given the increasing number of people suffering from tinnitus, the accurate
categorization of patients with actionable reports is attractive in assisting clinical decision …
categorization of patients with actionable reports is attractive in assisting clinical decision …
Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports
Objectives To evaluate the performance of natural language processing (NLP) models to
predict isocitrate dehydrogenase (IDH) mutation status in diffuse glioma using routine MR …
predict isocitrate dehydrogenase (IDH) mutation status in diffuse glioma using routine MR …
Accuracy of ChatGPT generated diagnosis from patient's medical history and imaging findings in neuroradiology cases
D Horiuchi, H Tatekawa, T Shimono, SL Walston… - Neuroradiology, 2024 - Springer
Purpose The noteworthy performance of Chat Generative Pre-trained Transformer
(ChatGPT), an artificial intelligence text generation model based on the GPT-4 architecture …
(ChatGPT), an artificial intelligence text generation model based on the GPT-4 architecture …
A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks
Abstract Graph Neural Networks (GNN) provide a powerful framework that elegantly
integrates Graph theory with Machine learning for modeling and analysis of networked data …
integrates Graph theory with Machine learning for modeling and analysis of networked data …
[HTML][HTML] Identifying stroke-related quantified evidence from electronic health records in real-world studies
L Yang, X Huang, J Wang, X Yang, L Ding, Z Li… - Artificial Intelligence in …, 2023 - Elsevier
Background Stroke is one of the leading causes of death and disability worldwide. The
National Institutes of Health Stroke Scale (NIHSS) scores in electronic health records …
National Institutes of Health Stroke Scale (NIHSS) scores in electronic health records …
BERT in Radiology: A Systematic Review of Natural Language Processing Applications
Abstract Introduction BERT (Bidirectional Encoder Representations from Transformers),
introduced in 2018, has revolutionized natural language processing (NLP). Its bidirectional …
introduced in 2018, has revolutionized natural language processing (NLP). Its bidirectional …
[HTML][HTML] Creating an ignorance-base: Exploring known unknowns in the scientific literature
MR Boguslav, NM Salem, EK White, KJ Sullivan… - Journal of biomedical …, 2023 - Elsevier
Background: Scientific discovery progresses by exploring new and uncharted territory. More
specifically, it advances by a process of transforming unknown unknowns first into known …
specifically, it advances by a process of transforming unknown unknowns first into known …
[HTML][HTML] Automated vs. Manual Coding of Neuroimaging Reports via Natural Language Processing, using the International Classification of Diseases, Tenth Revision
AM McKinney, JA Moore, K Campbell, T Braga… - Heliyon, 2024 - cell.com
Objective Natural language processing (NLP) can generate diagnoses codes from imaging
reports. Meanwhile, the International Classification of Diseases (ICD-10) codes are the …
reports. Meanwhile, the International Classification of Diseases (ICD-10) codes are the …
Bidirectional Encoder Representations from Transformers in Radiology: A Systematic Review of Natural Language Processing Applications
L Gorenstein, E Konen, M Green, E Klang - Journal of the American College …, 2024 - jacr.org
Abstract Introduction Bidirectional Encoder Representations from Transformers (BERT),
introduced in 2018, has revolutionized natural language processing. Its bidirectional …
introduced in 2018, has revolutionized natural language processing. Its bidirectional …
Revealing and Exploring the Literature's Known Unknowns: Ignorance and How It Drives Science
MR Boguslav - 2023 - search.proquest.com
Background: Research progresses through accumulating knowledge such that a previously
unexplored subject (an unknown unknown) becomes an active research area exploring the …
unexplored subject (an unknown unknown) becomes an active research area exploring the …