Cargando…

Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing

BACKGROUND: Structured reporting (SR) is recommended in radiology, due to its advantages over free-text reporting (FTR). However, SR use is hindered by insufficient integration of speech recognition, which is well accepted among radiologists and commonly used for unstructured FTR. SR templates must...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jorg, Tobias, Kämpgen, Benedikt, Feiler, Dennis, Müller, Lukas, Düber, Christoph, Mildenberger, Peter, Jungmann, Florian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Vienna 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019433/ https://www.ncbi.nlm.nih.gov/pubmed/36929101 http://dx.doi.org/10.1186/s13244-023-01392-y

Ejemplares similares

Natural language processing of radiology reports to investigate the effects of the COVID-19 pandemic on the incidence and age distribution of fractures
por: Jungmann, Florian, et al.
Publicado: (2021)

Natural language processing for automatic evaluation of free-text answers — a feasibility study based on the European Diploma in Radiology examination
por: Stoehr, Fabian, et al.
Publicado: (2023)

Implementation of structured reporting in clinical routine: a review of 7 years of institutional experience
por: Jorg, Tobias, et al.
Publicado: (2023)

Structured reporting in radiology enables epidemiological analysis through data mining: urolithiasis as a use case
por: Jorg, Tobias, et al.
Publicado: (2023)

Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition
por: Jurafsky, Daniel, et al.
Publicado: (2000)

Introducing Spoken Dialogue Systems into Intelligent Environments
por: Heinroth, Tobias, et al.
Publicado: (2013)

In dialogue with an avatar, language behavior is identical to dialogue with a human partner
por: Heyselaar, Evelien, et al.
Publicado: (2015)

Retrospective Analysis of Clinical Performance of an Estonian Speech Recognition System for Radiology: Effects of Different Acoustic and Language Models
por: Paats, A., et al.
Publicado: (2018)

Commercial AI solutions in detecting COVID-19 pneumonia in chest CT: not yet ready for clinical implementation?
por: Jungmann, Florian, et al.
Publicado: (2021)

Extraction and Representation of Prosody for Speaker, Speech and Language Recognition
por: Mary, Leena
Publicado: (2012)

Domain Generalization for Language-Independent Automatic Speech Recognition
por: Gao, Heting, et al.
Publicado: (2022)

Inhibitory Control and L2 Proficiency Modulate Bilingual Language Production: Evidence from Spontaneous Monologue and Dialogue Speech
por: Pivneva, Irina, et al.
Publicado: (2012)

Chatbot Language - crowdsource perceptions and reactions to dialogue systems to inform dialogue design decisions
por: Popp, Birgit, et al.
Publicado: (2022)

Application of Knowledge Distillation Based on Transfer Learning of ERNIE Model in Intelligent Dialogue Intention Recognition
por: Guo, Shiguang, et al.
Publicado: (2022)

Online teaching in radiology as a pilot model for modernizing medical education: results of an international study in cooperation with the ESR
por: Stoehr, Fabian, et al.
Publicado: (2021)

Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans
por: Müller, Lukas, et al.
Publicado: (2023)

Development of Language Models for Continuous Uzbek Speech Recognition System
por: Mukhamadiyev, Abdinabi, et al.
Publicado: (2023)

Singing for the Rehabilitation of Acquired Neurogenic Communication Disorders: Continuing the Evidence Dialogue with a Survey of Current Practices in Speech-Language Pathology
por: Behaghel, Estelle, et al.
Publicado: (2022)

The Reliability and Validity of Speech-Language Pathologists’ Estimations of Intelligibility in Dysarthria
por: Hirsch, Micah E., et al.
Publicado: (2022)

Interactions among talker sex, masker number, and masker intelligibility in speech-on-speech recognition
por: Thomas, Mathew, et al.
Publicado: (2021)

Survival prediction for patients with non-resectable intrahepatic cholangiocarcinoma undergoing chemotherapy: a retrospective analysis comparing the tumor marker CA 19-9 with cross-sectional imaging
por: Hahn, Felix, et al.
Publicado: (2020)

BanglaSER: A speech emotion recognition dataset for the Bangla language
por: Das, Rakesh Kumar, et al.
Publicado: (2022)

Improving Hybrid CTC/Attention Architecture for Agglutinative Language Speech Recognition
por: Ren, Zeyu, et al.
Publicado: (2022)

Continuous Sign Language Recognition and Its Translation into Intonation-Colored Speech
por: Amangeldy, Nurzada, et al.
Publicado: (2023)

The Interlanguage Speech Intelligibility Benefit as Bias Toward Native-Language Phonology
por: Wang, Hongyan, et al.
Publicado: (2015)

Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA)
por: Kantithammakorn, Pimarn, et al.
Publicado: (2022)

Regional Language Speech Recognition from Bone-Conducted Speech Signals through Different Deep Learning Architectures
por: Putta, Venkata Subbaiah, et al.
Publicado: (2022)

Language modeling for automatic speech recognition of inflective languages: an applications-oriented approach using lexical data
por: Donaj, Gregor, et al.
Publicado: (2017)

Book Review: Understanding Dialogue: Language Use and Social Interaction
por: Xiang, Keshu
Publicado: (2021)

Effects of Noise and Second Language on Conversational Dynamics in Task Dialogue
por: Sørensen, A. Josefine Munch, et al.
Publicado: (2021)

The accuracy of radiology speech recognition reports in a multilingual South African teaching hospital
por: du Toit, Jacqueline, et al.
Publicado: (2015)

Using Morphological Data in Language Modeling for Serbian Large Vocabulary Speech Recognition
por: Pakoci, Edvin, et al.
Publicado: (2019)

Automatic Speech Recognition Method Based on Deep Learning Approaches for Uzbek Language
por: Mukhamadiyev, Abdinabi, et al.
Publicado: (2022)

Intelligibility improves perception of timing changes in speech
por: Zoefel, Benedikt, et al.
Publicado: (2023)

Deep Learning and Artificial Intelligence Applied to Model Speech and Language in Parkinson’s Disease
por: Escobar-Grisales, Daniel, et al.
Publicado: (2023)

Band importance for speech-in-speech recognition
por: Buss, Emily, et al.
Publicado: (2021)

Real-time decoding of question-and-answer speech dialogue using human cortical activity
por: Moses, David A., et al.
Publicado: (2019)

Speech and Language Engineering
por: Rajman, Martin
Publicado: (2007)

How Noise and Language Proficiency Influence Speech Recognition by Individual Non-Native Listeners
por: Zhang, Jin, et al.
Publicado: (2014)

A study of transformer-based end-to-end speech recognition system for Kazakh language
por: Orken, Mamyrbayev, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_7n4jhsro6dluak8muqi4ipik3e