150 related articles for article (PubMed ID: 38381144)
1. Automatic generation of conclusions from neuroradiology MRI reports through natural language processing.
López-Úbeda P; Martín-Noguerol T; Escartín J; Luna A
Neuroradiology; 2024 Apr; 66(4):477-485. PubMed ID: 38381144
[TBL] [Abstract][Full Text] [Related]
2. Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study.
López-Úbeda P; Martín-Noguerol T; Díaz-Angulo C; Luna A
Int J Med Inform; 2024 Jul; 187():105443. PubMed ID: 38615509
[TBL] [Abstract][Full Text] [Related]
3. Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique.
Moezzi SAR; Ghaedi A; Rahmanian M; Mousavi SZ; Sami A
J Digit Imaging; 2023 Feb; 36(1):80-90. PubMed ID: 36002778
[TBL] [Abstract][Full Text] [Related]
4. Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences.
Liu Y; Ju S; Wang J
BMC Med Inform Decis Mak; 2024 Mar; 24(1):75. PubMed ID: 38486198
[TBL] [Abstract][Full Text] [Related]
5. Transformer-based structuring of free-text radiology report databases.
Nowak S; Biesner D; Layer YC; Theis M; Schneider H; Block W; Wulff B; Attenberger UI; Sifa R; Sprinkart AM
Eur Radiol; 2023 Jun; 33(6):4228-4236. PubMed ID: 36905469
[TBL] [Abstract][Full Text] [Related]
6. CARES: A Corpus for classification of Spanish Radiological reports.
Chizhikova M; López-Úbeda P; Collado-Montañez J; Martín-Noguerol T; Díaz-Galiano MC; Luna A; Ureña-López LA; Martín-Valdivia MT
Comput Biol Med; 2023 Mar; 154():106581. PubMed ID: 36701968
[TBL] [Abstract][Full Text] [Related]
7. Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports.
Hasani AM; Singh S; Zahergivar A; Ryan B; Nethala D; Bravomontenegro G; Mendhiratta N; Ball M; Farhadi F; Malayeri A
Eur Radiol; 2024 Jun; 34(6):3566-3574. PubMed ID: 37938381
[TBL] [Abstract][Full Text] [Related]
8. Automated Radiology-Arthroscopy Correlation of Knee Meniscal Tears Using Natural Language Processing Algorithms.
Li MD; Deng F; Chang K; Kalpathy-Cramer J; Huang AJ
Acad Radiol; 2022 Apr; 29(4):479-487. PubMed ID: 33583713
[TBL] [Abstract][Full Text] [Related]
9. Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?
Yang E; Li MD; Raghavan S; Deng F; Lang M; Succi MD; Huang AJ; Kalpathy-Cramer J
Br J Radiol; 2023 Sep; 96(1149):20220769. PubMed ID: 37162253
[TBL] [Abstract][Full Text] [Related]
10. Abstractive Arabic Text Summarization Based on Deep Learning.
Wazery YM; Saleh ME; Alharbi A; Ali AA
Comput Intell Neurosci; 2022; 2022():1566890. PubMed ID: 35069714
[TBL] [Abstract][Full Text] [Related]
11. Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder.
Jiang Z; Cai X; Yang L; Gao D; Zhao W; Han J; Liu J; Shen D; Liu T
IEEE Trans Biomed Eng; 2023 Dec; 70(12):3277-3287. PubMed ID: 37314905
[TBL] [Abstract][Full Text] [Related]
12. Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.
Hassanpour S; Langlotz CP; Amrhein TJ; Befera NT; Lungren MP
AJR Am J Roentgenol; 2017 Apr; 208(4):750-753. PubMed ID: 28140627
[TBL] [Abstract][Full Text] [Related]
13. Translating medical image to radiological report: Adaptive multilevel multi-attention approach.
Gajbhiye GO; Nandedkar AV; Faye I
Comput Methods Programs Biomed; 2022 Jun; 221():106853. PubMed ID: 35561439
[TBL] [Abstract][Full Text] [Related]
14. The natural language processing of radiology requests and reports of chest imaging: Comparing five transformer models' multilabel classification and a proof-of-concept study.
Olthof AW; van Ooijen PM; Cornelissen LJ
Health Informatics J; 2022; 28(4):14604582221131198. PubMed ID: 36227062
[TBL] [Abstract][Full Text] [Related]
15. Radiology report generation for proximal femur fractures using deep classification and language generation models.
Paalvast O; Nauta M; Koelle M; Geerdink J; Vijlbrief O; Hegeman JH; Seifert C
Artif Intell Med; 2022 Jun; 128():102281. PubMed ID: 35534140
[TBL] [Abstract][Full Text] [Related]
16. CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text.
Lee EK; Uppal K
BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 14):306. PubMed ID: 33323109
[TBL] [Abstract][Full Text] [Related]
17. Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures.
Saini N; Saha S; Chakraborty D; Bhattacharyya P
PLoS One; 2019; 14(11):e0223477. PubMed ID: 31725721
[TBL] [Abstract][Full Text] [Related]
18. Leveraging Summary Guidance on Medical Report Summarization.
Zhu Y; Yang X; Wu Y; Zhang W
IEEE J Biomed Health Inform; 2023 Oct; 27(10):5066-5075. PubMed ID: 37566507
[TBL] [Abstract][Full Text] [Related]
19. RadBERT: Adapting Transformer-based Language Models to Radiology.
Yan A; McAuley J; Lu X; Du J; Chang EY; Gentili A; Hsu CN
Radiol Artif Intell; 2022 Jul; 4(4):e210258. PubMed ID: 35923376
[TBL] [Abstract][Full Text] [Related]
20. Extractive summarization of clinical trial descriptions.
Gulden C; Kirchner M; Schüttler C; Hinderer M; Kampf M; Prokosch HU; Toddenroth D
Int J Med Inform; 2019 Sep; 129():114-121. PubMed ID: 31445245
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]