118 related articles for article (PubMed ID: 38938764)
1. Automated labelling of radiology reports using natural language processing: Comparison of traditional and newer methods.
Chng SY; Tern PJW; Kan MRX; Cheng LTE
Health Care Sci; 2023 Apr; 2(2):120-128. PubMed ID: 38938764
[TBL] [Abstract][Full Text] [Related]
2. Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT).
Li J; Lin Y; Zhao P; Liu W; Cai L; Sun J; Zhao L; Yang Z; Song H; Lv H; Wang Z
BMC Med Inform Decis Mak; 2022 Jul; 22(1):200. PubMed ID: 35907966
[TBL] [Abstract][Full Text] [Related]
3. Extracting comprehensive clinical information for breast cancer using deep learning methods.
Zhang X; Zhang Y; Zhang Q; Ren Y; Qiu T; Ma J; Sun Q
Int J Med Inform; 2019 Dec; 132():103985. PubMed ID: 31627032
[TBL] [Abstract][Full Text] [Related]
4. A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study.
Mitchell JR; Szepietowski P; Howard R; Reisman P; Jones JD; Lewis P; Fridley BL; Rollison DE
J Med Internet Res; 2022 Mar; 24(3):e27210. PubMed ID: 35319481
[TBL] [Abstract][Full Text] [Related]
5. Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework.
Liu H; Zhang Z; Xu Y; Wang N; Huang Y; Yang Z; Jiang R; Chen H
J Med Internet Res; 2021 Jan; 23(1):e19689. PubMed ID: 33433395
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning Approach for Negation and Speculation Detection for Automated Important Finding Flagging and Extraction in Radiology Report: Internal Validation and Technique Comparison Study.
Weng KH; Liu CF; Chen CJ
JMIR Med Inform; 2023 Apr; 11():e46348. PubMed ID: 37097731
[TBL] [Abstract][Full Text] [Related]
7. Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports.
Bressem KK; Adams LC; Gaudin RA; Tröltzsch D; Hamm B; Makowski MR; Schüle CY; Vahldiek JL; Niehues SM
Bioinformatics; 2021 Jan; 36(21):5255-5261. PubMed ID: 32702106
[TBL] [Abstract][Full Text] [Related]
8. Information extraction from weakly structured radiological reports with natural language queries.
Dada A; Ufer TL; Kim M; Hasin M; Spieker N; Forsting M; Nensa F; Egger J; Kleesiek J
Eur Radiol; 2024 Jan; 34(1):330-337. PubMed ID: 37505252
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers.
Nakamura Y; Hanaoka S; Nomura Y; Nakao T; Miki S; Watadani T; Yoshikawa T; Hayashi N; Abe O
BMC Med Inform Decis Mak; 2021 Sep; 21(1):262. PubMed ID: 34511100
[TBL] [Abstract][Full Text] [Related]
11. When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification.
Li X; Yuan W; Peng D; Mei Q; Wang Y
BMC Med Inform Decis Mak; 2022 Apr; 21(Suppl 9):377. PubMed ID: 35382811
[TBL] [Abstract][Full Text] [Related]
12. Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech.
Balagopalan A; Eyre B; Robin J; Rudzicz F; Novikova J
Front Aging Neurosci; 2021; 13():635945. PubMed ID: 33986655
[No Abstract] [Full Text] [Related]
13. Automatic Diagnosis Labeling of Cardiovascular MRI by Using Semisupervised Natural Language Processing of Text Reports.
Zaman S; Petri C; Vimalesvaran K; Howard J; Bharath A; Francis D; Peters N; Cole GD; Linton N
Radiol Artif Intell; 2022 Jan; 4(1):e210085. PubMed ID: 35146435
[TBL] [Abstract][Full Text] [Related]
14. Does BERT need domain adaptation for clinical negation detection?
Lin C; Bethard S; Dligach D; Sadeque F; Savova G; Miller TA
J Am Med Inform Assoc; 2020 Apr; 27(4):584-591. PubMed ID: 32044989
[TBL] [Abstract][Full Text] [Related]
15. Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging.
Abbasi N; Lacson R; Kapoor N; Licaros A; Guenette JP; Burk KS; Hammer M; Desai S; Eappen S; Saini S; Khorasani R
AJR Am J Roentgenol; 2023 Sep; 221(3):377-385. PubMed ID: 37073901
[No Abstract] [Full Text] [Related]
16. Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.
Han S; Zhang RF; Shi L; Richie R; Liu H; Tseng A; Quan W; Ryan N; Brent D; Tsui FR
J Biomed Inform; 2022 Mar; 127():103984. PubMed ID: 35007754
[TBL] [Abstract][Full Text] [Related]
17. Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study.
Oniani D; Chandrasekar P; Sivarajkumar S; Wang Y
JMIR AI; 2023 May; 2():e44293. PubMed ID: 38875537
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT.
Wada S; Takeda T; Okada K; Manabe S; Konishi S; Kamohara J; Matsumura Y
Artif Intell Med; 2024 Jul; 153():102889. PubMed ID: 38728811
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning-based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reports.
Fink MA; Kades K; Bischoff A; Moll M; Schnell M; Küchler M; Köhler G; Sellner J; Heussel CP; Kauczor HU; Schlemmer HP; Maier-Hein K; Weber TF; Kleesiek J
Radiol Artif Intell; 2022 Sep; 4(5):e220055. PubMed ID: 36204531
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]