688 related articles for article (PubMed ID: 35907966)
1. 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]
2. 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]
3. 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]
4. A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance.
Lu H; Ehwerhemuepha L; Rakovski C
BMC Med Res Methodol; 2022 Jul; 22(1):181. PubMed ID: 35780100
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports.
Kim M; Ong KT; Choi S; Yeo J; Kim S; Han K; Park JE; Kim HS; Choi YS; Ahn SS; Kim J; Lee SK; Sohn B
Eur Radiol; 2023 Nov; 33(11):8017-8025. PubMed ID: 37566271
[TBL] [Abstract][Full Text] [Related]
11. Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study.
Benítez-Andrades JA; Alija-Pérez JM; Vidal ME; Pastor-Vargas R; García-Ordás MT
JMIR Med Inform; 2022 Feb; 10(2):e34492. PubMed ID: 35200156
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Machine learning based natural language processing of radiology reports in orthopaedic trauma.
Olthof AW; Shouche P; Fennema EM; IJpma FFA; Koolstra RHC; Stirler VMA; van Ooijen PMA; Cornelissen LJ
Comput Methods Programs Biomed; 2021 Sep; 208():106304. PubMed ID: 34333208
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Bidirectional Encoder Representations from Transformers in Radiology: A Systematic Review of Natural Language Processing Applications.
Gorenstein L; Konen E; Green M; Klang E
J Am Coll Radiol; 2024 Jun; 21(6):914-941. PubMed ID: 38302036
[TBL] [Abstract][Full Text] [Related]
19. Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.
Shen Z; Schutte D; Yi Y; Bompelli A; Yu F; Wang Y; Zhang R
BMC Med Inform Decis Mak; 2022 Jul; 22(Suppl 1):88. PubMed ID: 35799294
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
