187 related articles for article (PubMed ID: 38096637)
1. Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage.
Lee S; Lee J; Park J; Park J; Kim D; Lee J; Oh J
Am J Emerg Med; 2024 Mar; 77():29-38. PubMed ID: 38096637
[TBL] [Abstract][Full Text] [Related]
2. Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study.
Kim D; Oh J; Im H; Yoon M; Park J; Lee J
J Korean Med Sci; 2021 Jul; 36(27):e175. PubMed ID: 34254471
[TBL] [Abstract][Full Text] [Related]
3. Identifying signs and symptoms of urinary tract infection from emergency department clinical notes using large language models.
Iscoe M; Socrates V; Gilson A; Chi L; Li H; Huang T; Kearns T; Perkins R; Khandjian L; Taylor RA
Acad Emerg Med; 2024 Jun; 31(6):599-610. PubMed ID: 38567658
[TBL] [Abstract][Full Text] [Related]
4. Automatic quantitative stroke severity assessment based on Chinese clinical named entity recognition with domain-adaptive pre-trained large language model.
Gu Z; He X; Yu P; Jia W; Yang X; Peng G; Hu P; Chen S; Chen H; Lin Y
Artif Intell Med; 2024 Apr; 150():102822. PubMed ID: 38553162
[TBL] [Abstract][Full Text] [Related]
5. Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI.
Bhandari M; Shahi TB; Siku B; Neupane A
Comput Biol Med; 2022 Nov; 150():106156. PubMed ID: 36228463
[TBL] [Abstract][Full Text] [Related]
6. Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study.
Majdik ZP; Graham SS; Shiva Edward JC; Rodriguez SN; Karnes MS; Jensen JT; Barbour JB; Rousseau JF
JMIR AI; 2024 May; 3():e52095. PubMed ID: 38875593
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence.
Wani NA; Kumar R; Bedi J
Comput Methods Programs Biomed; 2024 Jan; 243():107879. PubMed ID: 37897989
[TBL] [Abstract][Full Text] [Related]
9. Predicting Glaucoma Progression Requiring Surgery Using Clinical Free-Text Notes and Transfer Learning With Transformers.
Hu W; Wang SY
Transl Vis Sci Technol; 2022 Mar; 11(3):37. PubMed ID: 35353148
[TBL] [Abstract][Full Text] [Related]
10. Investigating the Impact of Prompt Engineering on the Performance of Large Language Models for Standardizing Obstetric Diagnosis Text: Comparative Study.
Wang L; Bi W; Zhao S; Ma Y; Lv L; Meng C; Fu J; Lv H
JMIR Form Res; 2024 Feb; 8():e53216. PubMed ID: 38329787
[TBL] [Abstract][Full Text] [Related]
11. Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system.
Kim M; Kang D; Kim MS; Choe JC; Lee SH; Ahn JH; Oh JH; Choi JH; Lee HC; Cha KS; Jang K; Bong WI; Song G; Lee H
J Am Med Inform Assoc; 2024 Jun; 31(7):1540-1550. PubMed ID: 38804963
[TBL] [Abstract][Full Text] [Related]
12. Large Language Models and the Reverse Turing Test.
Sejnowski TJ
Neural Comput; 2023 Feb; 35(3):309-342. PubMed ID: 36746144
[TBL] [Abstract][Full Text] [Related]
13. CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.
Kırboğa KK; Küçüksille EU; Naldan ME; Işık M; Gülcü O; Aksakal E
Comput Methods Programs Biomed; 2023 May; 233():107492. PubMed ID: 36965300
[TBL] [Abstract][Full Text] [Related]
14. Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.
Payrovnaziri SN; Chen Z; Rengifo-Moreno P; Miller T; Bian J; Chen JH; Liu X; He Z
J Am Med Inform Assoc; 2020 Jul; 27(7):1173-1185. PubMed ID: 32417928
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Explainable ICD multi-label classification of EHRs in Spanish with convolutional attention.
Trigueros O; Blanco A; Lebeña N; Casillas A; Pérez A
Int J Med Inform; 2022 Jan; 157():104615. PubMed ID: 34741890
[TBL] [Abstract][Full Text] [Related]
17. A Natural Language Processing Model for COVID-19 Detection Based on Dutch General Practice Electronic Health Records by Using Bidirectional Encoder Representations From Transformers: Development and Validation Study.
Homburg M; Meijer E; Berends M; Kupers T; Olde Hartman T; Muris J; de Schepper E; Velek P; Kuiper J; Berger M; Peters L
J Med Internet Res; 2023 Oct; 25():e49944. PubMed ID: 37792444
[TBL] [Abstract][Full Text] [Related]
18. Explainable artificial intelligence (XAI) in deep learning-based medical image analysis.
van der Velden BHM; Kuijf HJ; Gilhuijs KGA; Viergever MA
Med Image Anal; 2022 Jul; 79():102470. PubMed ID: 35576821
[TBL] [Abstract][Full Text] [Related]
19. Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data.
Nambiar A; S H; S S
Front Artif Intell; 2023; 6():1272506. PubMed ID: 38111787
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
