These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
117 related articles for article (PubMed ID: 39233209)
1. Extracting lung cancer staging descriptors from pathology reports: A generative language model approach. Cho H; Yoo S; Kim B; Jang S; Sunwoo L; Kim S; Lee D; Kim S; Nam S; Chung JH J Biomed Inform; 2024 Sep; 157():104720. PubMed ID: 39233209 [TBL] [Abstract][Full Text] [Related]
2. A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records. Chiang CC; Luo M; Dumkrieger G; Trivedi S; Chen YC; Chao CJ; Schwedt TJ; Sarker A; Banerjee I Headache; 2024 Apr; 64(4):400-409. PubMed ID: 38525734 [TBL] [Abstract][Full Text] [Related]
3. Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning. Park HJ; Park N; Lee JH; Choi MG; Ryu JS; Song M; Choi CM BMC Med Inform Decis Mak; 2022 Sep; 22(1):229. PubMed ID: 36050674 [TBL] [Abstract][Full Text] [Related]
4. Symbolic rule-based classification of lung cancer stages from free-text pathology reports. Nguyen AN; Lawley MJ; Hansen DP; Bowman RV; Clarke BE; Duhig EE; Colquist S J Am Med Inform Assoc; 2010; 17(4):440-5. PubMed ID: 20595312 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Automated Extraction of Tumor Staging and Diagnosis Information From Surgical Pathology Reports. Abedian S; Sholle ET; Adekkanattu PM; Cusick MM; Weiner SE; Shoag JE; Hu JC; Campion TR JCO Clin Cancer Inform; 2021 Oct; 5():1054-1061. PubMed ID: 34694896 [TBL] [Abstract][Full Text] [Related]
7. Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reports. Elmarakeby HA; Trukhanov PS; Arroyo VM; Riaz IB; Schrag D; Van Allen EM; Kehl KL BMC Bioinformatics; 2023 Sep; 24(1):328. PubMed ID: 37658330 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies. Yang T; Sucholutsky I; Jen KY; Schonlau M PeerJ Comput Sci; 2024; 10():e1888. PubMed ID: 38435545 [TBL] [Abstract][Full Text] [Related]
10. Development and Validation of a Natural Language Processing Algorithm for Extracting Clinical and Pathological Features of Breast Cancer From Pathology Reports. Munzone E; Marra A; Comotto F; Guercio L; Sangalli CA; Lo Cascio M; Pagan E; Sangalli D; Bigoni I; Porta FM; D'Ercole M; Ritorti F; Bagnardi V; Fusco N; Curigliano G JCO Clin Cancer Inform; 2024 Aug; 8():e2400034. PubMed ID: 39137368 [TBL] [Abstract][Full Text] [Related]
11. Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system. Chen Y; Hao L; Zou VZ; Hollander Z; Ng RT; Isaac KV BMC Med Res Methodol; 2022 May; 22(1):136. PubMed ID: 35549854 [TBL] [Abstract][Full Text] [Related]
12. Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records. Kim Y; Lee JH; Choi S; Lee JM; Kim JH; Seok J; Joo HJ Sci Rep; 2020 Nov; 10(1):20265. PubMed ID: 33219276 [TBL] [Abstract][Full Text] [Related]
13. Validation of large language models for detecting pathologic complete response in breast cancer using population-based pathology reports. Cheligeer K; Wu G; Laws A; Quan ML; Li A; Brisson AM; Xie J; Xu Y BMC Med Inform Decis Mak; 2024 Oct; 24(1):283. PubMed ID: 39363322 [TBL] [Abstract][Full Text] [Related]
14. Cross-hospital portability of information extraction of cancer staging information. Martinez D; Pitson G; MacKinlay A; Cavedon L Artif Intell Med; 2014 Sep; 62(1):11-21. PubMed ID: 25001545 [TBL] [Abstract][Full Text] [Related]
15. Exploring Offline Large Language Models for Clinical Information Extraction: A Study of Renal Histopathological Reports of Lupus Nephritis Patients. Tai ICY; Wong ECK; Wu JT; Leung K; Yap DYH; Wong ZSY Stud Health Technol Inform; 2024 Aug; 316():899-903. PubMed ID: 39176938 [TBL] [Abstract][Full Text] [Related]
16. Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach. Hammami L; Paglialonga A; Pruneri G; Torresani M; Sant M; Bono C; Caiani EG; Baili P J Biomed Inform; 2021 Apr; 116():103712. PubMed ID: 33609761 [TBL] [Abstract][Full Text] [Related]
17. Information extraction from medical case reports using OpenAI InstructGPT. Sciannameo V; Pagliari DJ; Urru S; Grimaldi P; Ocagli H; Ahsani-Nasab S; Comoretto RI; Gregori D; Berchialla P Comput Methods Programs Biomed; 2024 Oct; 255():108326. PubMed ID: 39029416 [TBL] [Abstract][Full Text] [Related]
18. A natural language processing program effectively extracts key pathologic findings from radical prostatectomy reports. Kim BJ; Merchant M; Zheng C; Thomas AA; Contreras R; Jacobsen SJ; Chien GW J Endourol; 2014 Dec; 28(12):1474-8. PubMed ID: 25211697 [TBL] [Abstract][Full Text] [Related]
19. Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer. Ryu B; Yoon E; Kim S; Lee S; Baek H; Yi S; Na HY; Kim JW; Baek RM; Hwang H; Yoo S J Med Internet Res; 2020 Dec; 22(12):e18526. PubMed ID: 33295294 [TBL] [Abstract][Full Text] [Related]
20. Cross-registry neural domain adaptation to extract mutational test results from pathology reports. Rios A; Durbin EB; Hands I; Arnold SM; Shah D; Schwartz SM; Goulart BHL; Kavuluru R J Biomed Inform; 2019 Sep; 97():103267. PubMed ID: 31401235 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]