120 related articles for article (PubMed ID: 35843286)
1. Validation of a natural language processing algorithm to identify adenomas and measure adenoma detection rates across a health system: a population-level study.
Tinmouth J; Swain D; Chorneyko K; Lee V; Bowes B; Li Y; Gao J; Morgan D
Gastrointest Endosc; 2023 Jan; 97(1):121-129.e1. PubMed ID: 35843286
[TBL] [Abstract][Full Text] [Related]
2. Anatomic and advanced adenoma detection rates as quality metrics determined via natural language processing.
Gawron AJ; Thompson WK; Keswani RN; Rasmussen LV; Kho AN
Am J Gastroenterol; 2014 Dec; 109(12):1844-9. PubMed ID: 24935271
[TBL] [Abstract][Full Text] [Related]
3. Natural Language Processing Accurately Calculates Adenoma and Sessile Serrated Polyp Detection Rates.
Nayor J; Borges LF; Goryachev S; Gainer VS; Saltzman JR
Dig Dis Sci; 2018 Jul; 63(7):1794-1800. PubMed ID: 29696479
[TBL] [Abstract][Full Text] [Related]
4. Can We Geographically Validate a Natural Language Processing Algorithm for Automated Detection of Incidental Durotomy Across Three Independent Cohorts From Two Continents?
Karhade AV; Oosterhoff JHF; Groot OQ; Agaronnik N; Ehresman J; Bongers MER; Jaarsma RL; Poonnoose SI; Sciubba DM; Tobert DG; Doornberg JN; Schwab JH
Clin Orthop Relat Res; 2022 Sep; 480(9):1766-1775. PubMed ID: 35412473
[TBL] [Abstract][Full Text] [Related]
5. Multi-center colonoscopy quality measurement utilizing natural language processing.
Imler TD; Morea J; Kahi C; Sherer EA; Cardwell J; Johnson CS; Xu H; Ahnen D; Antaki F; Ashley C; Baffy G; Cho I; Dominitz J; Hou J; Korsten M; Nagar A; Promrat K; Robertson D; Saini S; Shergill A; Smalley W; Imperiale TF
Am J Gastroenterol; 2015 Apr; 110(4):543-52. PubMed ID: 25756240
[TBL] [Abstract][Full Text] [Related]
6. Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.
Raju GS; Lum PJ; Slack RS; Thirumurthi S; Lynch PM; Miller E; Weston BR; Davila ML; Bhutani MS; Shafi MA; Bresalier RS; Dekovich AA; Lee JH; Guha S; Pande M; Blechacz B; Rashid A; Routbort M; Shuttlesworth G; Mishra L; Stroehlein JR; Ross WA
Gastrointest Endosc; 2015 Sep; 82(3):512-9. PubMed ID: 25910665
[TBL] [Abstract][Full Text] [Related]
7. Natural Language Processing for Assessing Quality Indicators in Free-Text Colonoscopy and Pathology Reports: Development and Usability Study.
Bae JH; Han HW; Yang SY; Song G; Sa S; Chung GE; Seo JY; Jin EH; Kim H; An D
JMIR Med Inform; 2022 Apr; 10(4):e35257. PubMed ID: 35436226
[TBL] [Abstract][Full Text] [Related]
8. Using Natural Language Processing to Automatically Identify Dysplasia in Pathology Reports for Patients With Barrett's Esophagus.
Nguyen Wenker T; Natarajan Y; Caskey K; Novoa F; Mansour N; Pham HA; Hou JK; El-Serag HB; Thrift AP
Clin Gastroenterol Hepatol; 2023 May; 21(5):1198-1204. PubMed ID: 36115659
[TBL] [Abstract][Full Text] [Related]
9. Natural language processing accurately categorizes findings from colonoscopy and pathology reports.
Imler TD; Morea J; Kahi C; Imperiale TF
Clin Gastroenterol Hepatol; 2013 Jun; 11(6):689-94. PubMed ID: 23313839
[TBL] [Abstract][Full Text] [Related]
10. Differences in detection rates of adenomas and serrated polyps in screening versus surveillance colonoscopies, based on the new hampshire colonoscopy registry.
Anderson JC; Butterly LF; Goodrich M; Robinson CM; Weiss JE
Clin Gastroenterol Hepatol; 2013 Oct; 11(10):1308-12. PubMed ID: 23660415
[TBL] [Abstract][Full Text] [Related]
11. Development and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports.
Torres-Lopez VM; Rovenolt GE; Olcese AJ; Garcia GE; Chacko SM; Robinson A; Gaiser E; Acosta J; Herman AL; Kuohn LR; Leary M; Soto AL; Zhang Q; Fatima S; Falcone GJ; Payabvash MS; Sharma R; Struck AF; Sheth KN; Westover MB; Kim JA
JAMA Netw Open; 2022 Aug; 5(8):e2227109. PubMed ID: 35972739
[TBL] [Abstract][Full Text] [Related]
12. Development of a Large Colonoscopy-Based Longitudinal Cohort for Integrated Research of Colorectal Cancer: Partners Colonoscopy Cohort.
Vithayathil M; Smith S; Goryachev S; Nayor J; Song M
Dig Dis Sci; 2022 Feb; 67(2):473-480. PubMed ID: 33590405
[TBL] [Abstract][Full Text] [Related]
13. Adenoma Detection Rate Falls at the End of the Day in a Large Multi-site Sample.
Marcondes FO; Gourevitch RA; Schoen RE; Crockett SD; Morris M; Mehrotra A
Dig Dis Sci; 2018 Apr; 63(4):856-859. PubMed ID: 29397494
[TBL] [Abstract][Full Text] [Related]
14. Impact of adenoma detection rate on detection of advanced adenomas and endoscopic adverse events in a study of over 200,000 screening colonoscopies.
Penz D; Ferlitsch A; Waldmann E; Irina G; Daniel P; Asaturi A; Hinterberger A; Majcher B; Szymanska A; Trauner M; Ferlitsch M
Gastrointest Endosc; 2020 Jan; 91(1):135-141. PubMed ID: 31499041
[TBL] [Abstract][Full Text] [Related]
15. A Transparent and Adaptable Method to Extract Colonoscopy and Pathology Data Using Natural Language Processing.
Fevrier HB; Liu L; Herrinton LJ; Li D
J Med Syst; 2020 Jul; 44(9):151. PubMed ID: 32737597
[TBL] [Abstract][Full Text] [Related]
16. Application of optical character recognition with natural language processing for large-scale quality metric data extraction in colonoscopy reports.
Laique SN; Hayat U; Sarvepalli S; Vaughn B; Ibrahim M; McMichael J; Qaiser KN; Burke C; Bhatt A; Rhodes C; Rizk MK
Gastrointest Endosc; 2021 Mar; 93(3):750-757. PubMed ID: 32891620
[TBL] [Abstract][Full Text] [Related]
17. Defining Benchmarks for Adenoma Detection Rate and Adenomas Per Colonoscopy in Patients Undergoing Colonoscopy Due to a Positive Fecal Immunochemical Test.
Hilsden RJ; Bridges R; Dube C; McGregor SE; Naugler C; Rose SM; Rostom A; Heitman SJ
Am J Gastroenterol; 2016 Dec; 111(12):1743-1749. PubMed ID: 27725649
[TBL] [Abstract][Full Text] [Related]
18. Development of an Automated Algorithm to Generate Guideline-based Recommendations for Follow-up Colonoscopy.
Karwa A; Patell R; Parthasarathy G; Lopez R; McMichael J; Burke CA
Clin Gastroenterol Hepatol; 2020 Aug; 18(9):2038-2045.e1. PubMed ID: 31622739
[TBL] [Abstract][Full Text] [Related]
19. Data for registry and quality review can be retrospectively collected using natural language processing from unstructured charts of arthroplasty patients.
Shah RF; Bini S; Vail T
Bone Joint J; 2020 Jul; 102-B(7_Supple_B):99-104. PubMed ID: 32600201
[TBL] [Abstract][Full Text] [Related]
20. Identifying Cases of Shoulder Injury Related to Vaccine Administration (SIRVA) in the United States: Development and Validation of a Natural Language Processing Method.
Zheng C; Duffy J; Liu IA; Sy LS; Navarro RA; Kim SS; Ryan DS; Chen W; Qian L; Mercado C; Jacobsen SJ
JMIR Public Health Surveill; 2022 May; 8(5):e30426. PubMed ID: 35608886
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
