250 related articles for article (PubMed ID: 34839182)
1. Natural language processing of head CT reports to identify intracranial mass effect: CTIME algorithm.
Gordon AJ; Banerjee I; Block J; Winstead-Derlega C; Wilson JG; Mitarai T; Jarrett M; Sanyal J; Rubin DL; Wintermark M; Kohn MA
Am J Emerg Med; 2022 Jan; 51():388-392. PubMed ID: 34839182
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury.
Yadav K; Sarioglu E; Choi HA; Cartwright WB; Hinds PS; Chamberlain JM
Acad Emerg Med; 2016 Feb; 23(2):171-8. PubMed ID: 26766600
[TBL] [Abstract][Full Text] [Related]
4. Automated outcome classification of emergency department computed tomography imaging reports.
Yadav K; Sarioglu E; Smith M; Choi HA
Acad Emerg Med; 2013 Aug; 20(8):848-54. PubMed ID: 24033628
[TBL] [Abstract][Full Text] [Related]
5. Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization.
Brown AD; Kachura JR
J Am Coll Radiol; 2019 Jun; 16(6):840-844. PubMed ID: 30833164
[TBL] [Abstract][Full Text] [Related]
6. Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports.
Senders JT; Karhade AV; Cote DJ; Mehrtash A; Lamba N; DiRisio A; Muskens IS; Gormley WB; Smith TR; Broekman MLD; Arnaout O
JCO Clin Cancer Inform; 2019 Apr; 3():1-9. PubMed ID: 31002562
[TBL] [Abstract][Full Text] [Related]
7. Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.
Chen PH; Zafar H; Galperin-Aizenberg M; Cook T
J Digit Imaging; 2018 Apr; 31(2):178-184. PubMed ID: 29079959
[TBL] [Abstract][Full Text] [Related]
8. Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports.
Zech J; Pain M; Titano J; Badgeley M; Schefflein J; Su A; Costa A; Bederson J; Lehar J; Oermann EK
Radiology; 2018 May; 287(2):570-580. PubMed ID: 29381109
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Comparison of deep learning models for natural language processing-based classification of non-English head CT reports.
Barash Y; Guralnik G; Tau N; Soffer S; Levy T; Shimon O; Zimlichman E; Konen E; Klang E
Neuroradiology; 2020 Oct; 62(10):1247-1256. PubMed ID: 32335686
[TBL] [Abstract][Full Text] [Related]
11. Automated Classification of Free-Text Radiology Reports: Using Different Feature Extraction Methods to Identify Fractures of the Distal Fibula.
Dewald CLA; Balandis A; Becker LS; Hinrichs JB; von Falck C; Wacker FK; Laser H; Gerbel S; Winther HB; Apfel-Starke J
Rofo; 2023 Aug; 195(8):713-719. PubMed ID: 37160146
[TBL] [Abstract][Full Text] [Related]
12. A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports.
Lee SJ; Weinberg BD; Gore A; Banerjee I
J Digit Imaging; 2020 Dec; 33(6):1393-1400. PubMed ID: 32495125
[TBL] [Abstract][Full Text] [Related]
13. Machine learning and natural language processing to identify falls in electronic patient care records from ambulance attendances.
Tohira H; Finn J; Ball S; Brink D; Buzzacott P
Inform Health Soc Care; 2022 Oct; 47(4):403-413. PubMed ID: 34965817
[TBL] [Abstract][Full Text] [Related]
14. Toward Electronic Surveillance of Invasive Mold Diseases in Hematology-Oncology Patients: An Expert System Combining Natural Language Processing of Chest Computed Tomography Reports, Microbiology, and Antifungal Drug Data.
Ananda-Rajah MR; Bergmeir C; Petitjean F; Slavin MA; Thursky KA; Webb GI
JCO Clin Cancer Inform; 2017 Nov; 1():1-10. PubMed ID: 30657390
[TBL] [Abstract][Full Text] [Related]
15. Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning.
Lee RY; Brumback LC; Lober WB; Sibley J; Nielsen EL; Treece PD; Kross EK; Loggers ET; Fausto JA; Lindvall C; Engelberg RA; Curtis JR
J Pain Symptom Manage; 2021 Jan; 61(1):136-142.e2. PubMed ID: 32858164
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Development of a Portable Tool to Identify Patients With Atrial Fibrillation Using Clinical Notes From the Electronic Medical Record.
Shah RU; Mutharasan RK; Ahmad FS; Rosenblatt AG; Gay HC; Steinberg BA; Yandell M; Tristani-Firouzi M; Klewer J; Mukherjee R; Lloyd-Jones DM
Circ Cardiovasc Qual Outcomes; 2020 Oct; 13(10):e006516. PubMed ID: 33079591
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study.
Maarseveen TD; Meinderink T; Reinders MJT; Knitza J; Huizinga TWJ; Kleyer A; Simon D; van den Akker EB; Knevel R
JMIR Med Inform; 2020 Nov; 8(11):e23930. PubMed ID: 33252349
[TBL] [Abstract][Full Text] [Related]
19. Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study.
Chen YP; Lo YH; Lai F; Huang CH
J Med Internet Res; 2021 Jan; 23(1):e25113. PubMed ID: 33502324
[TBL] [Abstract][Full Text] [Related]
20. Differentiation of lumbar disc herniation and lumbar spinal stenosis using natural language processing-based machine learning based on positive symptoms.
Ren G; Yu K; Xie Z; Liu L; Wang P; Zhang W; Wang Y; Wu X
Neurosurg Focus; 2022 Apr; 52(4):E7. PubMed ID: 35364584
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]