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Items: 1 to 20 of 115

1.

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

Bien N, Rajpurkar P, Ball RL, Irvin J, Park A, Jones E, Bereket M, Patel BN, Yeom KW, Shpanskaya K, Halabi S, Zucker E, Fanton G, Amanatullah DF, Beaulieu CF, Riley GM, Stewart RJ, Blankenberg FG, Larson DB, Jones RH, Langlotz CP, Ng AY, Lungren MP.

PLoS Med. 2018 Nov 27;15(11):e1002699. doi: 10.1371/journal.pmed.1002699. eCollection 2018 Nov.

2.

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.

Banerjee I, Ling Y, Chen MC, Hasan SA, Langlotz CP, Moradzadeh N, Chapman B, Amrhein T, Mong D, Rubin DL, Farri O, Lungren MP.

Artif Intell Med. 2018 Nov 23. pii: S0933-3657(17)30625-5. doi: 10.1016/j.artmed.2018.11.004. [Epub ahead of print]

PMID:
30477892
3.

Effect of Clinical Decision Support-Generated Report Cards Versus Real-Time Alerts on Primary Care Provider Guideline Adherence for Low Back Pain Outpatient Lumbar Spine MRI Orders.

Zafar HM, Ip IK, Mills AM, Raja AS, Langlotz CP, Khorasani R.

AJR Am J Roentgenol. 2018 Nov 26:1-9. doi: 10.2214/AJR.18.19780. [Epub ahead of print]

PMID:
30476451
4.

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

Rajpurkar P, Irvin J, Ball RL, Zhu K, Yang B, Mehta H, Duan T, Ding D, Bagul A, Langlotz CP, Patel BN, Yeom KW, Shpanskaya K, Blankenberg FG, Seekins J, Amrhein TJ, Mong DA, Halabi SS, Zucker EJ, Ng AY, Lungren MP.

PLoS Med. 2018 Nov 20;15(11):e1002686. doi: 10.1371/journal.pmed.1002686. eCollection 2018 Nov.

5.

Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs.

Dunnmon JA, Yi D, Langlotz CP, Ré C, Rubin DL, Lungren MP.

Radiology. 2018 Nov 13:181422. doi: 10.1148/radiol.2018181422. [Epub ahead of print]

PMID:
30422093
6.

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning.

Wang X, Zhang Y, Ren X, Zhang Y, Zitnik M, Shang J, Langlotz C, Han J.

Bioinformatics. 2018 Oct 11. doi: 10.1093/bioinformatics/bty869. [Epub ahead of print]

PMID:
30307536
7.

The LOINC RSNA radiology playbook - a unified terminology for radiology procedures.

Vreeman DJ, Abhyankar S, Wang KC, Carr C, Collins B, Rubin DL, Langlotz CP.

J Am Med Inform Assoc. 2018 Jul 1;25(7):885-893. doi: 10.1093/jamia/ocy053.

8.

Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

Tan WK, Hassanpour S, Heagerty PJ, Rundell SD, Suri P, Huhdanpaa HT, James K, Carrell DS, Langlotz CP, Organ NL, Meier EN, Sherman KJ, Kallmes DF, Luetmer PH, Griffith B, Nerenz DR, Jarvik JG.

Acad Radiol. 2018 Nov;25(11):1422-1432. doi: 10.1016/j.acra.2018.03.008. Epub 2018 Mar 28.

PMID:
29605561
9.

Deep Learning in Neuroradiology.

Zaharchuk G, Gong E, Wintermark M, Rubin D, Langlotz CP.

AJNR Am J Neuroradiol. 2018 Oct;39(10):1776-1784. doi: 10.3174/ajnr.A5543. Epub 2018 Feb 1. Review.

PMID:
29419402
10.

Expanding a radiology lexicon using contextual patterns in radiology reports.

Percha B, Zhang Y, Bozkurt S, Rubin D, Altman RB, Langlotz CP.

J Am Med Inform Assoc. 2018 Jun 1;25(6):679-685. doi: 10.1093/jamia/ocx152.

PMID:
29329435
11.

Deep Learning to Classify Radiology Free-Text Reports.

Chen MC, Ball RL, Yang L, Moradzadeh N, Chapman BE, Larson DB, Langlotz CP, Amrhein TJ, Lungren MP.

Radiology. 2018 Mar;286(3):845-852. doi: 10.1148/radiol.2017171115. Epub 2017 Nov 13.

PMID:
29135365
12.

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs.

Larson DB, Chen MC, Lungren MP, Halabi SS, Stence NV, Langlotz CP.

Radiology. 2018 Apr;287(1):313-322. doi: 10.1148/radiol.2017170236. Epub 2017 Nov 2.

PMID:
29095675
13.

Clinical decision support increases diagnostic yield of computed tomography for suspected pulmonary embolism.

Mills AM, Ip IK, Langlotz CP, Raja AS, Zafar HM, Khorasani R.

Am J Emerg Med. 2018 Apr;36(4):540-544. doi: 10.1016/j.ajem.2017.09.004. Epub 2017 Sep 6.

PMID:
28970024
14.

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes.

Huhdanpaa HT, Tan WK, Rundell SD, Suri P, Chokshi FH, Comstock BA, Heagerty PJ, James KT, Avins AL, Nedeljkovic SS, Nerenz DR, Kallmes DF, Luetmer PH, Sherman KJ, Organ NL, Griffith B, Langlotz CP, Carrell D, Hassanpour S, Jarvik JG.

J Digit Imaging. 2018 Feb;31(1):84-90. doi: 10.1007/s10278-017-0013-3.

PMID:
28808792
15.

Bone Tumor Diagnosis Using a Naïve Bayesian Model of Demographic and Radiographic Features.

Do BH, Langlotz C, Beaulieu CF.

J Digit Imaging. 2017 Oct;30(5):640-647. doi: 10.1007/s10278-017-0001-7.

16.

The Role of Radiology in the Diagnostic Process: Information, Communication, and Teamwork.

Larson DB, Langlotz CP.

AJR Am J Roentgenol. 2017 Nov;209(5):992-1000. doi: 10.2214/AJR.17.18381. Epub 2017 Jul 25. Review.

PMID:
28742380
17.

Use of Radiology Procedure Codes in Health Care: The Need for Standardization and Structure.

Wang KC, Patel JB, Vyas B, Toland M, Collins B, Vreeman DJ, Abhyankar S, Siegel EL, Rubin DL, Langlotz CP.

Radiographics. 2017 Jul-Aug;37(4):1099-1110. doi: 10.1148/rg.2017160188. Review.

18.

Implementation of an Automated Radiology Recommendation-Tracking Engine for Abdominal Imaging Findings of Possible Cancer.

Cook TS, Lalevic D, Sloan C, Chadalavada SC, Langlotz CP, Schnall MD, Zafar HM.

J Am Coll Radiol. 2017 May;14(5):629-636. doi: 10.1016/j.jacr.2017.01.024. Epub 2017 Mar 17. No abstract available.

PMID:
28325488
19.

Medicare Imaging Demonstration: Assessing Attributes of Appropriate Use Criteria and Their Influence on Ordering Behavior.

Lacson R, Ip I, Hentel KD, Malhotra S, Balthazar P, Langlotz CP, Raja AS, Khorasani R.

AJR Am J Roentgenol. 2017 May;208(5):1051-1057. doi: 10.2214/AJR.16.17169. Epub 2017 Mar 7.

PMID:
28267371
20.

Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.

Hassanpour S, Langlotz CP, Amrhein TJ, Befera NT, Lungren MP.

AJR Am J Roentgenol. 2017 Apr;208(4):750-753. doi: 10.2214/AJR.16.16128. Epub 2017 Jan 31.

PMID:
28140627

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