C. Langlotz

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Impact of a deep learning assistant on the histopathologic classification of liver cancer

Ryanne A. Brown, Simon B. Chen, A. Ng, 2020, npj Digital Medicine.

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Yifan Yu, Andrew Y. Ng, Curtis P. Langlotz, 2019, AAAI.

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning pdf

Andrew Y. Ng, Curtis P. Langlotz, Matthew P. Lungren, 2017, ArXiv.

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

A. Ng, Pranav Rajpurkar, C. Langlotz, 2018, PLoS medicine.

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

C. Langlotz, S. Halabi, D. Larson, 2017, Radiology.

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs.

A. Ng, Pranav Rajpurkar, C. Langlotz, 2017 .

A Framework for Comparing Alternative Formalisms for Plausible Reasoning

Eric Horvitz, David Heckerman, Curtis P. Langlotz, 1986, AAAI.

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

Yu Zhang, Xuan Wang, Jiawei Han, 2018, bioRxiv.

Impact of a deep learning assistant on the histopathologic classification of liver cancer

Ryanne A. Brown, Simon B. Chen, A. Ng, 2020, npj Digital Medicine.

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

Jared A. Dunnmon, C. Langlotz, M. Lungren, 2019, Radiology.

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

A. Ng, Pranav Rajpurkar, C. Langlotz, 2018, PLoS medicine.

Deep Learning to Classify Radiology Free-Text Reports.

C. Langlotz, Robyn L. Ball, D. Larson, 2017, Radiology.

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

C. Langlotz, M. Lungren, T. Amrhein, 2017, AJR. American journal of roentgenology.

Deep Learning for the Digital Pathologic Diagnosis of Cholangiocarcinoma and Hepatocellular Carcinoma: Evaluating the Impact of a Web-based Diagnostic Assistant

Alex Wang, Andrew Y. Ng, Curtis P. Langlotz, 2019, 1911.07372.

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs pdf

Andrew Y. Ng, Curtis P. Langlotz, Matthew P. Lungren, 2017, ArXiv.

Learning to Summarize Radiology Findings

Christopher D. Manning, Yuhao Zhang, Curtis P. Langlotz, 2018, Louhi@EMNLP.

Toward best practices in radiology reporting.

E. Burnside, C. Langlotz, C. E. Kahn, 2009, Radiology.

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

Sean D. Rundell, Nancy L. Organ, C. Langlotz, 2018, Academic radiology.

Deep Learning in Neuroradiology

C. Langlotz, D. Rubin, M. Wintermark, 2018, American Journal of Neuroradiology.

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop.

C. Langlotz, M. Lungren, B. Erickson, 2019, Radiology.

Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology.

Curtis P. Langlotz, Adam E. Flanders, Luciano M. Prevedello, 2019, Radiology. Artificial intelligence.

RadLex: a new method for indexing online educational materials.

C. Langlotz, 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

Fundamental measures of diagnostic examination performance: usefulness for clinical decision making and research.

C. Langlotz, 2003, Radiology.

Code Abdomen: An Assessment Coding Scheme for Abdominal Imaging Findings Possibly Representing Cancer.

C. Langlotz, T. Cook, C. E. Kahn, 2015, Journal of the American College of Radiology : JACR.

The Costs of CT Procedures in an Academic Radiology Department Determined by an Activity-Based Costing (ABC) Method

C. Langlotz, H. Nisenbaum, R. Grossman, 2000, Journal of computer assisted tomography.

Incremental cost of department-wide implementation of a picture archiving and communication system and computed radiography.

H L Kundel, C P Langlotz, C. Langlotz, 1998, Radiology.

The radiology report of the future: a summary of the 2007 Intersociety Conference.

Curtis P Langlotz, C. Langlotz, N. R. Dunnick, 2008, Journal of the American College of Radiology : JACR.

Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework.

Nigam H Shah, Matthew P Lungren, Curtis P Langlotz, 2020, Radiology.

Breast MR imaging: interpretation model.

M D Schnall, S G Orel, L W Nunes, 1997, Radiology.

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

C. Langlotz, D. Larson, 2017, AJR. American journal of roentgenology.

Radiologist Use of and Perceived Need for Patient Data Access

William W. Boonn, Curtis P. Langlotz, C. Langlotz, 2009, Journal of Digital Imaging.

Why Isn't There More High-fidelity Simulation Training in Diagnostic Radiology? Results of a Survey of Academic Radiologists.

C. Langlotz, T. Cook, M. Scanlon, 2016, Academic radiology.

Translating Cancer Research into Cancer Care: Final Report of the Long Range Planning Committee

Christopher G. Chute, Marion J. Ball, Curtis P. Langlotz, 2002 .

Cancer Informatics

Christopher G. Chute, Marion J. Ball, Curtis P. Langlotz, 2002, Health Informatics.

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.

C. Langlotz, R. Khorasani, A. Mills, 2019, AJR. American journal of roentgenology.

Clinical decision support for imaging in the era of the Patient Protection and Affordable Care Act.

C. Langlotz, R. Khorasani, A. Mills, 2012, Journal of the American College of Radiology : JACR.

Implications of Direct Patient Online Access to Radiology Reports Through Patient Web Portals.

Joann G Elmore, Curtis P Langlotz, Christoph I. Lee, 2016, Journal of the American College of Radiology : JACR.

Predictors of initial 18F-fluorodeoxyglucose-positron emission tomography indication among patients with colorectal cancer

C. Langlotz, K. Armstrong, H. Zafar, 2012, Nuclear medicine communications.

AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining

Curtis P. Langlotz, Matthew P. Lungren, Pranav Rajpurkar, 2020, Scientific Reports.

A methodology for the economic assessment of picture archiving and communication systems

Curtis P. Langlotz, Sheel Kishore, Harold L. Kundel, 1995, Journal of Digital Imaging.

Cost-effectiveness of MR angiography in cases of limb-threatening peripheral vascular disease.

C. Langlotz, R. Baum, M. Pentecost, 1995, Radiology.

Contrast media reactions and extravasation: relationship to intravenous injection rates.

C. Langlotz, J. Jacobs, B. Birnbaum, 1998, Radiology.

Overcoming barriers to outcomes research on imaging: lessons from an abstract decision model.

C. Langlotz, 1999, Academic Radiology.

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

C. Langlotz, R. Khorasani, A. Mills, 2017, The American journal of emergency medicine.

A picture archival and communication system shortens delays in obtaining radiographic information in a medical intensive care unit

S C Horii, H L Kundel, C P Langlotz, 2000, Critical care medicine.

Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis pdf

Daniel L. Rubin, Curtis P. Langlotz, James D. Brooks, 2019, ArXiv.

Regulatory Frameworks for Development and Evaluation of Artificial Intelligence–Based Diagnostic Imaging Algorithms: Summary and Recommendations

Daniel L. Rubin, Curtis P. Langlotz, David B. Larson, 2020, Journal of the American College of Radiology.

Extracranial atherosclerotic carotid artery disease: evaluation of non-breath-hold three-dimensional gadolinium-enhanced MR angiography.

C. Langlotz, M. Schnall, F. Lexa, 1998, AJR. American journal of roentgenology.

Prostate imaging may not be necessary in nonpalpable carcinoma of the prostate.

C. Langlotz, P. Arger, T. Hyslop, 1997, Urology.

Colon cancer: morphology detected with barium enema examination versus histopathologic stage.

E. Furth, C. Langlotz, M. Levine, 1995, Radiology.

A framework for improving radiology reporting.

Curtis P Langlotz, C. Langlotz, C. Sistrom, 2005, Journal of the American College of Radiology : JACR.

Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices

Shreyas S Vasanawala, Matthew P Lungren, Christopher M. Sandino, 2020, Journal of magnetic resonance imaging : JMRI.

Optimizing the Breast Imaging Report for Today and Tomorrow

C. Langlotz, E. Mendelson, W. Berg, 2022, Journal of Breast Imaging.

Evaluating Progress in Automatic Chest X-Ray Radiology Report Generation

A. Ng, Pranav Rajpurkar, P. Rajpurkar, 2022, medRxiv.

Economic consequences of diagnostic imaging for vocal cord paralysis.

C. Langlotz, D. Yousem, A. Chalian, 2001, Academic radiology.

The Project Baseline Health Study: a step towards a broader mission to map human health.

Charlene A. Wong, T. Assimes, R. Green, 2020, npj Digital Medicine.

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

Tarik K. Alkasab, Walter F. Wiggins, D. Daye, 2022, Radiology.

MR identification of white matter abnormalities in multiple sclerosis: a comparison between 1.5 T and 4 T.

C P Langlotz, L Bolinger, R I Grossman, 1998, AJNR. American journal of neuroradiology.

Accuracy of MR imaging in the work-up of suspicious breast lesions: a diagnostic meta-analysis.

C P Langlotz, C. Langlotz, S. Sonnad, 1999, Academic radiology.

Contrastive Learning of Medical Visual Representations from Paired Images and Text pdf

Christopher D. Manning, Curtis P. Langlotz, Yasuhide Miura, 2020, MLHC.

CD4 T lymphocyte count and the radiographic presentation of pulmonary tuberculosis. A study of the relationship between these factors in patients with human immunodeficiency virus infection.

C. Langlotz, M. Beumont, W. Miller, 1995, Chest.

A Methodology for Generating Computer-based Explanations of Decision-theoretic Advice

Lawrence M. Fagan, L M Fagan, E H Shortliffe, 1988, Medical decision making : an international journal of the Society for Medical Decision Making.

Diagnosis of primary versus secondary achalasia: reassessment of clinical and radiographic criteria.

C. Langlotz, M. Levine, S. Rubesin, 2000, AJR. American journal of roentgenology.

Biomedical and Clinical English Model Packages in the Stanza Python NLP Library pdf

Christopher D. Manning, Peng Qi, Yuhao Zhang, 2020, ArXiv.

A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.

Danica Marinac-Dabic, Tarik K Alkasab, Ronald M Summers, 2019, Journal of the American College of Radiology : JACR.

Logic and Decision-Theoretic Methods for Planning under Uncertainty

Edward H. Shortliffe, Curtis P. Langlotz, E. Shortliffe, 1989, AI Mag..

An Analysis of Categorical and Quantitative Methods for Planning Under Uncertainty

Edward H. Shortliffe, Curtis P. Langlotz, E. Shortliffe, 1988 .

Ten commandments for effective clinical decision support for imaging: enabling evidence-based practice to improve quality and reduce waste.

Ramin Khorasani, Keith Hentel, Jonathan A. Darer, 2014, AJR. American journal of roentgenology.

Categorization of acromial shape: interobserver variability with MR imaging and conventional radiography.

J. B. Kneeland, C P Langlotz, C. Langlotz, 1994, AJR. American journal of roentgenology.

The Project Baseline Health Study: a step towards a broader mission to map human health

Charlene A. Wong, T. Assimes, R. Green, 2020, npj Digital Medicine.

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

Curtis P. Langlotz, Christopher F. Beaulieu, Bao H. Do, 2017, Journal of Digital Imaging.

Staging of prostatic cancer: accuracy of MR imaging.

C. Langlotz, M. Schnall, H. Pollack, 1995, Radiology.

Structured reporting: patient care enhancement or productivity nightmare?

David L Weiss, D. L. Weiss, Curtis P Langlotz, 2008, Radiology.

Improving Cancer Diagnosis and Care: Patient Access to Oncologic Imaging Expertise.

C. Langlotz, H. Hricak, R. Schilsky, 2019, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Methodology for the economic assessment of PACS

Curtis P. Langlotz, Sheel Kishore, Sridhar B. Seshadri, 1994, Medical Imaging.

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

Oladimeji Farri, Yuan Ling, Sadid A. Hasan, 2019, Artif. Intell. Medicine.

Adapting a consultation system to critique user plans

Curtis P. Langlotz, E. Shortliffe, C. Langlotz, 1983, Journal of Medical Systems.

Assessment of follow-up completeness and notification preferences for imaging findings of possible cancer: what happens after radiologists submit their reports?

Mitchell D Schnall, Tessa S Cook, Curtis P Langlotz, 2014, Academic radiology.

Documentation of nonroutine communications of critical or significant radiology results: a multiyear experience at a tertiary hospital.

Paras Lakhani, Curtis P Langlotz, C. Langlotz, 2010, Journal of the American College of Radiology : JACR.

Cost-effectiveness of MR imaging and core-needle biopsy in the preoperative work-up of suspicious breast lesions.

C. Langlotz, M. Schnall, J. Schwartz, 1999, Radiology.

Gastrointestinal imaging: a systems analysis comparing digital and conventional techniques.

C. Langlotz, M. Levine, I. Laufer, 1999, AJR. American journal of roentgenology.

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports

Christopher D. Manning, C. Langlotz, Yuhao Zhang, 2019, ACL.

Mentoring the mentors: Aligning mentor and mentee expectations.

C. Langlotz, Y. Anzai, Janie M. Lee, 2006, Academic radiology.

The Diagnostic and Economic Yield of Neuroimaging in Neuro-ophthalmology

C. Langlotz, G. Ying, N. Volpe, 2012, Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society.

Conversion of Radiology Reporting Templates to the MRRT Standard

Charles E. Kahn, Curtis P. Langlotz, Brad W. Genereaux, 2015, Journal of Digital Imaging.

Simulating time to event prediction with spatiotemporal echocardiography deep learning pdf

John P. Cunningham, Curtis P. Langlotz, Rohan Shad, 2021, ArXiv.

Medical Imaging and Machine Learning

J. Cunningham, E. Ashley, C. Langlotz, 2021, ArXiv.

A critical synopsis of the diagnostic and screening radiology outcomes literature.

C. Langlotz, W. Black, J. Jarvik, 1999, Academic radiology.

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation pdf

Yuhao Zhang, Curtis P. Langlotz, Dan Jurafsky, 2020, NAACL.

Biosynthesis of Exopolysaccharide by Erwinia amylovora and its Enzymatic Degradation

C. Langlotz, K. Geider, W.-S. Kim, 2001 .

Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial.

Ross W. Filice, C. Langlotz, J. Seekins, 2021, Radiology.

Diagnostic performance characteristics of architectural features revealed by high spatial-resolution MR imaging of the breast.

M D Schnall, S G Orel, L W Nunes, 1997, AJR. American journal of roentgenology.

Automated extraction of critical test values and communications from unstructured radiology reports: an analysis of 9.3 million reports from 1990 to 2011.

Paras Lakhani, Curtis P Langlotz, C. Langlotz, 2012, Radiology.

Will Artificial Intelligence Replace Radiologists?

Curtis P. Langlotz, C. Langlotz, 2019, Radiology. Artificial intelligence.

Clinical and economic impact of incidental thyroid lesions found with CT and MR.

C. Langlotz, L. Loevner, D. M. Youserm, 1997, AJNR. American journal of neuroradiology.

Structured radiology reporting: are we there yet?

Curtis P Langlotz, C. Langlotz, 2009, Radiology.

Video-based AI for beat-to-beat assessment of cardiac function

Curtis P. Langlotz, Euan A. Ashley, David H. Liang, 2020, Nature.

Meta-analysis of diagnostic procedures: a brief overview.

C P Langlotz, C. Langlotz, S. Sonnad, 1998, Academic radiology.

Technology assessment methods for radiology systems.

C P Langlotz, C. Langlotz, S Seshadri, 1996, Radiologic clinics of North America.

Evaluating health services: the importance of patients' preferences and quality of life.

C P Langlotz, C. Langlotz, H. Forman, 1995, AJR. American journal of roentgenology.

AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining

A. Ng, P. Rajpurkar, C. Langlotz, 2020, Scientific Reports.

Human–machine partnership with artificial intelligence for chest radiograph diagnosis

A. J. Mariano, Louis B. Rosenberg, Gregg Willcox, 2019, npj Digital Medicine.

JOURNAL CLUB: Predictors of Provider Response to Clinical Decision Support: Lessons Learned From the Medicare Imaging Demonstration.

Sameer Malhotra, Ramin Khorasani, Ronilda C. Lacson, 2017, AJR. American journal of roentgenology.

"Chasing a Ghost": Factors that Influence Primary Care Physicians to Follow Up on Incidental Imaging Findings.

C. Langlotz, R. Frasso, H. Zafar, 2016, Radiology.

Artiﬁcial Intelligence in Medicine

Saeed Hassanpour, Curtis P. Langlotz, C. Langlotz, 2015 .

Optimization of Radiology Reports for Intensive Care Unit Portable Chest Radiographs: Perceptions and Preferences of Radiologists and ICU Practitioners

Curtis P Langlotz, C. Langlotz, W. Gefter, 2016, Journal of thoracic imaging.

Cost-effectiveness of endorectal magnetic resonance imaging for the staging of prostate cancer.

M D Schnall, S B Malkowicz, C P Langlotz, 1996, Academic radiology.

Clinical assessment of MR of the brain in nonsurgical inpatients.

C. Langlotz, K. Schulman, R. Grossman, 1996, AJNR. American journal of neuroradiology.

Accuracy of MR imaging for staging prostate cancer: a meta-analysis to examine the effect of technologic change.

C. Langlotz, S. Sonnad, J. Schwartz, 2001, Academic radiology.

Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results

Curtis P. Langlotz, Paras Lakhani, C. Langlotz, 2009, Journal of Digital Imaging.

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

Darco Lalevic, Mitchell D Schnall, Tessa S Cook, 2017, Journal of the American College of Radiology : JACR.

Prostate cancer: what is the future role for imaging?

C P Langlotz, J R Thornbury, P L Choyke, 2001, AJR. American journal of roentgenology.

Re: Endo-rectal coil magnetic resonance imaging in clinically localized prostate cancer: is it accurate?

C. Tempany, C. Langlotz, 1997, The Journal of urology.

Incremental cost of PACS in a medical intensive care unit

Regina O. Redfern, Steven C. Horii, Curtis P. Langlotz, 1995, Medical Imaging.

SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans pdf

Curtis P. Langlotz, Saeed Seyyedi, Margaret J. Wong, 2020, ArXiv.

Acute appendicitis: comparison of helical CT diagnosis focused technique with oral contrast material versus nonfocused technique with oral and intravenous contrast material.

C. Langlotz, M. Macari, D. D. Maki, 2001, Radiology.

Development and Validation of Queries Using Structured Query Language (SQL) to Determine the Utilization of Comparison Imaging in Radiology Reports Stored on PACS

Alberto F. Goldszal, Curtis P. Langlotz, Mark G. Weiner, 2005, Journal of Digital Imaging.

Accuracy of CT angiography versus pulmonary angiography in the diagnosis of acute pulmonary embolism: evaluation of the literature with summary ROC curve analysis.

C. Langlotz, W. Gefter, R. T. Harvey, 2000, Academic radiology.

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

Sameer Malhotra, Ramin Khorasani, Ronilda Lacson, 2017, AJR. American journal of roentgenology.

Automated Detection of Critical Results in Radiology Reports

Curtis P. Langlotz, Woojin Kim, Paras Lakhani, 2012, Journal of Digital Imaging.

The IR Radlex Project: an interventional radiology lexicon--a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology.

Daniel L Rubin, Michael J Wallace, Curtis P Langlotz, 2009, Journal of vascular and interventional radiology : JVIR.

A therapy planning architecture that combines decision theory and artificial intelligence techniques.

Lawrence M. Fagan, L M Fagan, E H Shortliffe, 1990, Computers and biomedical research, an international journal.

Automatic structuring of radiology reports: harbinger of a second information revolution in radiology.

Curtis P Langlotz, C. Langlotz, 2002, Radiology.

Impact of a deep learning assistant on the histopathologic classification of liver cancer.

Ryanne A. Brown, Simon B. Chen, A. Ng, 2020, NPJ digital medicine.

Patient preference for magnetic resonance versus conventional angiography. Assessment methods and implications for cost-effectiveness analysis: an overview.

C. Langlotz, J. S. Swan, 1998, Investigative radiology.

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

Eliot L Siegel, Daniel L Rubin, Swapna Abhyankar, 2017, Radiographics : a review publication of the Radiological Society of North America, Inc.

The completeness of existing lexicons for representing radiology report information.

Susan A. Caldwell, Curtis P Langlotz, Susan A Caldwell, 2002, Journal of digital imaging.

True "meaningful use": technology meets both patient and provider needs.

Curtis P Langlotz, C. Langlotz, S. Sonnad, 2015, The American journal of managed care.

Assessment of a bolus-tracking technique in helical renal CT to optimize nephrographic phase imaging.

C P Langlotz, C. Langlotz, P. Ramchandani, 1999, Radiology.

Reperfusion Edema After Thromboendarterectomy: Radiographic Patterns of Disease

C. Langlotz, H. Palevsky, A. Osiason, 1998, Journal of thoracic imaging.

Information extraction from multi-institutional radiology reports

C. Langlotz, S. Hassanpour, 2016, Artif. Intell. Medicine.

Biomedical and clinical English model packages for the Stanza Python NLP library

Christopher D. Manning, C. Langlotz, Peng Qi, 2021, J. Am. Medical Informatics Assoc..

Expanding a radiology lexicon using contextual patterns in radiology reports

Russ B. Altman, Bethany Percha, Selen Bozkurt, 2018, J. Am. Medical Informatics Assoc..

Using sonography to examine adult patients at an academic medical center: have usage patterns changed with the expansion of managed care?

C. Langlotz, P. Arger, A. Liebeskind, 2002, AJR. American journal of roentgenology.

Health IT vendors and the academic community: The 2014 ACMI debate

Alexa T. McCray, Curtis P. Langlotz, Ross Koppel, 2016, J. Biomed. Informatics.

Visualization of areae gastricae on double-contrast upper gastrointestinal radiography: relationship to age of patients.

C. Langlotz, S. Charagundla, M. Levine, 2001, AJR. American journal of roentgenology.

Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing

Saeed Hassanpour, Curtis P. Langlotz, Graham Bay, 2017, Journal of Digital Imaging.

Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository

Saeed Hassanpour, Curtis P. Langlotz, C. Langlotz, 2016, Journal of Digital Imaging.

Benefits and costs of MR imaging of prostate cancer.

C. Langlotz, 1996, Magnetic Resonance Imaging Clinics of North America.

Predicting High Imaging Utilization Based on Initial Radiology Reports: A Feasibility Study of Machine Learning.

Saeed Hassanpour, Curtis P. Langlotz, C. Langlotz, 2016, Academic radiology.

Diagnostic criteria for fatty infiltration of the liver on contrast-enhanced helical CT.

C. Langlotz, S. Rubesin, S. Horii, 1998, AJR. American journal of roentgenology.

thyroid lesions found with CT and MR. Clinical and economic impact of incidental

C. Langlotz, L. Loevner, D. M. Youserm, 2022 .

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

Tarik K. Alkasab, Walter F. Wiggins, D. Daye, 2022, Radiology.

Barium enema and colonoscopy: appropriateness of utilization in a Medicaid population

C. Langlotz, M. Levine, D. Bachwich, 1997, Abdominal Imaging.

Extracting templates from radiology reports using sequence alignment

Lyle H. Ungar, Curtis P. Langlotz, Paras Lakhani, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

Informatics in radiology: an information model of the DICOM standard.

Daniel L Rubin, Charles E Kahn, Curtis P Langlotz, 2011, Radiographics : a review publication of the Radiological Society of North America, Inc.

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Maria A. Zuluaga, M. Jorge Cardoso, Suyash P. Awate, 2023, ArXiv.

Evaluating progress in automatic chest X-ray radiology report generation

P. Rajpurkar, C. Langlotz, M. Endo, 2023, Patterns.

Truth and Transformation: RSNA's Journey Toward Equity.

C. Langlotz, C. Meltzer, P. Pandharipande, 2023, Radiology.

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

C. Langlotz, S. Halabi, D. Larson, 2017, Radiology.

Meaningful use for radiology: current status and future directions.

Ramin Khorasani, David E Avrin, Ronald L Arenson, 2013, Radiology.

ACR BI-RADS for breast imaging communication: a roadmap for the rest of radiology.

Curtis P Langlotz, C. Langlotz, 2009, Journal of the American College of Radiology : JACR.

JDI: The Official Journal of the Society for Imaging Informatics in Medicine

David R. Pickens, Curtis P. Langlotz, David E. Avrin, 2006, Journal of Digital Imaging.

Implications of Direct Patient Online Access to Radiology Reports Through Patient Web Portals.

Christoph I. Lee, J. Elmore, C. Langlotz, 2016, Journal of the American College of Radiology : JACR.

PACS workstation usage and patient outcome surrogates

Regina O. Redfern, Steven C. Horii, Paul N. Lanken, 1997, Medical Imaging.

Image workstation in a medical intensive care unit changes viewing patterns and timing of image-based clinical actions in routine portable chest radiographs

Regina O. Redfern, Steven C. Horii, Paul N. Lanken, 1996, Medical Imaging.

Cancer Informatics

J. Niland, C. Langlotz, C. Chute, 2002, Health Informatics.

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

A. Ng, Pranav Rajpurkar, C. Langlotz, 2017, ArXiv.

Use of endorectal MR imaging to predict prostate carcinoma recurrence after radical prostatectomy.

C. Langlotz, M. Schnall, S. Malkowicz, 1998, Radiology.

The IR RadLex project: an interventional radiology lexicon--a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology.

Daniel L Rubin, Michael J Wallace, Curtis P Langlotz, 2009, Journal of vascular and interventional radiology : JVIR.

Comparison of two methods to transmit clinical history information from referring providers to radiologists.

C. Langlotz, Rajan Agarwal, M. H. Bleshman, 2009, Journal of the American College of Radiology : JACR.

The Effect of PACS on the Time Required for Technologists to Produce Radiographic Images in the Emergency Department Radiology Suite

Steven C. Horii, Curtis P. Langlotz, R. O. Redfern, 2002, Journal of Digital Imaging.