Advice Generation in an Axiomatically-Based Expert System

Por Langlotz, Curtis P.
Publicado em 1987

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

Por Lakhani, Paras, Langlotz, Curtis P.
Publicado em 2009

Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository

Por Hassanpour, Saeed, Langlotz, Curtis P.
Publicado no J Digit Imaging (2015)

Information extraction from multi-institutional radiology reports

Por Hassanpour, Saeed, Langlotz, Curtis P.
Publicado no Artif Intell Med (2015)

An Analysis of Categorical and Quantitative Methods for Planning Under Uncertainty

Por Langlotz, Curtis P., Shortliffe, Edward H.
Publicado em 1988

Radiologist Use of and Perceived Need for Patient Data Access

Por Boonn, William W., Langlotz, Curtis P.
Publicado em 2008

Automated Detection of Critical Results in Radiology Reports

Por Lakhani, Paras, Kim, Woojin, Langlotz, Curtis P.
Publicado em 2011

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

Por Hassanpour, Saeed, Bay, Graham, Langlotz, Curtis P.
Publicado no J Digit Imaging (2017)

Conversion of Radiology Reporting Templates to the MRRT Standard

Por Kahn, Charles E., Genereaux, Brad, Langlotz, Curtis P.
Publicado no J Digit Imaging (2015)

Informatics in Radiology: An Information Model of the DICOM Standard(1)

Por Kahn, Charles E., Langlotz, Curtis P., Channin, David S., Rubin, Daniel L.
Publicado em 2011

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

Por Zafar, Hanna M., Bugos, Eva K., Langlotz, Curtis P., Frasso, Rosemary
Publicado no Radiology (2016)

Expanding a radiology lexicon using contextual patterns in radiology reports

Por Percha, Bethany, Zhang, Yuhao, Bozkurt, Selen, Rubin, Daniel, Altman, Russ B, Langlotz, Curtis P
Publicado no J Am Med Inform Assoc (2018)

Clinical Decision Support Increases Diagnostic Yield of Computed Tomography for Suspected Pulmonary Embolism

Por Mills, Angela M., Ip, Ivan K., Langlotz, Curtis P., Raja, Ali S., Zafar, Hanna M., Khorasani, Ramin
Publicado no Am J Emerg Med (2017)

Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs

Por Dunnmon, Jared A., Yi, Darvin, Langlotz, Curtis P., Ré, Christopher, Rubin, Daniel L., Lungren, Matthew P.
Publicado no Radiology (2019)

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

Por Larson, David B., Harvey, Hugh, Rubin, Daniel L., Irani, Neville, Tse, Justin R., Langlotz, Curtis P.
Publicado no J Am Coll Radiol (2021)

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

Por Lakhani, Paras, Menschik, Elliot D., Goldszal, Alberto F., Murray, Joseph P., Weiner, Mark G., Langlotz, Curtis P.
Publicado em 2006

Assessment of Follow-up Completeness and Notification Preferences for Imaging Findings of Possible Cancer: What Happens After Radiologists Submit Their Reports?

Por Sloan, Caroline E., Chadalavada, Seetharam C., Cook, Tessa S., Langlotz, Curtis P., Schnall, Mitchell D., Zafar, Hanna M.
Publicado no Acad Radiol (2014)

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

Por Vreeman, Daniel J, Abhyankar, Swapna, Wang, Kenneth C, Carr, Christopher, Collins, Beverly, Rubin, Daniel L, Langlotz, Curtis P
Publicado no J Am Med Inform Assoc (2018)

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

Por Zafar, Hanna M., Chadalavada, Seetharam C., Kahn, Charles E., Cook, Tessa S., Sloan, Caroline E., Lalevic, Darco, Langlotz, Curtis P., Schnall, Mitchell D.
Publicado no J Am Coll Radiol (2015)

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

Por Nass, Sharyl J., Cogle, Christopher R., Brink, James A., Langlotz, Curtis P., Balogh, Erin P., Muellner, Ada, Siegal, Dana, Schilsky, Richard L., Hricak, Hedvig
Publicado no J Clin Oncol (2019)