Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

Publications


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Current clinical applications of artificial intelligence in radiology and their best supporting evidence.


Amara Tariq, Saptarshi Purkayastha, Geetha Priya Padmanaban, Elizabeth Krupinski, Hari Trivedi, Imon Banerjee, Judy Wawira Gichoya.


Journal of the American College of Radiology , vol. 17(11), p. 2020


Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes


Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker


International Conference on Artificial Intelligence in Medicine, Springer, 2020, pp. 100--110


Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers


Imon Banerjee, Luis de Sisternes, Joelle A Hallak, Theodore Leng, Aaron Osborne, Philip J Rosenfeld, Giovanni Gregori, Mary Durbin, Daniel Rubin


Scientific Reports, Nature Publishing Group, 2020, pp. 1--16


Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications


Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jeong, Hari Trivedi, Judy W Gichoya


arXiv preprint arXiv:2006.13262, 2020


Phenotyping severity of patient-centered outcomes using clinical notes: A prostate cancer use case


Selen Bozkurt, Rohan Paul, Jean Coquet, Ran Sun, Imon Banerjee, James D Brooks, Tina Hernandez-Boussard


Learning health systems, Wiley Online Library, 2020, pp. e10237


PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging


Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L Ball, Norah Borus, Andrew Huang, Bhavik N Patel, Pranav Rajpurkar, Jeremy Irvin, others


npj Digital Medicine, Nature Publishing Group, 2020, pp. 1--9


Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines


Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P Lungren


NPJ digital medicine, Nature Publishing Group, 2020, pp. 1--9


Development and validation of natural language processing (NLP) algorithm for detection of distant versus local breast cancer recurrence and metastatic site.


Yasmin Karimi, Douglas W Blayney, Allison W Kurian, Daniel Rubin, Imon Banerjee


American Society of Clinical Oncology, 2020


Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS


Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Imon Banerjee, Judy Wawira Gichoya


arXiv preprint arXiv:2004.07965, 2020


A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports.


Scott J Lee, Brent D Weinberg, Ashwani Gore, Imon Banerjee


Journal of Digital Imaging, Springer, 2020


Generalization of Deep Convolutional Neural Networks--A Case-study on Open-source Chest Radiographs


Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya, Imon Banerjee


arXiv preprint arXiv:2007.05786, 2020


Beyond the artificial intelligence hype: what lies behind the algorithms and what we can achieve


Marly van Assen, Imon Banerjee, Carlo N De Cecco


Journal of Thoracic Imaging, LWW, 2020, pp. S3--S10


Cancer Treatment Classification with Electronic Medical Health Records


Jiaming Zeng, Imon Banerjee, Michael Gensheimer, Daniel Rubin


AAAI (Student Abstract), 2020, pp. 18--9


Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement


J. Raymond Geis, Adrian P. Brady, Carol C. Wu, Jack Spencer, Erik Ranschaert, Jacob L. Jaremko, Steve G. Langer, Andrea Borondy Kitts, Judy Birch, William F. Shields, Robert van den Hoven van Genderen, Elmar Kotter, Judy Wawira Gichoya, Tessa S. Cook, Matthew B. Morgan, An Tang, Nabile M. Safdar, Marc Kohli


Journal of The American College of Radiology, vol. 16(11), 2019 Sep 31, pp. 1516-1521


Machine Learning for the Interventional Radiologist


Ryan D. Meek, Matthew P. Lungren, Judy W. Gichoya


American Journal of Roentgenology, vol. 213(4), 2019 Aug 30, pp. 782-784


The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging


Brianna L. Vey, Judy W. Gichoya, Adam Prater, C. Matthew Hawkins


Journal of The American College of Radiology, vol. 16(9), 2019 Jul 31, pp. 1273-1278


The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network


Valeria Makeeva, Judy Gichoya, C. Matthew Hawkins, Alexander J. Towbin, Marta Heilbrun, Adam Prater


Journal of The American College of Radiology, vol. 16(9), 2019 Jul 31, pp. 1254-1258


Write Code, Save Lives: How a Community Uses Open Innovation to Address a Societal Challenge


Jonathan Sims, Judy Gichoya, Gaurab Bhardwaj, Marcel Bogers


R & D Management, vol. 49(3), 2019 Apr 31, pp. 369-382


Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers


Dmytro S. Lituiev, Hari Trivedi, Maryam Panahiazar, Beau Norgeot, Youngho Seo, Benjamin L. Franc, Roy Harnish, Michael Kawczynski, Dexter Hadley


Journal of Digital Imaging, vol. 32(2), 2019 Feb 31, pp. 228-233


Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning


Hari M. Trivedi, Maryam Panahiazar, April Liang, Dmytro Lituiev, Peter Chang, Jae Ho Sohn, Yunn-Yi Chen, Benjamin L. Franc, Bonnie Joe, Dexter Hadley


Journal of Digital Imaging, vol. 32(1), 2019 31, pp. 30-37


Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria


Saptarshi Purkayastha, Roshini Allam, Pallavi Maity, Judy W. Gichoya


Healthcare Informatics Research, vol. 25(2), 2018 Nov 31, pp. 89-98


A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System


Judy W. Gichoya, Marc D. Kohli, Larry Ivange, Teri S. Schmidt, Saptarshi Purkayastha


Journal of Digital Imaging, vol. 31(3), 2018 Apr 31, pp. 361-370


Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson’s Natural Language Processing Algorithm


Hari Trivedi, Joseph Mesterhazy, Benjamin Laguna, Thienkhai Vu, Jae Ho Sohn


Journal of Digital Imaging, vol. 31(2), 2018 Feb 31, pp. 245-251


Protecting Your Patients’ Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics


Patricia Balthazar, Peter Harri, Adam Prater, Nabile M. Safdar


Journal of The American College of Radiology, vol. 15(3), 2018 31, pp. 580-586


Machine Learning in Radiology: Applications Beyond Image Interpretation


Paras Lakhani, Adam B. Prater, R. Kent Hutson, Kathy P. Andriole, Keith J. Dreyer, Jose Morey, Luciano M. Prevedello, Toshi J. Clark, J. Raymond Geis, Jason N. Itri, C. Matthew Hawkins


Journal of The American College of Radiology, vol. 15(2), 2017 Sep 31, pp. 350-359


Proving Value in Radiology: Experience Developing and Implementing a Shareable Open Source Registry Platform Driven by Radiology Workflow


Judy Wawira Gichoya, Marc D Kohli, Paul Haste, Elizabeth Mills Abigail, Matthew S Johnson


Journal of Digital Imaging, vol. 30(5), 2017 Aug 30, pp. 602-608


Using cognitive fit theory to evaluate patient understanding of medical images


Judy Wawira Gichoya, Mohammad Alarifi, Ria Bhaduri, Bilal Tahir, Saptarshi Purkayastha


embc, International Conference of the IEEE Engineering in Medicine and Biology Society, 2017 May 30, pp. 2430-2433


Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data


Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis


Journal of Biomedical Informatics, 2017 Mar 30, pp. 160-176


Enhancing Workflow Analysis in Acute Stroke Patients Using Radiofrequency Identification and Infrared-based Real-Time Location Systems


Adam Prater, Meredith Bowen, Emily Pavich, C. Matthew Hawkins, Nabile Safdar, Jack Fountain, Aaron Anderson, Mike Frankel, Seena Dehkharghani


Journal of The American College of Radiology, vol. 14(2), 2017 31, pp. 231-234


Providers’ Access of Imaging Versus Only Reports: A System Log File Analysis


Hye-Young Jung, Judy Wawira Gichoya, Joshua R. Vest


Journal of The American College of Radiology, vol. 14(2), 2017 31, pp. 217-223


Big Data and the Future of Radiology Informatics


Akash P. Kansagra, John-Paul J. Yu, Arindam R. Chatterjee, Leon Lenchik, Daniel S. Chow, Adam B. Prater, Jean Yeh, Ankur M. Doshi, C. Matthew Hawkins, Marta E. Heilbrun, Stacy E. Smith, Martin Oselkin, Pushpender Gupta, Sayed Ali


Academic Radiology, vol. 23(1), 2015 Nov 31, pp. 30-42


An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System


Judy Gichoya, Roland E. Gamache, Daniel J. Vreeman, Brian E. Dixon, John T. Finnell, Shaun Grannis


amia, American Medical Informatics Association Annual Symposium, 2011 Nov 31, pp. 1229-1236