Healthcare Innovations and Translational Informatics lab (HITI) @ Emory

Machine learning for Health, Imaging Informatics


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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