Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

About our team


The Healthcare Innovation and Translational Informatics lab (HITI-lab) based out of the Department of Radiology at Emory University works at the intersection Informatics , Artificial Intelligence, and Healthcare. Our projects encompass a wide range of topics from computer vision to natural language processing to radiology workflow. We strive to base each project on a real clinical need and end with implementation of our products into a clinical workflow. Our team works in an interdisciplinary environment comprised of physicians, medical and engineering students, residents, and staff scientists who can each lend their respective expertise.

Please review our Projects page for our current areas of work. If you are interested in collaborating with us contact us via email at emoryhitilab​  AT gmail​ DOT com

Publications


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


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Projects




Mammography dataset creation


This project centers around creating a large dataset of mammograms with ground truth labels extracted from radiology and pathology reports.




AI model development for breast cancer treatment and outcome management


We are developing state-of-the-art deep learning models using mammogram imaging and clinical data. BAC auto segmentation -- using deep learningLongitudinal quantification of BAC in 5 patients.Developed deep learning method for segmenting and quantifyin...




ACR DSI Lab pilot site


Emory is one of the 7 pilot sites for the American College of Radiology AI Lab to work on federated learning. This is to help improve robustness of machine learning models by improving training across different institutions using heterogeneous datasets




Neurofibromatosis Type I AI assisted reporting


Use machine learning to aid reporting of neurofibromatosis 1 MRI images.


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Courses


CS584 - Biomedical Image Analysis (Spring 2021)


Emory Graduate Course


With the advancement of deep learning, the field of biomedical imaging has exploded in recent years - but for the uninitiated, even loading nth dimensional data can be a challenge!This course will provide a broad overview of biomedical image analysis a...


CS 170 - Introduction to Programming (Summer 2020, Summer 2021


Emory Undergrad


This course is an introduction to computer science to make serious use of the computer in course work or research. Topics include: fundamental computing concepts, general programming principles, the Unix Operating System, and the Java programming langu...

Posts


Dec 10, 2020


Multimodal fusion paper in npj Digital Medicine


Achieving best performance for AI in medical imaging across use cases (like humans) need clinical contextual awareness! Published literature review multi-modal data fusion techniques. (Link)


Dec 10, 2020


Recent paper in JACR


Our paper on “Current clinical applications of #AI in radiology and their best supporting evidence “ just got published in  JACRJournal (Link)


Dec 10, 2020


New collaboration with KheironMedical to develop AI for breast cancer screening on a racially diverse population of patients


Excited to announce our collaboration with KheironMedical to address racial disparities in breast cancer AI, leveraging 300k screening exams including 50k African American women. (Link)


Jan 1, 2020


Reflecting on our work in 2019

Pages


Artificial Intelligence Companies Grouped by Modality and Specialty


Last updated May 1st 2020


Supplemental material for Radiology:AI paper


Collaborations


Our lab collaborates with a large number of academic and industrial entities.



Contact


Healthcare Innovation and Translational Informatics lab


Machine learning for Health, Imaging Informatics


emoryhitilab​@gmail​.com

Department of Radiology and Imaging Sciences


Emory University


1364 Clifton Rd NE Suite AG08
Atlanta, GA 30322
404-712-7118 (ph)
404-686-2226 (fax)

101 Woodruff Circle, Room#4103
Atlanta, GA 30322