Radiologist | AI Researcher
SUMMARY ACCOMPLISHMENTS/SPECIALTIES
Software Development
Led development of a prototype web application that reduced time to mark hip fractures by >95%. Founded a company (Radlearn.AI) around this concept and created tech stack that supports multi-user annotation on CTs and MRIs. Enabled the software to uniquely allow the segmentation of 3D imaging features.
Clinical & AI Research
Used deep learning and informatics to understand clinical data and develop solutions for healthcare research problems. Created Weill Cornell Medical Center’s first pipeline for segmenting polycystic kidney disease (shortened kidney segmentation time >99%). Developed UT-Southwestern Medical Center’s first automated pipeline for calculating aortic stiffness MRI marker in >1,800 patients. Co-authored 5 articles in peer-reviewed journals. List of published articles.
Medical Practice
Completed 5 years of radiology residency at Columbia University and 1 year of body MRI fellowship at Weill Cornell Medicine. Worked at the intersection of primary care physicians, clinical specialists, technologists, and patients. Leveraged medical experience for insights into the most critical variables in healthcare.
Management
Used experience as CEO of Radlearn.AI to create products that give users optimal experiences, manage projects from end to end, and ensure adherence to budgets and schedules. Determined priorities across a wide range from UI/UX, application performance, and product features.
Communication
Gave oral presentations and moderated sessions at some of the world’s largest medical conferences, including the Radiology Society of North America. Presented clinical radiology and deep-learning research at Columbia University, Weill Cornell Medicine, and University of Maryland. Won $10K for pitch presentation and demo of AI Software platform Radlearn.AI at Society of Imaging Informatics Innovation Challenge.
AI Research • Deep Learning • Machine Learning • Software Development • Neural Networks • Radiology • Oncology
Data Science • Data Analysis • Clinical Research • Project Management • Jira
Software Development • Python • Java • JavaScript • C • C++ • R • Bash • GitHub • Docker
PyTorch • Keras • NumPy • TensorBoard • Matplotlib • Pandas • Jupyter Notebook
PROFESSIONAL EXPERIENCE
Weill Cornell Medicine/New York-Presbyterian
Radiology Fellow and Research Scientist
2019–Present
Radlearn.AI
Founder and CEO
2017–Present
Columbia University Medical Center/New York-Presbyterian
Radiology Resident and Researcher
2015–2019
UT-Southwestern Medical Center
Doris Duke Clinical Research Fellow
2012–2013
Radlearn.AI Demo
UTSW Medical Center Demo
EDUCATION / TRAINING
Research Fellow, Body Imaging & Informatics, Weill Cornell Medical Center
2019 – Present
Resident, Diagnostic Radiology, Columbia University Medical Center
2015 – 2019
Intern, Transitional year, Christiana Care Health Care System
2014 – 2015
MD, Rutgers – Robert Wood Johnson Medical School
2009 – 2014
BS, Computer Science, Carnegie Mellon University
2005 – 2009
PUBLICATIONS
ABSTRACTS, POSTERS, AND PRESENTATIONS
- Goel, A., Shih, G., Riyahi, S., Mutasa, S., Prince, M. (2020). Convolutional Neural Networks for Automated Segmentation of Autosomal Dominant Polycystic Kidney Disease. Accepted Oral presentation at the Society for Imaging Informatics in Medicine 2020, Austin TX.
- Goel, A., Rasiej, M., Weintraub, J., & Gul, M. (2018). Deep Learning for Comprehensive Automated Radiology Protocolling. Oral presentation at the Society for Imaging Informatics in Medicine 2018, Fort Washington MD.
- Goel, A., Chang, P., Sandhu, R., & Ayyala, R. (2017). RadChanges: An Automated Tool to Improve Radiology Resident Learning. Oral presentation at the Society for Imaging Informatics in Medicine 2017, Pittsburgh PA.
- Goel, A., & Shih, G. (2016). "Mind in the Machine: A Radiology Primer on Machine Learning". Poster at the Radiological Society of North America 2016 Scientific Assembly and Annual Meeting, Chicago IL.
- Goel, A., Covey, A., Brody, L., Robson, P., Brown, K., & Erinjeri, J. (2016). "Predicting chemotherapy-induced neutropenia in patients undergoing interventional radiology procedures: a Monte Carlo simulation". Poster at the Society of Interventional Radiology (SIR) 40th Annual Scientific Meeting 2016, Vancouver BC.
- Chang, P., Goel, A., Yang, P., Filippi, C., & Schwartz, L. (2015). "A novel multimodal algorithm for fully automated whole-brain segmentation". Poster at the New York Medical Imaging Informatics Symposium, New York NY.
- Goel, A., Yarmohammadi, H., Boas, E., & Erinjeri, J. (2015). "Hematologic effects of chemotherapy commonly used in patients undergoing IR procedures: What is the safe window?". Poster at the Society of Interventional Radiology (SIR) 40th Annual Scientific Meeting 2015, Atlanta GA.
- Goel, A., Peshock, R. M., Maroules, C., Ayers, C., McColl, R., & King, K. S. (2013). "Ethnic Differences in aortic stiffening across the adult life span: Results from MRI aortic pulse wave velocity measurements in the Dallas Heart Study". Oral presentation at the Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, Chicago IL.
- Goel, A., King, K. S., Maroules, C., Ayers, C., McColl, R., & Peshock, R. M. (2013). "Using Classification Trees to Predict Progression of Aortic Stiffness". Poster at the Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, Chicago IL.
- Goel, A., King, K. S., McColl, R., & Peshock, R. M. (2013, May 28-30). "Effects of cardiovascular risk factors and aortic arch pulse-wave velocity in the Dallas Heart Study". Oral presentation at the Doris Duke Clinical Research Fellowship 2013 Annual Meeting, Herndon VA.
MANUSCRIPTS
- Cardiovascular outcome associations among cardiovascular magnetic resonance measures of arterial stiffness: the Dallas heart study
CD Maroules, A Khera, C Ayers, A Goel, RM Peshock, S Abbara, KS King
Journal of Cardiovascular Magnetic Resonance 16 (1), 33602014 - Ethnic difference in proximal aortic stiffness: an observation from the Dallas Heart Study
A Goel, CD Maroules, GF Mitchell, R Peshock, C Ayers, R McColl, ...
JACC: Cardiovascular Imaging 10 (1), 54-61292017 - Fully automated tool to identify the aorta and compute flow using phase‐contrast MRI: Validation and application in a large population based study
A Goel, R McColl, KS King, A Whittemore, RM Peshock
Journal of Magnetic Resonance Imaging 40 (1), 221-228182014 - Breast MRI screening for average‐risk women: A monte carlo simulation cost–benefit analysis
VL Mango, A Goel, E Mema, E Kwak, R Ha
Journal of Magnetic Resonance Imaging 49 (7), e216-e22152019 - Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification
S Mutasa, S Varada, A Goel, TT Wong, MJ Rasiej
Journal of Digital Imaging, 1-92020
Statistics
112
Citations
4
h-index
3
i10-index