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Tessa Sundaram Cook, MD PhD

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Assistant Professor of Radiology at the Hospital of the University of Pennsylvania
Chief, 3-D and Advanced Imaging, Department of Radiology, Hospital of the University of Pennsylvania
Fellowship Director, Imaging Informatics, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania
Active Radiologist, Phoenixville Hospital, Dept. of Radiology
Director, Center for Practice Transformation, Department of Radiology, Hospital of the University of Pennsylvania
Department: Radiology

Contact information
Hospital of University of Pennsylvania
Department of Radiology
1 Silverstein
3400 Spruce Street
Philadelphia, PA 19104
Office: 215-662-3431
Fax: 215-662-3037
Education:
B.S.E (Biomedical Engineering)
Johns Hopkins University Whiting School of Engineering, Baltimore MD, 1997.
B.S.E. (Computer Science)
Johns Hopkins University, 1997.
M.S.E (Biomedical Engineering)
Johns Hopkins University Whiting School of Engineering, Baltimore MD, 1999.
M.D./Ph.D (Medicine and Bioengineering)
University of Pennsylvania School of Medicine & University of Pennsylvania School of Engineering and Applied Sciences, Philadelphia, PA, 2007.
Post-Graduate Training
Internal Medicine Internship, Hospital of the University of Pennsylvania, Philadelphia, PA, Department of Medicine, 2007-2008.
Diagnostic Radiology Resident, Research Track, Hospital of the University of Pennsylvania, Philadelphia, PA, Department of Radiology, 2008-2012.
Cardiovascular Imaging Fellow, Hospital of the University of Pennsylvania, Philadelphia, PA, Department of Radiology, 2012-2013.
Certifications
American Board of Radiology , 2012.
Certification Board for Cardiovascular Computed Tomography, 2012.
American Board of Imaging Informatics, 2017.
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Description of Clinical Expertise

- cardiac CT, MRI
- vascular CTA, MRA
- radiography
- thoracic and abdominal CT
- ultrasound
- DXA

Description of Research Expertise

Current
- imaging informatics
- workflow optimization
- artificial intelligence
- follow-up monitoring
- innovation

Previous
- radiation dose monitoring
- radiation dose reduction
- mobile apps for radiology education

Selected Publications

Jackson M Steinkamp, Charles Chambers, Darco Lalevic, Hanna M Zafar, Tessa S Cook: Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning. J Dig Img 32(4): 554-564, Aug 2019.

CA Umscheid, Jonathan Wilen, Matthew Garin, JD Goldstein, TS Cook, Yulun Liu, Yong Chen, JS Myers: National Survey of Hospitalists' Experiences with Incidental Pulmonary Nodules. Journal of Hospital Medicine 46(6): 353-356, Jun 2019.

Langlotz CP, Allen B, Erickson BJ, Kalpathy-Cramer J, Bigelow K, Cook TS, Flanders AE, Lungren MP, Mendelson DS, Rudie JD, Wang G, Kandarpa K: A roadmap for foundational research on artificial intelligence in medical imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop. Radiology 291(3): 781-791, Jun 2019.

Liao GJ, Liao JM, Lalevic D, Zafar Hm, Cook TS: Location, Location, Location: The Association Between Imaging Setting and Follow-Up of Findings of Indeterminate Malignant Potential. J Am Coll Rad 16(6): 781-787, Jun 2019.

Martin-Carreras T, Cook TS, Kahn Jr CE: Readability of radiology reports: implications for patient-centered care. Clinical Imaging 54: 116-120, Mar 2019.

Cho JK, Zafar HM, Lalevic D, Cook TS: Patient Factor Disparities in Imaging Follow-Up Rates After Incidental Abdominal Findings. AJR Am J Roentgenol 212(3): 589-595, Mar 2019.

Vey BL, Cook TS, Nagy P, Bruce RJ, Filice RW, Wang KC, Safdar NM: A Survey of Imaging Informatics Fellowships and Their Curricula: Current State Assessment. J Dig Img 32(1): 91-96, Feb 2019.

George Shih, Carol C Wu, Safwan S Halabi, Marc D Kohli, Luciano M Prevedello, Tessa S Cook, Arjun Sharma, Judith K Amorosa, Veronica Arteaga, Maya Galperin-Aizenberg, Ritu R Gill, Myrna CB Godoy, Stephen Hobbs, Jean Jeudy, Archana Laroia, Palmi N Shah, Dharshan Vummidi, Kavitha Yaddanapudi, Anouk Stein: Augmenting the National Institutes of Health chest radiograph dataset with expert annotations of possible pneumonia. Radiology: Artificial Intelligence 1(1): e180041, Jan 2019.

Jeffrey D. Rudie, MD, PhD; Xie Long, PhD; Wang Jiancong; Jeffrey Duda, PhD; Joshua Choi, MD; Raghav Mattay, MD; Po-Hao Chen, MD, MBA; R Nick Bryan, MD, PhD; Emmanuel Botzolakis, MD, PhD; Ilya Nasrallah, MD, PhD; Tessa Cook, MD, PhD, CIIP; Suyash Mohan, MD; James Gee, PhD; Andreas M. Rauschecker, MD, PhD: Deep Learning and Bayesian Inference System for Automated Brain MR Diagnosis Performs at Level of Academic Neuroradiologists and Augments Resident Performance. SIIM 2019 2019 Notes: Oral.

Andreas M. Rauschecker, MD, PhD; Long Xie, PhD; Wang Jiancong; Michael T. Duong; R. Nick Bryan, MD, PhD; Emmanuel Botzolakis, MD, PhD; Ilya Nasrallah, MD, PhD; Asha Kovalovich, MD; John Egan, MD; Tessa Cook, MD, PhD, CIIP; Suyash Mohan, MD; James Gee, PhD; Jeffrey D. Rudie, MD, PhD: Artificial Intelligence System Achieves Academic Neuroradiologist Level Diagnosis on Diseases of Cerebral Hemispheres. SIIM 2019 2019 Notes: Oral.

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Last updated: 12/11/2019
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