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Adults (18-65), Geriatrics (65+)
Adults (18-65), Geriatrics (65+)
3400 Spruce Street
Philadelphia, PA 19104
Current- imaging informatics- workflow optimization- artificial intelligence- follow-up monitoring- innovation & practice transformation- patient-centered carePrevious- radiation dose monitoring- radiation dose reduction- mobile apps for radiology education
Jackson M Steinkamp, Charles Chambers, Darco Lalevic, Hanna M Zafar, Tessa S Cook: Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning Journal of Digital Imaging 32 (4): 554-564,2019.
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): 353-356,2019.
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): 781-791,2019.
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 Journal of the American College of Radiology 16 (6): 781-787,2019.
Martin-Carreras T, Cook TS, Kahn Jr CE: Readability of radiology reports: implications for patient-centered care Clinical Imaging 54 : 116-120,2019.
Cho JK, Zafar HM, Lalevic D, Cook TS: Patient Factor Disparities in Imaging Follow-Up Rates After Incidental Abdominal Findings AJR 212 (3): 589-595,2019.
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 Journal of Digital Imaging 32 (1): 91-96,2019.
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): e180041,2019.
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 Society for Imaging Informatics in Medicine : 2019.
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 Society for Imaging Informatics in Medicine : 2019.
Hospital of University of PennsylvaniaDepartment of Radiology1 Silverstein3400 Spruce Street