Diagnostic Radiology and Nuclear Medicine
Clinical Director University of Maryland Medical Intelligent Imaging (UM2ii) Center
Education and Training
2012: B.S. Biochemistry & Cell Biology; B.A. Computer Science - Rice University
2016: M.D. - Baylor College of Medicine
2017: Internship - Internal Medicine - St. Agnes Hospital
2021: Residency - Diagnostic Radiology - Johns Hopkins Hospital
2022: Fellowship - Neuroradiology - Johns Hopkins Hospital
Peter Kamel, MD graduated summa cum laude from Rice University in 2012 with dual degrees in Computer Science and Biochemistry & Cell Biology, completing both degrees within 3 years. He subsequently earned an M.D. at Baylor College of Medicine as part of the Rice/Baylor Medical Scholars Program.
Dr. Kamel completed residency in Diagnostic Radiology at Johns Hopkins Hospital in Baltimore, MD, during which he served as Chief Resident from 2020-2021 and graduated with distinctions in Informatics and Quality and Safety. He subsequently completed a fellowship in Neuroradiology at Johns Hopkins Hospital.
Dr. Kamel is now an Assistant Professor at the University of Maryland in the division of Neuroradiology. He is a Certified Imaging Informatics Professional (CIIP) and currently serves as the Clinical Director for the University of Maryland Medical Intelligent Imaging Center (UM2ii), specializing in artificial intelligence for medical imaging.
Dr. Kamel is a United States Presidential Scholar inducted by President Barack Obama and has won numerous awards including the Institute of Medicine (IOM) 2012 Health Data Challenge, Society for Imaging Informatics in Medicine (SIIM) 2016 Hackathon, and SIIM 2019 Innovation Challenge People's Choice Award. He has had a leading role in several start-ups and is an active software developer for medical imaging applications with research interests in clinical informatics, big data, machine learning, and artificial intelligence.
Kamel PI, Yi PH, Sair HI, Lin CT. Prediction of Coronary Artery Calcium and Cardiovascular Risk on Chest Radiographs Using Deep Learning. Radiol Cardiothorac Imaging. 2021 Jun 17;3(3):e200486. doi: 10.1148/ryct.2021200486. PMID: 34235441; PMCID: PMC8250412.
Kamel P, Brookmeyer C, Tang H, Solnes L, Lin CT. Conference Attendance Tracking and Evaluation in the Era of Virtual Conferences. Acad Radiol. 2022 May;29 Suppl 5:S76-S81. doi: 10.1016/j.acra.2021.12.012. Epub 2022 Jan 15. PMID: 35042665; PMCID: PMC8760604.
Kamel PI, Nagy PG. Patient-Centered Radiology with FHIR: an Introduction to the Use of FHIR to Offer Radiology a Clinically Integrated Platform. J Digit Imaging. 2018 Jun;31(3):327-333. doi: 10.1007/s10278-018-0087-6. PMID: 29725963; PMCID: PMC5959836.