Peter Kamel, MD
Department of Neuroradiology, Division of Diagnostic Imaging
About Dr. Peter Kamel
Peter Kamel, M.D. 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.
Following fellowship, Dr. Kamel joined as an Assistant Professor at the University of Maryland in the division of Neuroradiology where he served as the Clinical Director for the University of Maryland Medical Intelligent Imaging Center (UM2ii) from 2022-2025, specializing in artificial intelligence for medical imaging.
Dr. Kamel is now an Assistant Professor in the Department of Neuroradiology at MD Anderson Cancer Center. He is a Certified Imaging Informatics Professional (CIIP) and serves as the Artificial Intelligence Director for the Department of Neuroradiology.
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.
Present Title & Affiliation
Primary Appointment
Assistant Professor, Department of Neuroradiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas
Artificial Intelligence Director for the Department of Neuroradiology, Department of Neuroradiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas
Education & Training
Degree-Granting Education
| 2016 | Baylor College of Medicine, Houston, Texas, US, M.D |
| 2012 | Rice University, Houston, Texas, US, Computer Science, B.A |
| 2012 | Rice University, Houston, Texas, US, Biochemistry & Cell Biology, B.S |
Postgraduate Training
| 2021-2022 | Fellow, Neuroradiology, Johns Hopkins University, Baltimore, Maryland |
| 2020-2021 | Chief Resident, Diagnostic Radiology, Johns Hopkins University, Baltimore, Maryland |
| 2017-2021 | Resident, Diagnostic Radiology, Johns Hopkins University, Baltimore, Maryland |
| 2016-2017 | Intern, Internal Medicine, St Agnes Hospital, Baltimore, MD |
Experience & Service
Academic Appointments
Assistant Professor, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 2022 - 2025
Administrative Appointments/Responsibilities
Neuro-oncology Radiology Faculty Representative, University of Maryland School of Medicine, Baltimore, MD, 2022 - 2025
Clinical Director, Department of University of Maryland Medical Intelligent Imaging Center (UM2ii), University of Maryland School of Medicine, Baltimore, MD, 2022 - 2025
Chief Resident, Department of Diagnostic Radiology, John Hopkins University, Baltimore, Maryland, 2020 - 2021
Institutional Committee Activities
Committee Member, AI Ad Hoc Committee, 2025 - 2026
President, Student & Young Professionals Chapter, 2023 - Present
Member, Radiomics Signatures for PrecisiON Diagnostics (ReSPOND) Consortium on Glioblastoma, 2022 - Present
Secretary, Student & Young Professionals Chapter, 2021 - 2022
Honors & Awards
| 2024 | Second Place Best Poster and Demonstration Award, Society for Imaging Informatics in Medicine |
| 2023 | Foundation of the ASNR Grant Receipient, American Society of Neuroradiology |
| 2021 | Roentgen Resident Research Award, Radiological Society of North America |
| 2021 | Distinction in Informatics, Johns Hopkins University School of Medicine |
| 2021 | Distinction in Quality & Safety, Johns Hopkins University School of Medicine |
| 2021 | Second Place Trainee Paper Prize, Association of University Radiologists |
| 2020 | Research Award for Radiology Residents and Fellows, Johns Hopkins University School of Medicine |
| 2019 | Innovation Challenge People’s Choice Award, Society for Imaging Informatics in Medicine |
| 2019 | ACR-AUR Research Scholar, Association of University Radiologists |
| 2019 | Second Place Trainee Paper Prize, Association of University Radiologists |
| 2018 | Introduction to Academic Research (ITAR) Scholar, Radiological Society of North America |
| 2018 | R1 Most Cases Read, Johns Hopkins University School of Medicine |
| 2018 | Riva and Albert B. Shackman Research Award, Johns Hopkins University School of Medicine |
| 2018 | R1 Most Scholarly Activity, Johns Hopkins University School of Medicine |
| 2018 | First Place Scientific Award, Society for Imaging Informatics in Medicine |
| 2017 | Intern Resident of the Year, St. Agnes Hospital |
| 2016 | Hackathon First Place Award, Society for Imaging Informatics in Medicine |
| 2012 | First Place 2012 Health Data Initiative, Institute of Medicine |
| 2012 | Phi Beta Kappa Honor Society, Rice University |
| 2012 | Summa Cum Laude, Rice University |
| 2009 | Samuel T. Sikes Jr. Scholarship, Rice University |
| 2009 | Century Scholar, Rice University |
| 2009 | President’s Honor Roll, Rice University |
| 2009 | Rice/Baylor Medical Scholars Program |
| 2009 | United States Presidential Scholar, United States Department of Education |
| 2009 | Intel Science Talent Search Semifinalist |
Professional Memberships
Selected Publications
Peer-Reviewed Articles
- Kamel P, Kanhere A, Kulkarni P, Khalid M, Steger R, Bodanapally U, Gandhi D, Parekh V, Yi PH. Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences. J Imaging Inform Med 38(2):717-726, 2025. e-Pub 2025. PMID: 39138749.
- Miller L, Kamel P, Patel J, Agrawal J, Zhan M, Bumbarger N, Wang K. A Comparative Evaluation of Large Language Model Utility in Neuroimaging Clinical Decision Support. J Imaging Inform Med, 2024. e-Pub 2024. PMID: 39508992.
- Kamel P, Khalid M, Steger R, Kanhere A, Kulkarni P, Parekh V, Yi PH, Gandhi D, Bodanapally U. Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts. J Imaging Inform Med, 2024. e-Pub 2024. PMID: 39384719.
- Trang A, Putman K, Savani D, Chatterjee D, Zhao J, Kamel P, Jeudy JJ, Parekh VS, Yi PH. Sociodemographic biases in a commercial AI model for intracranial hemorrhage detection. Emerg Radiol 31(5):713-723, 2024. e-Pub 2024. PMID: 39034382.
- Kamel P, Brookmeyer C, Tang H, Solnes L, Lin CT. Conference Attendance Tracking and Evaluation in the Era of Virtual Conferences. Acad Radiol 29 Suppl 5:S76-S81, 2022. e-Pub 2022. PMID: 35042665.
- Nguyen DL, Kamel P, Gomez EN. Preparing junior radiology residents for overnight call via peer-led, hands-on simulation. Emerg Radiol 28(3):589-599, 2021. e-Pub 2021. PMID: 33452965.
- 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 3(3):e200486, 2021. e-Pub 2021. PMID: 34235441.
- Kamel PI, Qu X, Geiszler AM, Nagrath D, Harmancey R, Taegtmeyer H, Grande-Allen KJ. Metabolic regulation of collagen gel contraction by porcine aortic valvular interstitial cells. J R Soc Interface 11(101):20140852, 2014. e-Pub 2014. PMID: 25320066.
Other Articles
- 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 31(3):327-333, 2018. PMID: 29725963.
Book Chapters
- Luna L, Kamel P, Nadgir R. Radiologic Evaluation of Skull Base Masses. In: Cerebrospinal Fluid Rhinorrhea. 1. Elsevier, 179-198.
Letters to the Editor
- Haver HL, Bahl M, Doo FX, Kamel P, Parekh VS, Jeudy J, Yi PH. Evaluation of Multimodal ChatGPT (GPT-4V) in Describing Mammography Image Features. Can Assoc Radiol J 75: 947-949, 2024.
Selected Presentations & Talks
Local Presentations
- 2024. Demyelinating Disease. University of Maryland Resident Morning Conference. Baltimore, MD, US.
- 2024. Aging & Degeneration. University of Maryland Resident Morning Conference. Baltimore, MD, US.
- 2024. Introduction to MRI Sequences: DWI. University of Maryland Resident Noon Conference. Baltimore, MD, US.
- 2024. Pituitary Panel. University of Maryland School of Medicine Pre-Clinical Curriculum. Baltimore, MD, US.
- 2023. MRI Safety Decision-Making for Fellows. University of Maryland Neuroradiology Fellows Conference. Baltimore, MD, US.
- 2023. Imaging of Head & Neck Infections. University of Maryland Noon Conference. Baltimore, MD, US.
- 2023. Diffusion Weighted Imaging. University of Maryland Noon Conference. Baltimore, MD, US.
- 2023. Neuroradiology Board Review. University of Maryland Resident Morning Conference. Baltimore, MD, US.
- 2023. Pituitary Panel. University of Maryland School of Medicine Pre-clinical Curriculum. Baltimore, MD, US.
- 2023. Aging & Degeneration. University of Maryland Resident Morning Conference. Baltimore, MD, US.
- 2022. Demyelinating Disease. University of Maryland Resident Morning Conference. Baltimore, MD, US.
Regional Presentations
- 2025. Fundamentals of DWI Imaging. Invited. Diagnostic Radiology Morning Conference. Baltimore, Maryland, US.
- 2024. Transition to Faculty Panel. Panelist. 2024 Brain Tumor Center Neuro-Oncology Trainee Scientific Symposium. Houston, Texas, US.
- 2023. Beyond the X-ray: Exploring Artificial Intelligence in Medical Imaging. Invited. 11th Annual STEM Symposium. Baltimore, MD, US.
- 2023. Advanced MR Protocoling: Neuro Applications. Invited. Hot Topics in MRI. Baltimore, Maryland, US.
National Presentations
- 2023. Multimodality in Radiology AI Research. Panelist. Radiology: Artificial Intelligence TweetChat, US.
- 2023. Introduction to Convolutional Neural Networks. Invited. Fundamentals of Artificial Intelligence Couse. Tuscaloosa County, Alabama, US.
- 2023. Barriers to AI Applications in Healthcare. Panelist. Radiology: Artificial Intelligence TweetChat, US.
International Presentations
- 2025. From Pixels to Practice: Exploring Barriers to Artificial Intelligence in Neuroradiology. Invited. International Symposium on Biomedical Imaging. Houston, US.
Grant & Contract Support
| Date: | 2024 - 2025 |
| Title: | Dolphin: Accelerating Medical Insights with a UMMS-Specific Large Language Model Chatbot |
| Funding Source: | 2023 University of Maryland Innovation Challenge |
| Role: | Co-I |
| Date: | 2023 - 2024 |
| Title: | Cross-Modality Stroke Segmentation using Deep Convolutional Neural Networks for Detection of Acute Ischemic Infarcts on Non-Contrast Head CT |
| Funding Source: | Foundation of the ASNR Grant Program |
| Role: | PI |
| Date: | 2023 - 2024 |
| Title: | AI-Based Opportunistic Screening for Coronary Artery Calcium and Cardiovascular Risk on Chest XRays |
| Funding Source: | UM Institute for Health Computing Pilot Funding Program |
| Role: | Collaborator |
| Date: | 2023 - 2024 |
| Title: | Fast MRI: Making MRIs Faster Using Artificial Intelligence to Improve Patient Experiences and Hospital Efficiency |
| Funding Source: | 2022 University of Maryland Innovation Challenge |
| Role: | Collaborator |
Patient Reviews
CV information above last modified April 19, 2025