Dr. Rajesh Bhayana
Assistant Professor of Radiology, University of Toronto
Toronto General Hospital & Princess Margaret Cancer Centre
Teaching Philosophy
Dr. Bhayana built Navigating Radiology because he was frustrated by resources that assumed knowledge instead of explaining it from first principles. His teaching philosophy is simple: use as few cases as possible to teach you everything you need to know practically. His YouTube channel has reached over 170,000 subscribers, but his true focus remains on active, DICOM-based learning that actually translates to confidence on call.
About
Dr. Rajesh Bhayana is a practising abdominal radiologist at Toronto General Hospital and Princess Margaret Cancer Centre, an Assistant Professor at the University of Toronto, and the AI & IT Lead at University Medical Imaging Toronto (UMIT). He completed his Diagnostic Radiology residency at the University of Toronto, where he served as Chief Resident, followed by an Abdominal Imaging Fellowship at Massachusetts General Hospital / Harvard Medical School. He is one of the most published voices internationally on the use of large language models (LLMs) in radiology, including the landmark 2023 Radiology studies evaluating ChatGPT on radiology board-style exams, and the state-of-the-art review Primer on LLMs for Radiologists. He is the founder of Navigating Radiology.
Subspecialty Focus
Courses built with Dr. Rajesh Bhayana
CT Abdomen/Pelvis
Master the bread-and-butter CT abdomen emergencies with 52 real DICOM cases and expert video walkthroughs.
View CourseCT Cervical Spine
In-depth video covers everything you need to know, with several cases presented in the video lecture itself. Comprehensive.
View CourseCT Chest & CTPA
Navigate thoracic imaging with 40 real DICOM cases covering PE, dissection, diffuse lung disease, and more.
View CourseCT Head and Neck
In progress. The head and neck emergencies you should never miss. We cover the principles that matter.
View CourseCT Head & CTA Neuro
Master on-call neuroimaging with 31 scrollable DICOM cases covering stroke, haemorrhage, and trauma.
View CourseCT Post-Op Abdomen
Learn to read post-operative abdominal CTs systematically with 24 curated cases. It covers the principles and common complications you need to know.
View CourseCT Trauma: Chest, Abdo
You don't need to see active extravasation in every single organ, or memorize AAST grading. This course covers trauma imaging principles, efficiently.
View CourseLiver MRI
Master liver lesion characterisation with 30 real DICOM cases and expert video walkthroughs.
View CoursePancreas MRI
Master pancreatic mass characterisation with 20 real DICOM cases.
View CourseBiliary MRI
Navigate biliary pathology on MRI with 20 cases covering obstruction, cholangiocarcinoma, and PSC.
View CourseRectal MRI
Master rectal cancer staging and restaging with 19 high-yield DICOM cases.
View CourseGyne MRI
Master female pelvic MRI with 34 cases covering adnexal masses, cancer staging, and congenital anomalies.
View CourseAdrenal MRI
Master adrenal characterisation with 8 curated cases covering adenomas, pheo, and malignancy.
View CourseProstate MRI
Master PI-RADS scoring with 24 real DICOM cases and expert guidance.
View CourseRenal MRI
Master renal mass characterisation with 25 cases covering Bosniak v2019 and solid renal masses.
View CourseHighlights & Awards
- Multiple Toronto Residency and Fellowship Teaching Awards
- Multiple Local and Provincial Teaching Awards
- Founder, Navigating Radiology
- AI & IT Lead, University Medical Imaging Toronto (UMIT)
- Associate Editor for AI and Radiomics, Radiology
Select Publications
- Bhayana R, et al. Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications. Radiology, 2024
- Bhayana R, et al. Performance of ChatGPT on a Radiology Board-style Examination: Insights into Current Strengths and Limitations. Radiology, 2023
- Bhayana R, et al. GPT-4 in Radiology: Improvements in Advanced Reasoning. Radiology, 2023
- Bhayana R, et al. Large Language Models for Automated Synoptic Reports and Resectability Categorization in Pancreatic Cancer. Radiology, 2024
- Bhayana R, et al. Leveraging Large Language Models to Generate Clinical Histories for Oncologic Imaging Requisitions. Radiology, 2025
- Bhayana R, et al. Accuracy of Large Language Model–based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports. Radiology, 2025
- Bhayana R, et al. Optimizing Large Language Models for Automated Protocoling of Abdominal and Pelvic CT Scans: The Power of Context. Radiology, 2026
- View all publications on Google Scholar