Content Reviewed: 2022-03-26
2 CME
17 Videos
12 Clinical Cases
2 CME
Course Instructor: Roger S. Yang, MD, FACR
Breast Imaging Advisor: Rachel F. Brem, MD, FACR, FSBI
Artificial Intelligence (AI) in the field of Radiology is rapidly evolving from an interesting research concept to an essential new tool in the radiologist’s toolkit. Radiologists and imaging practices need to fully understand the strengths and limitations of AI in order to successfully integrate AI into the radiologist’s workflow.
MRI Online is pleased to bring you this unique Mastery Course (earn 1.75 radiology CME credits) from Dr Roger Yang on the Practical Application of Artificial Intelligence (AI) in Breast Imaging.
This breast radiology course takes a pragmatic, practice-based approach through the eyes of a radiologist who has implemented AI at their practice.
In the first half of the course, Dr Yang addresses head-on the various perspectives on use of AI in Radiology, including patient, physician, media, and ethical viewpoints. He then goes in-depth on the practical application of AI for the radiologist, including the following topics:
In the second half of the course, Dr Yang walks through real-world examples and showcases the results from CAD, AI, and the radiologist in the same case. Key images of the result with and without AI and CAD are also provided for the learner.
Case examples include:
This course will show you how AI is being effectively used in Breast Imaging practice today. When appropriately implemented, AI has the power to help the radiologist identify suspicious lesions more quickly. Combined with the radiologist’s knowledge of the patient’s clinical history and prior scans, AI can aid the accuracy and efficiency of breast cancer screening and help address health disparity gaps in interpretation variability across practices.
Disclaimer: The presenter will instruct with real-world cases using the software available in their practice. Other products are available and may also be considered.
Course Instructor: Roger S. Yang, MD, FACR
Breast Imaging Advisor: Rachel F. Brem, MD, FACR, FSBI
Artificial Intelligence (AI) in the field of Radiology is rapidly evolving from an interesting research concept to an essential new tool in the radiologist’s toolkit. Radiologists and imaging practices need to fully understand the strengths and limitations of AI in order to successfully integrate AI into the radiologist’s workflow.
Learning Outcomes & CME Information
Roger Yang, MD, FACR
Radiologist, Partner, and Board Officer at University Radiology Group
Clinical Associate Professor of Radiology Rutgers RWJ Medical School
Rachel F Brem, MD, FACR, FSBI
Professor and Vice-Chair- George Washington University
Director- Breast Imaging and Interventional Center
1 hr. 5 min.
12 Clinical Cases
57 min.
Mammography Worklist AI Triage- AI Case
5 m.
Normal Mammogram - Dense Breast - AI Case
3 m.
Normal Mammogram – Fatty Breast- AI Case
3 m.
Complex Tissue and Calcifications- AI Case
6 m.
Lumpectomy Site- AI Case
4 m.
Fibroadenoma- AI Case
6 m.
Papilloma- AI Case
5 m.
Malignancy with Subtle Cancer – AI Correct- AI Case
6 m.
Malignancy with Architectural Distortion – AI Case
5 m.
Malignancy and Vascular Calcifications – AI Case
8 m.
DCIS Calcifications – AI Case
6 m.
Cancer Missed by Traditional CAD – AI Case
5 m.
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