Course description:

This course is related to temporal bone anatomy that the OMR radiologist needs to understand. During TMJ imaging most of the bony structures evaluated by the oral radiologist are directed to the TMJ itself. However, in proximity to the TMJ there are significant temporal bony structures and anatomy that is shown in most of the imaging studies. Specific pathology can affect this structures that can present clinically as TMJ pain and or tinnitus.

This course will focus in temporal bone anatomy directed to the OMR radiologist. Four main scenarios that can be detected during standard TMJ imaging will be explained both though the anatomy and clinical diagnosis. Four scenarios that the OMR can miss and make a difference in the standard differential diagnosis of the TMJ disorders.

Objectives of course:

This course will focus in temporal bone anatomy directed to the OMR radiologist. Four main scenarios that can be detected during standard TMJ imaging will be explained both though the anatomy and clinical diagnosis. Four scenarios that the OMR can miss and make a difference in the standard differential diagnosis of the TMJ disorders.

At the end of this course the participant will . . .

• Understand temporal bone anatomy related to CBCT and MDCT.
• Correlate normal bone anatomy with pathology related to the TMJ and surrounding structures.
• Imaging protocols for the temporal bone using CBCT.
• How to avoid getting into trouble missing things from TMJ imaging

Learn about Al’s impact reshaping clinical care, patient conversations, research, and reimbursement

Course description:

Artificial intelligence has arrived at the dental clinic. Dental Al can now identify anatomy and disease with incredible levels of precision and present findings with compelling visuals for patient communication and clinical education. The technology is poised to redefine how dental hygienists are trained, practices operate, insurers reimburse, and academic institutions educate their students. In this course, individuals working at the vanguard of this technology will share the current capabilities of the technology and how it is being applied across a number of clinical verticals.

Objectives of course:

1. Learn how dental artificial intelligence models are trained and developed
2. Understand the current capabilities of dental artificial intelligence (Al)
3. See how dental Al can impact patient care and daily clinical operations
4. Understand how increasing dental quantification may impact diagnosis, reimbursement, and dental research
5. Understand the impact on clinical education in the academic setting
6. Learn about how clinicians can leverage the power of Al to better improve communication with patients and enhance patient experience

More details to come

Course description:

In recent years, long-standing practices in radiological workflow have been challenged. One such change—the recommendation to discontinue gonadal shielding—challenges a traditional radiation protection practice that has come to be accepted by many, providers and patients alike, as an essential component in radiation safety during imaging. This presentation will discuss the scientific rationale for this recommendation and discuss opportunities for the oral and maxillofacial radiology specialty to educate the end users—the dental team and the patient. Another change is the evolution of artificial intelligence-based approaches to evaluate radiologic images. This presentation will discuss the potential impact of AI-based radiologic evaluation on chairside dental practice and the opportunities and challenges for the oral and maxillofacial radiology specialty to be part of this evolving field.

Objectives of course:

• Educate the OMR on trending issues in radiation protection.
• Educate the OMR on challenges and opportunities presented by evolving approaches to image assessment.

At the end of this course the participant . . .

• Discuss the scientific rationale for appropriate application of protective shielding during dentomaxillofacial radiologic imaging.
• Implement regulatory requirements for protective shielding during dentomaxillofacial radiologic imaging.
• Recognize the challenges and opportunities for oral and maxillofacial radiology in the evolving field of AI-based image assessment.