Symposium on Practical AI in Radiation Oncology: A Primer for Clinicians and Researchers

Friday, July 15, 2022, 7:30 AM - 5:30 PM, Nicola Regine Conference Room, Baltimore, MD

The University of Maryland Symposium on Practical AI in Radiation Oncology is a one-day CME accredited and SA-CME course. The first half of the course will include technical talks, and the second half will include clinical lectures conducted by a combination of nationally recognized invited faculty and our own top-ranked faculty in the University of Maryland Department of Radiation Oncology. Live attendance is required to obtain CME and SA-CME credit. Following the course, attendees will receive access to the video recorded presentations and slides (non-enduring) for one year. Breakfast, lunch, breaks, and dinner will be provided on-site during the course.

AI (Artificial Intelligence), especially deep learning, has advanced rapidly in recent years and been commercialized for various applications in radiation therapy. Despite the significant advances and promises of AI, effective implementation and translation of AI to achieve optimal clinical practice remains a challenge in many clinics and hospitals. This is largely due to a lack of understanding of the AI techniques and lack of experience in implementing and optimizing the rapidly advancing and rising technologies. Overcoming this barrier is challenging as most clinical physicists and physicians don’t have the proper training in AI. Since AI, especially deep learning, is a very new area that is just beginning to gain traction in the past five years, no AI training has been officially developed and integrated into residency training by clinicians. On the other hand, the rapid development of AI technologies leads to a large amount of evolving resources, making it difficult for clinicians to follow and learn effectively. This symposium addresses the urgent need for AI training for clinicians, and is specifically tailored towards medical physicists and physicians in the field of radiation oncology. For more information click here  To download the agenda, click here.

Objectives
1. Describe the basic concepts of AI models and their strength and weakness for radiation oncology applications.
2. Determine the optimal strategies to implement AI technologies, methods to assess their clinical impact, and safe guards to minimize their risk.
3. Discuss the recent advances and future roadmap of AI in radiation oncology.

Target Audience
Radiation Oncologists, Medical Physics Residents, Medical Residents, Medical Physicists, Fellows, and Researchers.

Registration

UNIVERISTY OF MD Department of Radiation Oncology IN-PERSON Employees ONLY (includes CME credit) $20.00
UNIVERISTY OF MD Department of Radiation Oncology VIRTUAL Employees ONLY (includes CME credit) $20.00
GENERAL In-Person Registration (includes CME credit) $400.00
GENERAL Virtual Registration (includes CME credit) $200.00

Registration is free for University of Maryland Department of Radiation Oncology employees who are not seeking CME credit. Employees should contact Jessica White at [email protected] to register for this option.

The registration fee is payable by Visa and MasterCard.

Course Refund & Cancellation Policy
Once your registration is submitted, you will have 7 days to submit a request for a full refund through June 10, 2022, and 24 hours to submit a request for a full refund after June 10. After that time, no full refund will be provided for any reason; however, the registrant will have access to all course content, including videos of the lectures. Live attendance is required for CME and SA-CME credit. Videos of the lectures will be available online only.

We anticipate that the COVID-19 pandemic and institutional regulations will continue to remain fluid. Any attendee who wishes to switch from in-person to virtual registration on or before the cutoff date of June 10, 2022 may receive a partial refund amount (less fees) which will be determined by the course directors and course coordinators. After the date of June 10, 2022, any attendee may opt to switch from in-person to virtual registration, however they will not receive any partial refund and will be charged the full $400.00 rate.

Should the department be unable to hold the event in-person due to local or institutional regulations or other safety concerns, all registered in-person attendees will receive the option of either a partial refund with virtual registration access, or a full refund

 

 

The University of Maryland School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

The University of Maryland School of Medicine designates this Live activity for a maximum of 6.50 AMA PRA Category 1 Credits ^TM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.

AMA PRA Category 1 Credits™ (6.50 hours), Non-Physician Attendance (6.50 hours)

Mitigation of Relevant Financial Relationships

University of Maryland School of Medicine adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity, including faculty, planners, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity.

No faculty are available for this activity at this time.