To facilitate healthy discussions and lasting change towards improving diversity in STEM (Science, Technology, Engineering, and Mathematics/Medicine) fields, we welcome you to join our conference, 2022 Diversity in Radiology and Molecular Imaging: Artificial Intelligence in Cancer, that will be held on June 20th, 2022. This conference will provide keynote lectures, scientific presentations, and educational lectures from leaders and pioneers in the field, who will discuss important topics related to recognizing biases and promoting inclusive approaches towards artificial intelligence in cancer molecular imaging.

The conference themes include (1) Racial Diversity, (2) Women in STEM and (3) Global Health, and promoting inclusive approaches towards artificial intelligence research in cancer molecular imaging.

Learners have the option to attend in-person on Stanford Campus (at the Assembly Hall, on the roof top of Stanford Hospital) or to attend live virtually via Zoom. This conference will include workshops and networking opportunities for both in-person and virtual learners.

Registration
Registration for all practitioners - free
To register for this activity, please click HERE. 

Credits
AMA PRA Category 1 Credits™ (6.00 hours), Non-Physician Participation Credit (6.00 hours)

Target Audience

• Specialties - Diagnostic Radiology, Interventional Radiology and Diagnostic Radiology, Medical Physics, Radiation Oncology, Radiology, Therapeutic Medical Physics
• Professions - Fellow/Resident, Medical Student, Non-Physician, Physician

Objectives
At the conclusion of this activity, learners should be able to:

• Utilize a fundamental framework of empathy and understanding
• Demonstrate an increased awareness and understanding of cultures and thought processes that are different from one’s own
• Discuss systemic inequalities and approaches to mitigate systemic inequalities with the use of artificial intelligence (AI) research
• Develop strategies to advocate for inclusive communities with a focus on AI and cancer imaging
• Identify opportunities for collaborations between DEI, AI and cancer imaging communities
• Apply strategies to support and sponsor team members from minority backgrounds in the area of on AI and cancer imaging

Accreditation
In support of improving patient care, this activity has been planned and implemented by Stanford Medicine, World Molecular Imaging Society and Society of Nuclear Medicine and Molecular Imaging. Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 
 
Credit Designation 
American Medical Association (AMA) 
Stanford Medicine designates this Live Activity for a maximum of 6.00 AMA PRA Category 1 Credits^TM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

In support of improving patient care, this activity has been planned and implemented by Stanford Medicine, World Molecular Imaging Society and Society of Nuclear Medicine and Molecular Imaging. Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 
 
Credit Designation 
American Medical Association (AMA) 
Stanford Medicine designates this Live Activity for a maximum of 6.00 AMA PRA Category 1 Credits^TM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.