We are proud to offer multiple opportunities for residents, fellows, and allied medical students to present during the 2024 ARRS Annual Meeting, taking place May 5–9 at the Hynes Convention Center in Boston, MA.
Submissions close Tuesday, October 31 at 5 pm Eastern.
The Scientific Program is accepting submissions on emerging research to present at ARRS 2024. Only 23 Oral Presentations—representing contemporary, advanced research—will be accepted.
In-Training Members receive FREE registration for all ARRS Virtual Symposia!
Nerve imaging is becoming an essential part and parcel of diagnostic strategy and management of peripheral neuropathy patients. High-resolution ultrasound and MR neurography display the peripheral nerve pathology elegantly for their timely management and post-treatment follow-ups. MRI-based peripheral neuropathy scoring (NS-RADS) allows standardized reporting and aids in effective multi-disciplinary communications. This ARRS Virtual Symposium on Friday, October 20 assembles peripheral nerve imaging and intervention experts from various tertiary care institutions to share their knowledge in this domain. The learners will be able to apply the gained knowledge in their practices to enhance multi-disciplinary care of their patients.
- Gain insights into various methods of peripheral nerve imaging
- Learn from esteemed subspecialized radiologists from across the country
- Access session recordings for one year
Submissions close Tuesday, December 5 at 5 pm Eastern.
Submit your original cases showing common and uncommon presentations of familiar conditions for an opportunity to be shown at ARRS 2024.
- Maximum of 2 cases can be submitted per author
- 1-2 “unique” or “zebra” cases may be selected at the discretion of the reviewer.
- All submissions must represent original, previously unpublished work
Potential Use Cases for ChatGPT in Radiology Reporting
Monday, October 18
Broadcasted Live and Online 12 noon–1 pm, Eastern
Moderator: AJR Section Editor McKinley Glover, MD
Speakers: Andrew D. Smith, MD, PhD, Asser Abou Elkassem, MD
Large Language Models (LLMs) such as ChatGPT offer a promising avenue for improving radiology reporting and enhancing patient engagement, as they aid radiologists in improving reporting accuracy and efficiency, reduce omissions and cognitive load, and enable the generation of layperson reports in various languages and educational levels. However, LLMs also have weaknesses and challenges, such as biases, data privacy concerns, lack of interpretability, susceptibility to adversarial attacks, and ethical considerations. To maximize the benefits of LLMs in radiology reporting, it is important to carefully plan the integration process and to validate the output generated by the LLMs, especially for complicated tasks that require abstract reasoning or contextualization of medical information.
Join AJR authors, Andrew D. Smith, MD, PhD, and Asser Abou Elkassem, MD, for a discussion of LLMs in radiology reporting. You will gain an understanding of their potential uses, strengths, and weaknesses.
Subscribe to AJR Podcasts to hear our Resident and Fellow Podcast Editors critique articles and provide synthesized overviews of timely research for both in-training and practicing radiologists.
Moving forward, the journal is pleased to announce a new article type…
Trainee Essay
First-person narrative essay that relates a personal anecdote or experience during training in radiology and medicine, and reflects on its meaning, impact, or lessons learned.
Maximums: 1 author (must be a medical student, resident, or fellow); 600 words; 3 References; 0 Tables; 0 Figures
For ARRS In-Training Members, we are proud to offer the following Online Courses as free access resources, including:
- Basic Chest Imaging
- 3D Printing of Anatomic Models: Value Added Opportunity for Radiology
- Radiology Payment Systems: Present and Future
- Is Your Practice Ready for the Impact of Theranostics?
- Controversies in Hip and Pelvis Imaging
- Immersive and Augmented Reality in Imaging
- Male Genitourinary Imaging: From Anatomy to Oncology
- Quality Improvement: Basic Concepts and Team-Based Approaches to Facilitate Change
- Radiology Malpractice and Risk Management
- Women’s Imaging
- Mass Casualty Incidents: Introduction for Imagers
- Molecular Imaging and Therapy of Prostate Cancer
How Residents and Fellows Can Join ARRS for FREE:
- Visit the ARRS Membership page, select In-Training Members, and complete the application online.
- Fill out the ARRS In-Training Membership Application, and mail or fax it back to us.