Experts to present research on AI report drafting across CT and X-ray, and demonstrate Mosaic Reporting at Booth 5304
(NASHVILLE, Tenn.) Nov. 13, 2026 – Mosaic Clinical Technologies, Inc.™ (Mosaic) AI experts and Radiology Partners Clinical Services (RP Clinical Services) radiologists will share research and practical insights on artificial intelligence (AI) report drafting, responsible AI adoption and the future of radiology at the 2026 Radiological Society of North America (RSNA) annual meeting, held Nov. 29-Dec. 3 at McCormick Place in Chicago. Several sessions build on results Mosaic announced Nov. 11 from an internal research study of more than 237,000 CT and X-ray exams.
Imaging demand continues to outpace the supply of radiologists. Mosaic and RP Clinical Services experts will present research on VLM-powered report drafting,* in which investigational VLM models review the full exam, the prior exam and clinical context, then draft findings within the reporting app, where radiologists review, edit and sign. Studies of head CT, chest radiograph and musculoskeletal imaging will examine the value of report drafting in large, multi-site cohorts. Other sessions will cover AI governance, post-deployment monitoring and the impact of AI on the radiology workforce. In total, 17 Mosaic AI experts and RP Clinical Services physicians will take part in 20-plus presentations and discussions.
Dr. Nina Kottler, chief medical AI officer for Mosaic, will share her expertise in multiple RSNA presentations, including “Radiology Reporting in the Age of Generative AI: From Dictation to AI-Drafted Reports” and “Impact of AI on the Radiology Workforce: Current and Future Impact of AI in Private Practice Setting.” She will also serve as a panelist in the RSNA AI Fireside Chat to discuss the future of AI in medicine.
Beyond the session rooms, the Mosaic and RP Clinical Services teams will also be at booth #5304 in the South Hall AI Pavilion Sunday, Nov. 29-Wednesday, Dec. 2, 10 a.m.-5 p.m. CT. Visitors can see live demonstrations of Mosaic Reporting and hear booth talks on the research behind AI report drafting, the pressures facing radiology today and what it takes to deploy AI across a large practice.
Mosaic Booth Presentation Schedule:
Monday, November 30
Demo: Start from a Draft, Not a Blank Page
Presenter: Dr. Vik Krishnasetty
Time: 10:30 a.m. CT
237,905 Exams: What the Research Shows
Presenter: Dr. Jason Poff
Time: 12:30 p.m. CT
The State of Radiology: The Pressures, the Role of AI & the Future It Supports
Presenter: Dr. Nina Kottler
Time: 3:00 p.m. CT
Tuesday, December 1
65 Practices in Nine Months: What It Really Takes to Deploy & Scale AI
Presenter: Mel Inocencio
Time: 12:30 p.m. CT
RSNA Presentation Schedule:
Sunday, November 29
AI Evaluation Process for Today’s Solutions and What’s to Come | Deep Dive QI for AI: – Governance, Evaluation, and Post-Deployment Monitoring
Presenter: Dr. Jason Poff
Time: 10:30 a.m. CT
Session ID: S2-CIN01
Location: E450B
RSNA Research & Education (R&E) Foundation Corporate Donor Reception, by invitation only
Panelist: Dr. Rich Heller
Time: 1:30 p.m. CT
Location: Hyatt Regency McCormick Place Ballroom
Monday, November 30
Neuroradiology Monday Morning Poster Discussions | Help or Headache? Quantifying Value of Report Drafting AI Models for Head CTs in a Large, Multi-Site Cohort
E-Poster Presenter: Dr. Walter Wiggins
Time: 9 a.m. CT
Session ID: M2-SPNR
Location: Learning Center
Quantifying Radiologist Performance Dynamics in Diagnostic Radiology: Speed-Consistency Coupling and the Ramp-Up Effect
Presenter: Dr. Brandi T. Marsh-Nnadi
Time: 1:30 p.m. CT
Session ID: M6-SSNPM01
Location: S503
The AI Reality Check: Innovation + Governance = Trust
Presenter: Dr. Christina Geatrakas
Time: 2 p.m. CT
Session ID: IM8-IT108
Location: Innovation Theater
Pediatric Imaging: Image Interpretation Session
Presenter: Dr. Jesse Courtier
Time: 4:30 p.m. CT
Session ID: M8-PL03
Location: Arie Crown Theater
Tuesday, December 1
Lessons Learned from Model Deployments | From Interpretation to Implementation: Bridging the Gap Between Clinical Problems and AI Predictions (Advanced)
Presenter: Akshay Chaudhari, Ph.D.
Time: 8 a.m. CT
Session ID: T1-CIN07D
Location: E450B
Science Session with Keynote: Neuroradiology (Movement Disorders) | Evaluating the Swallow-Tail Sign on Susceptibility-Weighted Imaging (SWI) for Parkinson’s Disease Diagnosis: A Bivariate Meta-Analysis
Presenter: Dr. Atul K. Taneja
Time: 9:30 a.m. CT
Session ID: T3-SSNR07
Location: S404
Automatic Radiology Report Generation with Generative AI – Redefining the Radiologist’ Workflow | Radiology Reporting in the Age of Generative AI: From Dictation to AI-Drafted Reports
Presenter: Dr. Nina Kottler
Time: 9:30 a.m. CT
Session ID: T3-CIN08
Location: E450B
Chest Imaging (Physics/Dose Reduction/New CT Techniques/Radiography CAD): Quantifying Value of Report Drafting AI Models for Chest Radiographs in a Large Multi-Site Cohort
Presenter: Dr. Sriyesh Krishnan
Time: 1:30 p.m. CT
Session ID: T6-SSCH05
Location: E451A
Leveraging AI for High Value Imaging: How Can AI Improve Patient Outcomes
Presenter: Dr. Jason Poff
Time: 1:30 p.m. CT
Session ID: T6-CIN09
Location: E450B
RSNA Deep Learning Lab: Vibe Coding 101: Building Radiology Applications Without Programming Experience | From Idea to Prototype: Building Simple Radiology Applications with Vibe Coding
Presenter: Dr. Walter Wiggins
Time: 1:30 p.m. CT
Session ID: T6-CIN23
Location: S401AB (Registration Fee Required)
Multimodality Imaging of Skeletal Muscle: From Edema to Etiology | MRI of Muscle Injury and Overuse
Presenter: Dr. Atul K. Taneja
Time: 1:30 p.m. CT
Session ID: T6-CMK16
Location: E450A
Making AI Models and Datasets More Transparent: RSNA’s ATLAS Hub | Charting New Territory with ROADMAP
Presenter: Dr. Tara Retson
Time: 1:30 p.m. CT
Session ID: T6-RCP30
Location: E352
Impact of AI on the Radiology Workforce: Current and Future Impact of AI in Private Practice Setting
Presenter: Dr. Nina Kottler
Time: 4:30 p.m. CT
Session ID: T8-CIN10
Location: E450B
Wednesday, December 2
Musculoskeletal Imaging (Clinical Applied Artificial Intelligence): Quantifying Value of Report Drafting AI Models for MSK Radiographs in a Large, Multi-Site Cohort
Presenter: Dr. Santhosh P. Joseph
Time: 3 p.m. CT
Session ID: W7-SSMK08
Location: E450A
Panel Fireside Chat: Hot Topics in AI & Future Directions
Panelist: Dr. Nina Kottler
Time: 4 p.m. CT
Session ID: N/A
Location: AI Theater
From Dictation to Drafts: LLMs in Radiology Reporting | What Worked, What Broke, What’s Next | One Year Later: Did Foundation Model Report Drafting Actually Help?
Presenter: Louis Blankemeier, Ph.D.
Time: 4:30 p.m. CT
Session ID: W8-CIN13
Location: E450B
Using Process Improvement Tools to Improve Resident Call Workflow – What You can Prepare Before Call (Sponsored by the RSNA Quality Improvement Committee)
Presenter: Dr. Shawn Lyo
Time: 3 p.m. CT
Session ID: ME21
Location: Residents Lounge
Thursday, December 3
Interventional Radiology Thursday Afternoon Poster Discussions I | Ultrasound Guided Cryoablation in Treatment of Early Stage Breast Cancer
E-Poster Presenter: Dr. Sameer Rehman
Time: 12:15 p.m. CT
Session ID: R5A-SPIR
Location: Learning Center
Presenters are available for interviews before and during RSNA. To schedule, contact Sheila Biggs at sbiggs@jarrardinc.com.
For the latest news and information from RP, join the conversation on LinkedIn, X, Instagram and YouTube. For the latest from Mosaic, connect with us on LinkedIn and YouTube.
*CAUTION: Investigational device. Not for sale in the United States.
About Radiology Partners, Inc.
Radiology Partners, Inc., through RP Clinical Services and its managed practices, together with Mosaic Clinical Technologies, Inc., provides radiology services and advanced technology to more than 3,400 hospitals and other healthcare facilities. Its network includes more than 4,000 radiologists who interpret more than 55 million imaging studies each year. Learn more at radpartners.com and connect with us on LinkedIn, X, Instagram and YouTube.
About Mosaic Clinical Technologies, Inc.
Mosaic Clinical Technologies, Inc., a wholly owned subsidiary of Radiology Partners, Inc., develops advanced technology and proprietary vision-language AI models for medical imaging, built in-house in collaboration with radiologists in the Radiology Partners Clinical Services practice. Its MosaicOS platform brings diagnostic tools, cutting-edge AI and radiology workflows together in a cloud-native operating system designed to support radiologists and the healthcare organizations they serve. Learn more at MosaicClinical.ai and connect with us on LinkedIn and YouTube.
Media Contact
Sheila Biggs
sbiggs@jarrardinc.com
