Welcome to the first installment of this year’s Road to RSNA preview of the RSNA 2024 meeting. We’re once again providing a modality-by-modality overview of select scientific presentations to serve as your guide to events at McCormick Place.
Fittingly, our journey along the Road to RSNA begins with AI, a topic that has taken center stage at the annual meeting for the past eight years. In an important and positive development, the scientific presentations are featuring a growing number of studies analyzing the performance of AI in clinical practice.
Of course, there is also a flurry of research activity involving large language models, as investigators seek to tap into the potential of generative AI to give radiologists a much-needed helping hand in today's hectic practice environment. In other trends, the use of AI for opportunistic screening -- often with body composition analysis -- continues to gain a foothold, potentially enabling earlier detection and intervention for a variety of conditions.
AI also continues to demonstrate growing utility in breast imaging, and we’ll provide coverage of key sessions in our upcoming Women’s Imaging section of the Road to RSNA.
See below for previews of AI-related scientific talks we’re highlighting at this year's RSNA meeting. These are just a sample of the content on offer, however. Many other scientific presentations, scientific posters, educational courses and exhibits, and plenary sessions on AI topics also await attendees. For more information on those presentations and other abstracts, check out the RSNA 2024 meeting program.
The RSNA’s AI Showcase will return to the South Hall as a dedicated venue for AI firms and a variety of AI presentations at the AI Theater. In addition, an in-person demonstration called Radiology Reimagined: AI, innovation, and interoperability in practice is designed to showcase new technologies and communications standards needed to integrate AI into the diagnostic workflow, according to the RSNA.
What's more, the RSNA will also be hosting a Challenge Recognition Event on December 2 from 4 p.m. to 5 p.m. CST to recognize the winners of the 2024 RSNA Lumbar Spine Degenerative Classification AI Challenge. Deep-learning labs are also available for an added fee.
Algorithms analyze multipathway bone and muscle loss in COPD
Sunday, December 1 | 9:10 a.m.-9:20 a.m. | S1-SSCH01-2 | E451A
Computing thoracic bone and muscle metrics in patients with chronic obstructive pulmonary disease (COPD) improves understanding of the role of certain comorbidities in COPD disease progression, according to findings to be announced in this scientific presentation.
Is AI ready to replace human readings in TB detection?
Sunday, December 1 | 9:50 a.m.-10:00 a.m. | S1-SSCH01-5 | E451A
This scientific paper may increase overall confidence in the potential of using multimodal AI for tuberculosis (TB) detection, and potentially autonomous reporting, on chest radiographs in certain clinical settings.
First PANORAMA findings support AI-based opportunistic screening
Sunday, December 1 | 10:40 a.m.-10:50 a.m. | S2-SSGI01-2 | E451B
Transparently benchmarked, expert AI can enable opportunistic screening to start catching pancreatic ductal adenocarcinoma (PDAC) on contrast-enhanced computed tomography (CECT) at earlier stages, according to first results of the PANORAMA (Pancreatic cancer diagnosis: Radiologists meet AI) study.
French researchers test PE triage tool with surveillance CTs
Sunday, December 1 | 10:50 a.m.-11:00 a.m. | S2-SSRO01-3 | E451B
In this scientific presentation, researchers will describe AI's capability to spot an incidental pulmonary embolism on surveillance CT scans of cancer patients.
Researchers tune 2023 AI challenge model for high-grade splenic injuries
Sunday, December 1 | 2:30 p.m.-2:40 p.m. | S5-SSGI04-1 | E451B
Emergency radiologists may be interested in learning about a machine-learning algorithm developed to focus specifically on detecting life-threatening splenic injuries.
AI can perform coronary artery disease risk stratification
Sunday, December 1 | 3:20 p.m.-3:30 p.m. | S5-SSCA02-5 | E353C
In this Trainee Research Prize-winning presentation, researchers will review an AI model for coronary artery disease (CAD) risk stratification on CT myocardial perfusion imaging (MPI) and coronary computed tomography angiography (CCTA).
Radiomics model predicts future symptomatic carotid plaque
Monday, December 2 | 10:20 a.m.-10:30 a.m. | M3-SSNR04-6 | S406B
A deep learning-based radiomics model based on dual-energy computed tomography (DECT) may effectively predict symptomatic carotid plaque in asymptomatic conditions, according to findings to be presented in this neuroradiology scientific session.
Fracture detection AI model performs well in real-world setting
Monday, December 2 | 1:30 p.m.-1:40 p.m. | M6-SSMK03-1 | E450A
If you're interested in hearing about the real-world performance of a fracture detection AI algorithm, you won't want to miss this update from a project at four hospitals in Norway.
'One-stop' knee OA classification system predicts future risk
Monday, December 2 | 1:50 p.m.-2:00 p.m. | M6-SSMK03-3 | E450A
In this scientific presentation, researchers will share how their radiomics algorithm can predict both the onset and progression of knee osteoarthritis (OA).
U.K. LungIMPACT leaders to report on study progress
Tuesday, December 3 | 8:00 a.m.-8:10 a.m. | T1-SSCH05-1 | E451A
In this presentation, researchers from the U.K. will discuss the impact of AI triage on chest x-rays for the purpose of accelerating lung cancer diagnosis.
Multihospital pilot demonstrates benefits of AI lung nodule detection
Tuesday, December 3 | 8:30 a.m.-8:40 a.m. | T1-SSCH05-4 | E451A
For this session, researchers will highlight a significant reduction in radiologists' reading time from the use of AI software for lung nodule detection on CT exams.
Chest x-ray AI performs well in postmarketing surveillance study
Tuesday, December 3 | 1:30 p.m.-1:40 p.m. | T6-SSCH06-1 | 451A
In this session, an international postmarketing surveillance study will be presented that evaluated a commercial chest x-ray AI algorithm's performance in real-world clinical practice.
Study validates commercial AI for autonomous chest x-ray reporting
Tuesday, December 3 | 1:40 p.m.-1:50 p.m. | T6-SSCH06-2 | E451A
Research conducted in the U.K. will be presented in this session that evaluated the performance of an AI algorithm designed to autonomously report high-confidence normal chest x-ray studies.
Harvard researchers bring data on one-click CT body composition AI tool
Wednesday, December 4 | 8:20 a.m.-8:30 a.m. | W1-SSNPM03-3 | S402
For this scientific session, Harvard researchers applied an AI-based body composition algorithm to 1,277 emergency abdominal CT exams from people in their 30s for the purpose of predicting major adverse cardiovascular events (MACE) and dyslipidemia.
Large study finds benefit for AI in acute pulmonary embolism
Wednesday, December 4 | 9:40 a.m.-9:50 a.m. | W3-SSIN06-02 | Room E450B
AI can assist radiologists in detecting acute cases of pulmonary embolism (PE), according to the results of a large, prospective study.
3D body composition analysis of whole-body MRI can predict mortality
Wednesday, December 4 | 10:06 a.m.-10:18 a.m. | W3-SSIN05-04 | Room E351
3D body composition analysis on whole-body MRI exams can be prognostic for mortality risk in the general population, according to this scientific presentation.
DL model analyzes multisequence MRI to identify endometriosis
Wednesday, December 4 | 1:40 p.m.-1:50 p.m. | W6-SSOB03-2 | S402
This scientific study is said to be the first deep-learning (DL) model to use multisequence MRI on a large cohort for identifying endometriosis.
Multimodal AI predicts prostate cancer treatment outcome
Thursday, December 5 | 8:20 a.m.-8:30 a.m. | R1-SSR04-4 | Room S401
A computer-vision-based AI model that also incorporates assessment of clinical variables can predict treatment outcomes in prostate cancer patients, according to this presentation.
AI helps spot unsuspected vertebral fractures in cancer patients
Thursday, December 5 | 9:30 a.m.-9:40 a.m. | R3-SSMK11-1 | Room E450A
In this study, researchers from France found that an AI algorithm could find incidental vertebral fractures in cancer patients that weren’t initially detected.
Body composition analysis foretells survival in esophageal cancer patients
Thursday, December 5 | 11:40 a.m.-11:50 a.m. | R4-SSCH10-6 | Room E451A
Automated 3D body composition CT analysis software can predict shorter survival in patients with esophageal cancer, according to this scientific presentation.
AI is making teleradiology better and faster
Thursday, December 5 | 1:40 p.m.-1:50 p.m. | R3-SSNR16-2 | Room S406B
AI is improving the quality and speed of radiological reporting for a teleradiology network in Germany and Austria, according to this scientific paper.
