Highlights from the SIIM annual meeting focus on AI in radiology, advanced imaging trends, and innovations in report quality.
Key Details
- 1SIIM annual meeting featured major discussions on AI, informatics, and future radiology trends.
- 2LLMs are being researched for boosting error detection in x-ray reports.
- 3Debates included whether foundation models will shape the future of radiology AI.
- 4Presentations explored AI's impact on radiology workload and sustainability.
- 5Studies showcased advances like CT identifying increased malignancy risk and FAPI-SPECT/CT in GI cancer diagnosis.
Why It Matters
This round-up covers leading developments in radiology AI, revealing how advanced informatics and automation like LLMs are poised to influence diagnostic accuracy, workflow, and patient care. For radiology professionals, understanding these trends is crucial for navigating upcoming changes in AI, regulation, and practice management.
Source
AuntMinnie
Related News
•AuntMinnie
GE HealthCare Acquires icometrix to Bolster MRI Neurology AI
GE HealthCare is acquiring icometrix to expand its AI-powered MRI neuroimaging capabilities and integrate advanced analytics into its global product ecosystem.
•AuntMinnie
General LLMs Show Promise in Detecting Critical Findings in Radiology Reports
Stanford and Mayo Clinic Arizona researchers demonstrated that LLMs like GPT-4 can categorize critical findings in radiology reports using few-shot prompting.
•Radiology Business
Stanford Pilots AI Tool for Explaining Imaging Results to Providers
Stanford Health Care reports primary care providers find value in AI tools generating imaging result explanations.