CMIMI 2024

CMIMI: LLM approach successfully labels abnormal organs on CT reports
By Amerigo Allegretto
Privacy-preserving large language models (LLMs) can successfully label abnormal organs on CT reports.
October 25, 2024
Radiological Report 400
Video from CMIMI: Collaboration key to further advancing imaging AI
By Amerigo Allegretto
Multidisciplinary collaboration is a must for radiologists to further advance AI into clinical practice.
October 23, 2024
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CMIMI: LLMs can monitor AI software after deployment
By Erik L. Ridley
A study presented at CMIMI 2024 showcased the potential for LLMs to aid in postdeployment monitoring of AI algorithms.
October 22, 2024
Theo Dapamede, MD, PhD.
CMIMI: CT-based AI framework improves splenomegaly diagnosis
By Amerigo Allegretto
A CT imaging-based AI framework can boost opportunistic screening for splenomegaly.
October 22, 2024
Spleen2
CMIMI: ChatGPT classifies clinically significant breast pain
By Amerigo Allegretto
ChatGPT shows early promise in classifying clinically significant breast pain.
October 22, 2024
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Video from CMIMI: Advances in large language models and other AI trends
By Erik L. Ridley
We caught up with Eliot Siegel, MD, of the University of Maryland to discuss highlights so far from the Conference on Machine Intelligence in Medical Imaging (CMIMI).
October 22, 2024
2024 10 22 Eliot Siegal Interview
CMIMI: Deep learning from CT exams identifies parotid gland tumors
By Amerigo Allegretto
A unified deep-learning framework can identify and accurately describe parotid gland tumors on CT exams.
October 21, 2024
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CMIMI: Probability models could enable differential diagnosis
By Erik L. Ridley
A presentation at CMIMI 2024 described the promise of on-demand probabilistic models for facilitating radiology differential diagnosis.
October 21, 2024
Eliot Siegel, MD, (left) and Charles Kahn Jr., MD, discuss Kahn's presentation at CMIMI 2024.
Video from CMIMI: Strategies for success with radiology AI
By Erik L. Ridley
In a video interview at CMIMI 2024, Nina Kottler, MD, of Radiology Partners discusses her keynote presentation on clinical implementation of radiology AI.
October 21, 2024
2024 10 21 Nina Kottler Interview
CMIMI: ChatGPT 'reasonably' accurate for identifying chest x-ray terms
By Amerigo Allegretto
ChatGPT-4 is reasonably accurate in identifying radiological terms on chest x-ray reports.
October 21, 2024
X Ray Chest Lungs Social
CMIMI: Rules-based approach improves ChatGPT's protocoling performance
By Amerigo Allegretto
Specific instructions for ChatGPT-4 can improve the large language model’s performance in protocol prediction accuracy in radiology.
October 21, 2024
Chat Gpt Artificial Intelligence Ai Head
CMIMI: What are best practices for radiology AI deployment?
By Amerigo Allegretto
Department leaders should abide by best practices for AI's deployment in medical imaging, according to a CMIMI presentation.
October 21, 2024
Nina Kottler, MD, from Radiology Partners talks about best practices radiology departments can implement when measuring whether an AI model can add value and improve imaging interpretation in clinical practice at CMIMI 2024.
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