Resources: Page 21

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

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

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

CMIMI: ChatGPT classifies clinically significant breast pain

By Amerigo Allegretto

ChatGPT shows early promise in classifying clinically significant breast pain.

October 22, 2024

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

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

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

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

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

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

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

From Burnout to Balance: Leveraging Enterprise Imaging for Radiologist Well-being

With the ongoing shortage of radiologists and ever-increasing imaging volume, burnout has been a persistent problem facing radiology in recent years. Recent research found that more than one-third of radiologists around the world experience burnout.

October 19, 2024

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