Radiology February 2025 PMID 39998373

AI Applications for Thoracic Imaging: Considerations for Best Practice.

Eui Jin Hwang, Jin Mo Goo, Chang Min Park

Mentions

12
Peak: 3 in Feb 2025
across 4 sources since Feb 2025

Extended reach

78,223
potential audience

Total likes

100

Video views

2,133

Mentions per month

Feb 2025 – Apr 2025

Where it's discussed

  • X / Twitter6 posts
  • YouTube2 videos
  • News2 articles
  • Blogs2 articles

AI synopsis

What people are saying

The discussions emphasize the transformative potential of AI, with phrases like 'must-read', 'growing evidence of effectiveness', and 'expanding role' highlighting enthusiasm and perceived significance. References to practical tools and clinical challenges show active engagement and recognition of AI's impact on medical imaging.

AgreementStrong agreement

All posts highly acknowledge the importance and benefits of integrating AI into thoracic imaging, expressing strong support.

InterestHigh interest

The discussion reflects a keen interest in AI's expanding role, with mentions of clinical implementation and technological advancements.

EngagementModerate engagement

Posts demonstrate moderate engagement by referencing specific AI applications, challenges, and the significance of the publication.

ImpactHigh impact

The overall tone suggests that the discussed publication is seen as highly influential in shaping future radiology practices.

Abstract in brief

  • AI is being integrated into thoracic radiology, showing effectiveness in tasks like reading chest X-rays and CT scans for lung cancer and pulmonary embolism.
  • Implementing AI requires careful planning, including performance evaluations, IT integration, and ongoing monitoring, while also addressing challenges like training, liability, and equitable access to technology.
  • Advancements in AI, like large language models, could transform radiology by generating reports and interpreting results, but further research is needed to ensure their effectiveness and practical use.

Top posts

Most liked on X and Bluesky
@RadiologyEditor
@RadiologyEditor · X

This review by @EuiJin_H et al explores the expanding role of artificial intelligence in thoracic imaging, covering its clinical implementation, challenges and opportunities. A must-read for those integrating AI into daily practice! #AI #Radiology @SNU_Rad https://t.co/DcBVpdeyrj https://t.co/XWH5TMzzfA

Feb 28, 2025 · 8 likes · 1 share · 6,158 followers View post →
Marcelo Sanchez
@Marcelo97843311 · X

AI Applications for Thoracic Imaging: Considerations for Best Practice | Radiology https://t.co/jk6So7EvEn

Apr 6, 2025 · 5 likes · 839 followers View post →
Radiology
@radiology_rsna · X

AI-based computer-aided detection tools used for chest radiography and low-dose chest CT as well as triage for pulmonary embolism at chest CT are rapidly infiltrating thoracic radiology practice with growing evidence of effectiveness. @SNU_Rad @EuiJin_H https://t.co/ZsUd1K7NwU https://t.co/VNtFv5xjEc

Feb 26, 2025 · 4 likes · 2 shares · 60,069 followers View post →
Salvador Pedraza
@salvasapedraza · X

AI Applications for Thoracic Imaging: Considerations for Best Practice | Radiology https://t.co/Ogs0ep4VY6 https://t.co/6mnRucCvpa

Mar 1, 2025 · 6,512 followers View post →
Guillermo Elizondo Riojas
@elizondomemo · X

RT @RadiologyEditor: This review by @EuiJin_H et al explores the expanding role of artificial intelligence in thoracic imaging, covering it…

Mar 1, 2025 · 1 share · 2,443 followers View post →
BestAIForTheJob
@BestAIForTheJob · X

AI Applications for Thoracic Imaging: Considerations for Best Practice - RSNA Journals https://t.co/OAAedb0ikw #AITools #AINews

Feb 25, 2025 · 61 followers View post →

All mentions

Marcelo Sanchez
@Marcelo97843311 · X

AI Applications for Thoracic Imaging: Considerations for Best Practice | Radiology https://t.co/jk6So7EvEn

Apr 6, 2025 · 5 likes · 839 followers View post →
Guillermo Elizondo Riojas
@elizondomemo · X

RT @RadiologyEditor: This review by @EuiJin_H et al explores the expanding role of artificial intelligence in thoracic imaging, covering it…

Mar 1, 2025 · 1 share · 2,443 followers View post →
Salvador Pedraza
@salvasapedraza · X

AI Applications for Thoracic Imaging: Considerations for Best Practice | Radiology https://t.co/Ogs0ep4VY6 https://t.co/6mnRucCvpa

Mar 1, 2025 · 6,512 followers View post →
@RadiologyEditor
@RadiologyEditor · X

This review by @EuiJin_H et al explores the expanding role of artificial intelligence in thoracic imaging, covering its clinical implementation, challenges and opportunities. A must-read for those integrating AI into daily practice! #AI #Radiology @SNU_Rad https://t.co/DcBVpdeyrj https://t.co/XWH5TMzzfA

Feb 28, 2025 · 8 likes · 1 share · 6,158 followers View post →
Radiology
@radiology_rsna · X

AI-based computer-aided detection tools used for chest radiography and low-dose chest CT as well as triage for pulmonary embolism at chest CT are rapidly infiltrating thoracic radiology practice with growing evidence of effectiveness. @SNU_Rad @EuiJin_H https://t.co/ZsUd1K7NwU https://t.co/VNtFv5xjEc

Feb 26, 2025 · 4 likes · 2 shares · 60,069 followers View post →
BestAIForTheJob
@BestAIForTheJob · X

AI Applications for Thoracic Imaging: Considerations for Best Practice - RSNA Journals https://t.co/OAAedb0ikw #AITools #AINews

Feb 25, 2025 · 61 followers View post →