AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a second set of ‘eyes’ as report not available great justification for radiographer preliminary image evaluation https://t.co/o2XNUXgvjs https://t.co/7WDBa3Bsvy
Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study.
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May 2021 – Jul 2023Where it's discussed
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News56 articles
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What people are saying
Several discussions praise the article, with comments like 'Impressive work' and specific mentions of the sensitivity (8.7%) and specificity (4.1%) improvements, reflecting both high interest and engagement. The tone and choice of words, such as 'fascinating' and 'game changer,' convey excitement about the potential impact on emergency medicine and radiology practices.
Most discussions show enthusiasm and support for the study’s findings, emphasizing the benefits of AI in fracture detection.
Posts express high interest, often highlighting specific statistical improvements and potential clinical applications.
Participants reference detailed results, such as sensitivity and specificity gains, indicating a moderate level of in-depth discussion.
Discussions suggest this research could influence clinical practices and future AI developments in radiology.
Top posts
Most liked on X and BlueskyAssessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study | Radiology https://t.co/3H2NnZLCbE @SSRbone @ssr_rwg @ESSRmsk @intskeletal @MskSerme https://t.co/RxEEytboDl
Artificial intelligence improved sensitivity and specificity of radiologists and emergency doctors in the radiographic detection of appendicular fractures without substantially decreasing interpretation speed. https://t.co/y4d4sehbno @FondARothschild @UP_Medecine https://t.co/wAvYgR9dN1
#RadInTraining #InAMinute: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study Read more @radiology_rsna: https://t.co/LSoc3QSQN5 https://t.co/eAe91n6KxH #MSKrad
Multicentric clinical evaluation of BoneView now published in #radiology #rsna
#RADIOLOGY new: #AI trained on 60,170 skeletal radiographs, tested on 600 xray exams by 6 rads and 6 ED physicians: 9% greater sensitivity, 4% better specificity for fracture. Seems helpful. https://t.co/RiY3C598ht https://t.co/rlYoqozajb
All mentions
AI-Assisted Detection of Fractures in Radiology
This video discusses the role of artificial intelligence in detecting adult appendicular skeletal fractures. Featuring insights from a multicenter study, it explores the effectiveness of AI algorithms compared to human…
AI Assistance in Detecting Skeletal Fractures in Emergency Medicine
This video explores the role of AI in detecting appendicular skeletal fractures by emergency physicians and radiologists. Radiology In a Minute summarizes current research, offering insights into the effectiveness of AI…
Studies confirm the potential of #AI in fracture detection. Faster and more accurate diagnoses are within reach. Our software is leading the charge. Explore more
➡ Read our publication here: https://t.co/y0wZqcVvED
RT @curtlanglotz: "The AI aid improved sensitivity by 8.7%, specificity by 4.1%, reduced false-positive fractures per patient by 41.9%, and…
RT @curtlanglotz: "The AI aid improved sensitivity by 8.7%, specificity by 4.1%, reduced false-positive fractures per patient by 41.9%, and…
RT @curtlanglotz: "The AI aid improved sensitivity by 8.7%, specificity by 4.1%, reduced false-positive fractures per patient by 41.9%, and…
RT @curtlanglotz: "The AI aid improved sensitivity by 8.7%, specificity by 4.1%, reduced false-positive fractures per patient by 41.9%, and…
RT @FondARothschild: Pour en savoir plus : https://t.co/CIgBdYWbh4 #Recherche #ArtificialIntelligence #medecine #radiologie #radiology
Pour en savoir plus : https://t.co/CIgBdYWbh4 #Recherche #ArtificialIntelligence #medecine #radiologie #radiology
Medical AI always amazes me. Love this YouTube channel, where they test latest AI/ML methods and their accuracy for spotting fractures. https://t.co/gIUXbyGlcc #AI #ArtificialIntelligence #medical #radiology https://t.co/W7OMYhq4ZW
RT @agtenc: We reviewed
RT @agtenc: We reviewed
RT @agtenc: We reviewed
RT @agtenc: We reviewed
We reviewed
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
The #AI aid provided a gain of sensitivity (8.7% increase) and specificity (4.1% increase) without loss of reading speed. Use case: fracture detection on conventional radiographs. https://t.co/3p56JXw1Fg
RT @JanFritzMSK: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A…
RT @JanFritzMSK: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A…
RT @JanFritzMSK: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A…
RT @JanFritzMSK: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A…
Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study | Radiology https://t.co/3H2NnZLCbE @SSRbone @ssr_rwg @ESSRmsk @intskeletal @MskSerme https://t.co/RxEEytboDl
RT @gleamer_ai: Multicentric clinical evaluation of BoneView now published in #radiology #rsna
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
RT @murf1990: AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a secon…
AI fracture detection in the ED. The AI stuff if obviously fascinating. The fact authors are identifying a benefit in a second set of ‘eyes’ as report not available great justification for radiographer preliminary image evaluation https://t.co/o2XNUXgvjs https://t.co/7WDBa3Bsvy
RT @DrTeresaMC: #RadInTraining #InAMinute: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physi…
RT @DrTeresaMC: #RadInTraining #InAMinute: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physi…
RT @DrTeresaMC: #RadInTraining #InAMinute: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physi…
Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study https://t.co/RPiVJElJFq
RT @DrTeresaMC: #RadInTraining #InAMinute: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physi…
RT @DrTeresaMC: #RadInTraining #InAMinute: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physi…
RT @DrTeresaMC: #RadInTraining #InAMinute: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physi…
#RadInTraining #InAMinute: Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study Read more @radiology_rsna: https://t.co/LSoc3QSQN5 https://t.co/eAe91n6KxH #MSKrad
RT @radiology_rsna: Artificial intelligence improved sensitivity and specificity of radiologists and emergency doctors in the radiographic…
Artificial intelligence improved sensitivity and specificity of radiologists and emergency doctors in the radiographic detection of appendicular fractures without substantially decreasing interpretation speed. https://t.co/y4d4sehbno @FondARothschild @UP_Medecine https://t.co/wAvYgR9dN1
Multicentric clinical evaluation of BoneView now published in #radiology #rsna
RT @draash: One of the best #AI studies I have read! Impressive work Assessment of an AI Aid in Detection of Adult Appendicular Skeletal F…
RT @RadiologyEditor: #RADIOLOGY new: #AI trained on 60,170 skeletal radiographs, tested on 600 xray exams by 6 rads and 6 ED physicians:…
One of the best #AI studies I have read! Impressive work Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study | Radiology https://t.co/EzGtE0IE4l @radiology_rsna https://t.co/GazVBGf8U4
RT @RadiologyEditor: #RADIOLOGY new: #AI trained on 60,170 skeletal radiographs, tested on 600 xray exams by 6 rads and 6 ED physicians:…
#RADIOLOGY new: #AI trained on 60,170 skeletal radiographs, tested on 600 xray exams by 6 rads and 6 ED physicians: 9% greater sensitivity, 4% better specificity for fracture. Seems helpful. https://t.co/RiY3C598ht https://t.co/rlYoqozajb