Synopsis of Social media discussions
Participants show strong agreement with the article’s conclusion that AI can match human performance, with comments like ‘AI comparable to humans’ and ‘may provide a model for testing AI in practice.’ The tone suggests high interest and moderate engagement, focusing on the implications for future screening, though some concerns are raised about patient communication and ethical considerations.
Agreement
Moderate agreementMost discussions acknowledge the study's findings that AI performs comparably to human radiologists, showing general agreement on its validity.
Interest
High level of interestPosts display high interest by emphasizing the importance of the research and potential applications in clinical practice.
Engagement
Moderate level of engagementSeveral comments delve into specific performance metrics, such as specificity and AI's potential, indicating active engagement.
Impact
Moderate level of impactThe discussions highlight the significance of the study for future breast cancer screening, emphasizing its potential to influence clinical protocols.
Social Mentions
YouTube
2 Videos
2 Posts
13 Posts
Blogs
4 Articles
News
93 Articles
Metrics
Video Views
408
Total Likes
37
Extended Reach
78,102
Social Features
114
Timeline: Posts about article
Top Social Media Posts
Jonathan James
Performance of #AI comparable to humans when reading test sets from a quality assurance scheme #PERFORMS used to assess readers in the UK breast screening programme. May provide a model for the testing of #AI deployed in clinical practice
@radiology_rsna
https://t.co/9WddLnpb7i
view full post
Radiology
Normally used to assess the performance of human readers, the Personal Performance in Mammographic Screening (PERFORMS) scheme was used to evaluate the performance of an AI detection algorithm in this study by Chen et al. https://t.co/SVH2ORBZou https://t.co/NEitXLJItU
view full post
arjunnair
Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme | Radiology
Amazing hugely important work from @DrYanChen7 and colleagues
view full post
Salvador Pedraza
Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme | Radiology https://t.co/3EZ1jhrgoa https://t.co/NacJXLeZkz
view full post
Salvador Pedraza
Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme | Radiology https://t.co/3EZ1jhrgoa https://t.co/y8MMKS5fZl
view full post
Posts referencing the article
AI Algorithm Shows Promise in Breast Cancer Detection Efficiency
Researchers trained an AI to analyze mammograms, achieving accuracy comparable to human readers. The AI shows potential to assist in breast cancer screening when human double reading isn't available.
September 8, 2023
327 views
AI Performance in Breast Cancer Detection in Mammography
Dr Reni Butler interviews Dr Yan Chen about the diagnostic performance of a commercial AI algorithm in breast cancer detection using mammographic screening. The study compares AI and human reader accuracy, showing AI performs comparably with potential to assist in screening.
April 4, 2024
81 views
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A mi me sigue preocupando no el uso de la AI y su veracidad en la detección del cáncer de mama sino la comunicación de una información tan sensible al paciente sin un circuito bien establecido con humanidad y cercanía al paciente. #radiologiademama https://t.co/0oNUIuy7iy
view full postJanuary 8, 2024
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Salvador Pedraza
@salvasapedraza (Twitter)Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme | Radiology https://t.co/3EZ1jhrgoa https://t.co/NacJXLeZkz
view full postOctober 2, 2023
1
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Salvador Pedraza
@salvasapedraza (Twitter)Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme | Radiology https://t.co/3EZ1jhrgoa https://t.co/y8MMKS5fZl
view full postSeptember 9, 2023
1
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Radiology
@radiology_rsna (Twitter)Normally used to assess the performance of human readers, the Personal Performance in Mammographic Screening (PERFORMS) scheme was used to evaluate the performance of an AI detection algorithm in this study by Chen et al. https://t.co/SVH2ORBZou https://t.co/NEitXLJItU
view full postSeptember 8, 2023
9
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Muhammad Kamal
@MuhammadKSalem1 (Twitter)RT @drjonjames: Performance of #AI comparable to humans when reading test sets from a quality assurance scheme #PERFORMS used to assess rea…
view full postSeptember 6, 2023
4
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Jonathan James
@drjonjames (Twitter)RT @lungradiologist: Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme…
view full postSeptember 6, 2023
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Yan
@DrYanChen7 (Twitter)RT @lungradiologist: Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme…
view full postSeptember 6, 2023
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Yan
@DrYanChen7 (Twitter)RT @drjonjames: Performance of #AI comparable to humans when reading test sets from a quality assurance scheme #PERFORMS used to assess rea…
view full postSeptember 6, 2023
4
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arjunnair
@lungradiologist (Twitter)Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme | Radiology Amazing hugely important work from @DrYanChen7 and colleagues
view full postSeptember 6, 2023
5
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Amrita Kumar
@DrAmritaKumar (Twitter)RT @drjonjames: Performance of #AI comparable to humans when reading test sets from a quality assurance scheme #PERFORMS used to assess rea…
view full postSeptember 6, 2023
4
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Adnan Taib
@Mr_A_GT (Twitter)RT @drjonjames: Performance of #AI comparable to humans when reading test sets from a quality assurance scheme #PERFORMS used to assess rea…
view full postSeptember 6, 2023
4
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Jonathan James
@drjonjames (Twitter)Performance of #AI comparable to humans when reading test sets from a quality assurance scheme #PERFORMS used to assess readers in the UK breast screening programme. May provide a model for the testing of #AI deployed in clinical practice @radiology_rsna https://t.co/9WddLnpb7i
view full postSeptember 6, 2023
11
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Ken Harris | Chief AI Officer
@kharrisCellMed (Twitter)Performance of a Breast Cancer Detection AI Algorithm Meets/Exceeds Radiologist Reads - and, specificity was better with AI | Radiology https://t.co/aXP5geVS3Y
view full postSeptember 5, 2023
Abstract Synopsis
- The study compares how well a commercial AI algorithm and human readers perform in detecting breast cancer using the PERFORMS mammographic screening scheme, finding no significant difference in overall accuracy (AUC) between AI and humans.
- When applying standard thresholds, the AI had higher specificity (fewer false positives) but similar sensitivity to humans; however, the study couldn't confirm they are statistically equivalent due to limited test size.
- Overall, the AI demonstrated comparable diagnostic performance to human readers in this context, suggesting potential for AI to assist or augment breast cancer screening.]
Saichy E. Diaz C.
@UltrasoundBySai (Twitter)