The statements reflect enthusiasm for the research, with phrases like 'potential of AI' and 'could provide a solution,' indicating optimism and acknowledgment of the study’s importance. The tone mixes technical appreciation with forward-looking statements about healthcare improvements, demonstrating deep engagement with the topic and its large-scale implications.
AgreementStrong agreement
Most discussions strongly support the positive potential of AI in breast cancer screening, highlighting its performance and benefits.
InterestHigh interest
The posts demonstrate high curiosity about the research findings and implications for medical screening practices.
EngagementModerate engagement
Many participants reference specific aspects of the study, such as performance metrics and workforce challenges, showing active involvement.
ImpactHigh impact
The discussions emphasize the transformative potential of AI in healthcare, suggesting significant practical and policy implications.
Abstract in brief
The study evaluates the use of artificial intelligence (AI) as an independent reader in double reading mammograms for breast cancer screening, aiming to address workforce shortages and improve efficiency.
Results showed that AI performed at least as well as human readers in key screening metrics like recall rate, cancer detection, sensitivity, specificity, and positive predictive value, with some measures even surpassing human performance across various vendors and sites.
While AI could increase arbitration rates, it has the potential to significantly reduce human workload by up to 44.8%, suggesting it can maintain or improve care standards while making screening processes more sustainable across different populations and equipment.]
@josheac @stevejarrett @stefihane @nytimes Just in case you are interested, here is the second peer reviewed paper about our large-scale study which was just published: https://t.co/hVmkKGMSVl
May 21, 2023 · 1 like · 2,093 followersView post →
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Mary
@readaloudbooks · X
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms https://t.co/TXeOiQvHYk
May 20, 2023 · 1 like · 1,621 followersView post →
BS
BMC Series
@BMC_series · X
A study in #BMCCancer shows the potential of AI as an independent reader in double-reading mammography. With workforce shortages presenting sustainability challenges, AI could provide a solution to improve screening performance.
Find out more at: https://t.co/quDUe7jkuf https://t.co/wte4nwFnyz
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms
Read the results in #BMCCancer @BMC_series
#ISRCTN: https://t.co/mlOOKe8yt1
https://t.co/nf8NxNl9b9
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms https://t.co/1PyvlfgERA
This study assesses artificial intelligence as an independent reader in mammogram double reading, showing performance comparable or superior to human readers, and highlighting potential to reduce workload and enhance…
A study in #BMCCancer shows the potential of AI as an independent reader in double-reading mammography. With workforce shortages presenting sustainability challenges, AI could provide a solution to improve screening performance.
Find out more at: https://t.co/quDUe7jkuf https://t.co/wte4nwFnyz
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms
Read the results in #BMCCancer @BMC_series
#ISRCTN: https://t.co/mlOOKe8yt1
https://t.co/nf8NxNl9b9
@josheac @stevejarrett @stefihane @nytimes Just in case you are interested, here is the second peer reviewed paper about our large-scale study which was just published: https://t.co/hVmkKGMSVl
May 21, 2023 · 1 like · 2,093 followersView post →
M
Mary
@readaloudbooks · X
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms https://t.co/TXeOiQvHYk
May 20, 2023 · 1 like · 1,621 followersView post →
OL
Oncology & Machine Learning
@MlOncology · X
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms https://t.co/1PyvlfgERA
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