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The overall tone shows strong support and interest, with posts praising the substantial progress highlighted in the publication, such as increased peer-reviewed evidence and the shifting landscape of AI product development, reflecting a recognition of the publication's importance and potential influence on radiology AI research and practice.
Most discussions agree on the positive progress in AI evidence and acknowledge the importance of this development, referencing the increase from 36% to 66% of evidence supporting AI products.
Terms like 'huge commendations', 'peeked', and 'new imaging AI' demonstrate high curiosity and enthusiasm about the advancements discussed in the publication.
Comments explore specific trends, such as the rise in high-quality evidence and the decline in new product introductions post-2020, indicating a thoughtful engagement with the content.
Discussions highlight the significance of increased scientific backing and technological evolution, suggesting these changes will influence future research and clinical practice.
CE-certified AI with peer-reviewed evidence increased from 36% in 2020 to 66% in 2023, but the proportion of higher-level evidence papers (~24%) remained unchanged. AI in radiology: 173 commercial products and their scientific evidence @myESR https://t.co/5pJjtCQnG1
A completely bigger picture beyond Sensitivity, Specificity, PPV, NPV and F1 that is rarely explored. Huge commendations to the authors, and hopefully starting some change in AI investigation https://t.co/WoQZXo0o6T
#Research - #AI in #radiology: 173 commercially available products and their scientific evidence; new imaging AI product introductions in Europe peaked in 2020 and then plunged afterward. https://t.co/pMc7xiy1wH
RT @AmineKorchiMD: CE-certified AI with peer-reviewed evidence increased from 36% in 2020 to 66% in 2023, but the proportion of higher-leve…
The video discusses the need for increased clinical evidence in AI medicine and introduces the AMPEL solution, an open source medical device focused on generating new clinical evidence to improve AI in healthcare.
A completely bigger picture beyond Sensitivity, Specificity, PPV, NPV and F1 that is rarely explored. Huge commendations to the authors, and hopefully starting some change in AI investigation https://t.co/WoQZXo0o6T
#Research - #AI in #radiology: 173 commercially available products and their scientific evidence; new imaging AI product introductions in Europe peaked in 2020 and then plunged afterward. https://t.co/pMc7xiy1wH
RT @AmineKorchiMD: CE-certified AI with peer-reviewed evidence increased from 36% in 2020 to 66% in 2023, but the proportion of higher-leve…
RT @AmineKorchiMD: CE-certified AI with peer-reviewed evidence increased from 36% in 2020 to 66% in 2023, but the proportion of higher-leve…
CE-certified AI with peer-reviewed evidence increased from 36% in 2020 to 66% in 2023, but the proportion of higher-level evidence papers (~24%) remained unchanged. AI in radiology: 173 commercial products and their scientific evidence @myESR https://t.co/5pJjtCQnG1
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