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Discussions emphasize the novelty of integrating AI in optical diagnosis, with phrases like 'excellent study' and 'wonderful team' highlighting positive reception. The tone reflects enthusiasm for AI’s role in clinical decision-making and education, indicating strong engagement and perceived impact.
Most discussions praise the study, highlighting its innovative approach and potential benefits, indicating strong support.
Participants show high interest by engaging with multiple aspects such as AI's role, learning benefits, and clinical implications.
Posts include references to specific strategies, methods, and the significance of the research, reflecting deep engagement.
The discussions suggest that the research is seen as a promising advancement that can influence future clinical practices broadly.
Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC)study by Emanuele Rondonotti et al. Find out more here: https://t.co/KXSvSsUzRs https://t.co/htHuYAx52Z
Paper 1: Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study Presenter: Emanuele Rondonottii Discussant: Yuichi Mori Register: https://t.co/P8lCKRuQE5
#AuthorCommentary Emanuele Rondonotti on “Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice... by Emanuele Rondonotti et al. Find out more here: https://t.co/KXSvSsCYsS Watch the Video here: https://t.co/UVnRYsTgat
#podcast Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice... by Emanuele Rondonotti, Cesare Hassan, Giacomo Tamanini et al. Read more here: https://t.co/KXSvSsUzRs Listen on YouTube: https://t.co/kHo4Wvbf1t
Excellent study on AI and the leave-in-situ strategy for rectosigmoid ≤ 5mm polyps in @endoscopyjrnl . Two novelties: - Role of AI as an adjuvant to human diagnosis, working together. - Possible role of AI in the learning process of optical diagnosis. https://t.co/PqSbeiRMrb
@endoscopyjrnl Get access rather than a paywall: https://t.co/BURdVpjMCu Add https://t.co/SXSePSX5De to the DOI URL when sharing articles to promote scholarly communication
Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice. The study demonstrates that experts using AI met the necessary negative predictive value standards, while…
@endoscopyjrnl Paywalls are frustrating! Access the article from your library: https://t.co/BURdVpjMCu Promote scholarly access when tweeting articles by simply adding https://t.co/SXSePSX5De to the DOI URL
#podcast Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice... by Emanuele Rondonotti, Cesare Hassan, Giacomo Tamanini et al. Read more here: https://t.co/KXSvSsUzRs Listen on YouTube: https://t.co/kHo4Wvbf1t
@endoscopyjrnl Get access rather than a paywall: https://t.co/BURdVpjMCu Add https://t.co/SXSePSX5De to the DOI URL when sharing articles to promote scholarly communication
#AuthorCommentary Emanuele Rondonotti on “Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice... by Emanuele Rondonotti et al. Find out more here: https://t.co/KXSvSsCYsS Watch the Video here: https://t.co/UVnRYsTgat
Excellent study on AI and the leave-in-situ strategy for rectosigmoid ≤ 5mm polyps in @endoscopyjrnl . Two novelties: - Role of AI as an adjuvant to human diagnosis, working together. - Possible role of AI in the learning process of optical diagnosis. https://t.co/PqSbeiRMrb
@endoscopyjrnl Get access rather than a paywall: https://t.co/BURdVpjMCu Add https://t.co/SXSePSX5De to the DOI URL when sharing articles to promote scholarly communication
Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC)study by Emanuele Rondonotti et al. Find out more here: https://t.co/KXSvSsUzRs https://t.co/htHuYAx52Z
Paper 1: Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study Presenter: Emanuele Rondonottii Discussant: Yuichi Mori Register: https://t.co/P8lCKRuQE5
Nice study, wonderful team! Artificial intelligence assisted optical diagnosis for resect and discard strategy in clinical practice (Artificial… https://t.co/GGbwYDKDCz
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