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Discussions frequently praise the use of federated learning for enhancing model accuracy across multiple centers, with phrases like 'impressive generalizability' and 'game-changing approach' demonstrating high interest and perceived impact. The tone reflects both technical appreciation and enthusiasm for its potential to improve cardiac diagnoses.
Most discussions acknowledge the significance of federated learning for medical diagnostics, indicating general support for the research approach.
Posts highlight the innovative use of machine learning in cardiology, showing strong curiosity and enthusiasm for the technology.
Comments include specific mentions of the models' performance and implications, reflecting active engagement with the research findings.
The emphasis on improved diagnostics and potential clinical impact demonstrates that users see this work as influential.
慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https://t.co/0pUIdy5O4G 著者は後藤先生 @nibusoft ！Congratulations！ https://t.co/0lNKLv7LbS
#OriginalResearch: A multinational federated learning approach to train electrocardiogram and echocardiogram models for hypertrophic cardiomyopathy detection #AHAJournals https://t.co/u1ktGJ7SWA https://t.co/XEgMA8HTD9
Using federated learning, investigators show generalizability of a machine learning algorithm using ECG and echocardiography to detect hypertrophic cardiomyopathy across 4 academic medical centers https://t.co/xa12sHtu4A @CircAHA @calum_og @rahulcdeo https://t.co/ozemvXvKYl
Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection https://t.co/oDrqFJh326
A convolutional neural network had a better diagnostic performance in the recognition of HCM both in EKG and ultrasound compared to the specialists. A lot of effort was made here to improve generalizability by adding more centers from two countries. https://t.co/f2HUHFjg1o https://t.co/cRG1mRgoP7
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
This video features Robert Harrington MD and Jenine John discussing AI and machine learning in healthcare, focusing on critical issues like racial bias in algorithms. Remedying these biases is essential to ensure…
In part 1 of their annual review, cardiologists discuss the role of artificial intelligence in predicting age and sex from 12-lead ECGs. A convolutional neural network achieved 90.4% accuracy, providing insights into…
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection https://t.co/Kzvgo4c1GF #cardiology
https://t.co/lcCSkZePEF @nibusoft @CircAHA #MachineLearning #ahajournals
RT @CircAHA: #OriginalResearch: A multinational federated learning approach to train electrocardiogram and echocardiogram models for hypert…
RT @CircAHA: #OriginalResearch: A multinational federated learning approach to train electrocardiogram and echocardiogram models for hypert…
#OriginalResearch: A multinational federated learning approach to train electrocardiogram and echocardiogram models for hypertrophic cardiomyopathy detection #AHAJournals https://t.co/u1ktGJ7SWA https://t.co/XEgMA8HTD9
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
RT @pnatarajanmd: Using federated learning, investigators show generalizability of a machine learning algorithm using ECG and echocardiogra…
RT @antithrombosis: Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detect…
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
RT @antithrombosis: Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detect…
Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection https://t.co/oDrqFJh326
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
RT @pnatarajanmd: Using federated learning, investigators show generalizability of a machine learning algorithm using ECG and echocardiogra…
RT @pnatarajanmd: Using federated learning, investigators show generalizability of a machine learning algorithm using ECG and echocardiogra…
Using federated learning, investigators show generalizability of a machine learning algorithm using ECG and echocardiography to detect hypertrophic cardiomyopathy across 4 academic medical centers https://t.co/xa12sHtu4A @CircAHA @calum_og @rahulcdeo https://t.co/ozemvXvKYl
RT @KagiyamaNobu: 慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https:/…
慶應とハーバード（Brigham）の共同研究でFederated Learningの論文！ Federated learningは各施設でバラバラに機械学習することで、プライバシーの問題などを解決するのに期待されている手法です https://t.co/0pUIdy5O4G 著者は後藤先生 @nibusoft ！Congratulations！ https://t.co/0lNKLv7LbS
A convolutional neural network had a better diagnostic performance in the recognition of HCM both in EKG and ultrasound compared to the specialists. A lot of effort was made here to improve generalizability by adding more centers from two countries. https://t.co/f2HUHFjg1o https://t.co/cRG1mRgoP7
Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection https://t.co/9IJni3GlWu