{"id":6082,"date":"2025-07-18T10:01:33","date_gmt":"2025-07-18T02:01:33","guid":{"rendered":"https:\/\/nullthought.net\/?p=6082"},"modified":"2025-07-18T10:23:27","modified_gmt":"2025-07-18T02:23:27","slug":"echonext%ef%bc%9a%e5%88%a9%e7%94%a8%e5%bf%83%e7%94%b5%e5%9b%be%ef%bc%88ecg%ef%bc%89%e6%a3%80%e6%b5%8b%e7%bb%93%e6%9e%84%e6%80%a7%e5%bf%83%e8%84%8f%e7%97%85%ef%bc%88structural-heart-disease-shd","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=6082","title":{"rendered":"EchoNext\uff1a\u5229\u7528\u5fc3\u7535\u56fe\uff08ECG\uff09\u68c0\u6d4b\u7ed3\u6784\u6027\u5fc3\u810f\u75c5\uff08Structural Heart Disease, SHD\uff09\u7684AI\u6a21\u578b"},"content":{"rendered":"\n

\u8bba\u6587Detecting structural heart disease from electrocardiograms using AI<\/a><\/strong>\u7684\u7814\u7a76\u91c7\u7528AI\uff0c\u5229\u7528\u5fc3\u7535\u56fe\uff08ECG\uff09<\/strong>\u68c0\u6d4b\u7ed3\u6784\u6027\u5fc3\u810f\u75c5\uff08Structural Heart Disease, SHD\uff09<\/strong>\u3002\u8bba\u6587\u63d0\u51fa\u4e86EchoNext\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u4ee3\u8868\u4e86\u4e00\u79cd\u5c06AI\u6280\u672f\u5d4c\u5165\u5fc3\u8840\u7ba1\u7b5b\u67e5\u6d41\u7a0b\u7684\u91cd\u8981\u8fdb\u5c55\uff0c\u6709\u671b\u663e\u8457\u63d0\u5347\u7ed3\u6784\u6027\u5fc3\u810f\u75c5\u7684\u65e9\u671f\u53d1\u73b0\u7387\uff0c\u5c24\u5176\u5728\u533b\u7597\u8d44\u6e90\u6709\u9650\u6216\u672a\u666e\u904d\u4f7f\u7528\u5fc3\u8d85\u7684\u5730\u533a\u5177\u6709\u5de8\u5927\u6f5c\u529b\u3002<\/p>\n\n\n\n

\u8bba\u6587\u4f5c\u8005\u4e3aTimothy J. Poterucha, Linyuan Jing, Ramon Pimentel Ricart, Michael Adjei-Mosi, Joshua Finer, Dustin Hartzel, Christopher Kelsey, Aaron Long, Daniel Rocha, Jeffrey A. Ruhl, David vanMaanen, Marc A. Probst, Brock Daniels, Shalmali D. Joshi, Olivier Tastet, Denis Corbin, Robert Avram, Joshua P. Barrios, Geoffrey H. Tison, I-Min Chiu, David Ouyang, Alexander Volodarskiy, Michelle Castillo, Francisco A. Roedan Oliver, Paloma P. Malta, Siqin Ye, Gregg F. Rosner, Jose M. Dizon, Shah R. Ali, Qi Liu, Corey K. Bradley, Prashant Vaishnava, Carol A. Waksmonski, Ersilia M. DeFilippis, Vratika Agarwal, Mark Lebehn, Polydoros N. Kampaktsis, Sofia Shames, Ashley N. Beecy, Deepa Kumaraiah, Shunichi Homma, Allan Schwartz, Rebecca T. Hahn, Martin Leon, Andrew J. Einstein, Mathew S. Maurer, Heidi S. Hartman, John Weston Hughes, Christopher M. Haggerty & Pierre Elias\uff0c\u6765\u81ea\u591a\u5bb6\u673a\u6784\uff1aSeymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA. NewYork-Presbyterian Hospital, New York, NY, USA. Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA. Department of Biomedical Informatics, Columbia University, New York, NY, USA. Department of Emergency Medicine, Columbia University Irving Medical Center, New York, NY, USA. Departments of Emergency Medicine and Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. Division of Cardiology, Montreal Heart Institute, Montreal, Quebec, Canada. Division of Cardiology and Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA. Division of Cardiology, Cedars Sinai, Los Angeles, CA, USA. Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan. Division of Cardiology, NewYork-Presbyterian Hospital-Queens, New York, NY, USA. Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Cardiovascular Research Foundation, New York, NY, USA. 14Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.<\/p>\n\n\n\n

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Detecting structural heart disease from electrocardiograms using AI<\/a><\/strong><\/figcaption><\/figure>\n\n\n\n

\u4e00\u3001\u7814\u7a76\u80cc\u666f\u4e0e\u52a8\u673a<\/p>\n\n\n\n

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\u4e8c\u3001\u6a21\u578b\u8bbe\u8ba1\u4e0e\u6570\u636e\u96c6\u6784\u5efa<\/p>\n\n\n\n

\u672c\u7814\u7a76\u63d0\u51fa\u7684\u6a21\u578b\u547d\u540d\u4e3a EchoNext\uff0c\u5176\u57fa\u7840\u4e3a\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09<\/strong>\uff0c\u8bad\u7ec3\u6570\u636e\u6765\u81ea\u7ebd\u7ea6\u957f\u8001\u4f1a\u533b\u9662\u7cfb\u7edf\uff08NYP\uff098\u5bb6\u9644\u5c5e\u533b\u9662\uff0c\u65f6\u95f4\u8de8\u5ea6\u4e3a2008\u20132022\u5e74\uff0c\u603b\u8ba11,245,273\u5bf9ECG\u2013\u8d85\u58f0\u5fc3\u52a8\u56fe\u914d\u5bf9\u6570\u636e\uff0c\u6db5\u76d6230,318\u540d\u5e74\u9f84\u226518\u5c81\u7684\u60a3\u8005\u3002\u6570\u636e\u6309\u60a3\u8005\u5212\u5206\u4e3a\u8bad\u7ec3\u96c6\uff08149,819\u4eba\uff09\u3001\u9a8c\u8bc1\u96c6\uff0835,780\u4eba\uff09\u548c\u6d4b\u8bd5\u96c6\uff0844,719\u4eba\uff09\u3002\u75be\u75c5\u6807\u6ce8\u4f9d\u636e\u7f8e\u56fd\u548c\u6b27\u6d32\u5fc3\u810f\u75c5\u534f\u4f1a\u7684\u8d85\u58f0\u5fc3\u52a8\u56fe\u6307\u5357\u5b9a\u4e49\uff0c\u5305\u62ecLVEF\u226445%\u3001\u5de6\u5fc3\u5ba4\u58c1\u539a\u22651.3cm\u3001\u4e2d\u91cd\u5ea6\u53f3\u5fc3\u5ba4\u529f\u80fd\u969c\u788d\u3001\u80ba\u52a8\u8109\u9ad8\u538b\u3001\u4e2d\u91cd\u5ea6\u5404\u7c7b\u74e3\u819c\u53cd\u6d41\/\u72ed\u7a84\u6216\u4e2d\u5927\u91cf\u5fc3\u5305\u79ef\u6db2\u7b49\u3002\u8bad\u7ec3\u4e2d\u5c06ECG\u65f6\u95f4\u9650\u5b9a\u5728\u8ddd\u5fc3\u8d85\u68c0\u67e5\u524d1\u5e74\u5185\uff0c\u786e\u4fdd\u6807\u7b7e\u53ef\u9760\u6027\u3002<\/p>\n\n\n\n

\u6a21\u578b\u7ed3\u6784\u4e2d\u91c7\u7528\u4e86\u6b8b\u5dee\u7f51\u7edc\uff08ResNet\uff09<\/a><\/strong>Block\u3002<\/p>\n\n\n\n

\u4e09\u3001\u591a\u4efb\u52a1\u5b66\u4e60\u4e0e\u6a21\u578b\u6027\u80fd<\/p>\n\n\n\n

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\u56db\u3001\u5916\u90e8\u9a8c\u8bc1\u4e0e\u4e34\u5e8a\u90e8\u7f72<\/p>\n\n\n\n

\u4f5c\u8005\u5728\u4e09\u4e2a\u72ec\u7acb\u533b\u5b66\u4e2d\u5fc3\uff08Cedars-Sinai, Montreal Heart Institute \u548c UCSF\uff09\u5bf9EchoNext\u8fdb\u884c\u4e86\u5916\u90e8\u9a8c\u8bc1\uff0c\u6837\u672c\u603b\u6570\u8d85\u8fc727,000\u4eba\uff0cSHD\u60a3\u75c5\u7387\u9ad8\u8fbe46%-54%\u3002\u5c3d\u7ba1AUC\u7565\u4e0b\u964d\u81f378%-80%\uff0c\u4f46AUPRC\u4fdd\u6301\u572877%-80%\u4e4b\u95f4\uff0c\u8868\u73b0\u4f9d\u7136\u53ef\u63a5\u53d7\u3002\u8fd9\u79cd\u8868\u73b0\u4e0b\u964d\u4e3b\u8981\u5f52\u56e0\u4e8e\u4e0d\u540c\u4eba\u7fa4\u7684\u7279\u5f81\u5dee\u5f02\uff08\u5e74\u9f84\u7ed3\u6784\u3001\u75be\u75c5\u8c31\u7b49\uff09\u53caSHD\u60a3\u75c5\u7387\u7684\u5dee\u5f02\u3002\u6b64\u5916\uff0c\u5728\u4e00\u9879\u201c\u9759\u9ed8\u90e8\u7f72\u201d\uff08silent deployment\uff09\u5b9e\u9a8c\u4e2d\uff0c\u6a21\u578b\u88ab\u7528\u5728\u672a\u505a\u8fc7\u5fc3\u8d85\u768484,875\u540d\u65b0\u60a3\u8005\u7684124,000\u4f59\u6761ECG\u4e0a\uff0c\u9884\u6d4b\u9ad8\u98ce\u9669\u8005\u4e2d\uff0c\u540e\u7eed\u505a\u5fc3\u8d85\u53d1\u73b038%\u786e\u8bcaSHD\uff0c\u8bf4\u660e\u6a21\u578b\u5177\u5907\u771f\u5b9e\u573a\u666f\u4e0b\u7684\u65e9\u7b5b\u80fd\u529b\u3002<\/p>\n\n\n\n

\u4e94\u3001\u5bf9\u6bd4\u5fc3\u810f\u75c5\u4e13\u5bb6\u4e0eAI\u8f85\u52a9\u6548\u679c<\/p>\n\n\n\n

\u7814\u7a76\u901a\u8fc7\u62bd\u53d6150\u4efdECG\u5e76\u9080\u8bf713\u4f4d\u8d44\u6df1\u5fc3\u810f\u75c5\u5b66\u5bb6\u8fdb\u884c\u4eba\u5de5\u5224\u65ad\uff0c\u540c\u65f6\u6bd4\u8f83\u4e86AI\u6a21\u578b\u5355\u72ec\u9884\u6d4b\u3001\u4eba\u5de5\u9884\u6d4b\u548cAI\u8f85\u52a9\u9884\u6d4b\u4e09\u79cd\u60c5\u51b5\u3002\u5728\u4e0d\u4f7f\u7528AI\u534f\u52a9\u65f6\uff0c\u533b\u751f\u7684\u5e73\u5747\u51c6\u786e\u7387\u4e3a64%\uff0c\u800cEchoNext\u6a21\u578b\u4e3a77.3%<\/strong>\uff1b\u5728\u63d0\u4f9bAI\u5f97\u5206\u540e\uff0c\u533b\u751f\u51c6\u786e\u7387\u63d0\u9ad8\u81f369.2%\uff0c\u4f46\u4ecd\u4f4e\u4e8eAI\u6a21\u578b\u672c\u8eab\u3002\u5c24\u5176\u5728\u5fc3\u7535\u56fe\u6b63\u5e38\u4e0e\u5f02\u5e38\u60c5\u51b5\u4e0b\uff0cAI\u6a21\u578b\u8868\u73b0\u7a33\u5b9a\uff0c\u800c\u533b\u751f\u5219\u66f4\u6613\u53d7ECG\u662f\u5426\u5f02\u5e38\u5f71\u54cd\u3002\u8fd9\u8fdb\u4e00\u6b65\u8bf4\u660eAI\u53ef\u4f5c\u4e3a\u533b\u751f\u51b3\u7b56\u7684\u6709\u529b\u8865\u5145\uff0c\u7279\u522b\u662f\u5728\u7f3a\u4e4f\u5f71\u50cf\u6216\u75c7\u72b6\u7ebf\u7d22\u7684\u65e9\u671f\u68c0\u6d4b\u9636\u6bb5\u3002<\/p>\n\n\n\n

\u516d\u3001\u524d\u77bb\u6027\u4e34\u5e8a\u8bd5\u9a8cDISCOVERY<\/p>\n\n\n\n

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\u4e03\u3001Columbia\u516c\u5f00\u6570\u636e\u96c6\u4e0e\u6a21\u578b\u53d1\u5e03<\/p>\n\n\n\n

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