Guest: Patricia Pellikka, M.D.
Host: Malcolm Bell, M.D.
Dr. Patricia Pellikka dives into the AI mannequin she helped construct. Working with an AI echo firm, Ultromics Ltd., her crew constructed an AI echo mannequin to detect cardiac amyloidosis. The mannequin works from an apical 4 chamber videoclip and was permitted by the FDA through the breakthrough pathway. They have validated it internationally in a inhabitants with 22% prevalence of cardiac amyloidosis and it had a sensitivity of 85%, specificity 93%, PPV 78%, NPV 96%, and AUC 0.93. The efficiency of the mannequin was constant throughout cardiac amyloid sorts; amongst AL, wild sort ATTR, and hereditary ATTR, the sensitivity was 84%, 85%, and 86%, respectively. The efficiency of the mannequin was additionally superior to beforehand validated scores which use medical and echocardiographic variables for detecting cardiac amyloidosis. The outcomes of the research had been printed on-line within the European Heart Journal in July.
Topics Discussed:
โข You have constructed an AI echo mannequin to detect cardiac amyloidosis. How did you get into this?
โข Tell us concerning the mannequin that you simply constructed. How did you validate it?
โข How does the mannequin evaluate with different screening strategies for detecting cardiac amyloidosis?
โข What are the subsequent steps on your analysis?
0:00 Welcome and visitor introduction
0:42 Study focus: AI screening for amyloidosis
1:50 From AI ECG to echocardiography fashions
3:36 Why early amyloidosis detection issues
4:22 Building and validating the echocardiography mannequin
7:49 Performance outcomes throughout amyloid sorts
9:13 Training the mannequin for early detection
10:53 Deploying the algorithm in busy echo labs
12:44 Real-world research, effectivity, and radiation discount
15:55 Education applications, modules, and CME masterclasses
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