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doi:10.1016/j.ajem.2018.02.019 45

Disclosure of interest: Stefano Mombelli: nothing to disclose Francesco Arba: nothing to disclose Chiara Rinaldi: nothing to disclose Marialuisa Zedde: nothing to disclose Andrea Morotti: nothing to disclose Andrea Zini: nothing to disclose Stefano Forlivesi: nothing to disclose Chiara Bassi: nothing to disclose Giuseppe Reale: nothing to disclose Rosario Pascarella: nothing to disclose Federico Mazzacane: nothing to disclose Pietro Caliandro: nothing to disclose Aurelia Zauli: nothing to disclose E-Posters - DIAGNOSIS / ETIOLOGY 04.00 - DIAGNOSIS / ETIOLOGY - 04.01 - DIAGNOSIS/INVESTIGATION OF STROKE ETIOLOGY P2390 - ESOC25-1680 LEVERAGING CLINICAL AND ECHOCARDIOGRAPHIC PREDICTORS WITH AI MODELS TO OPTIMIZE TRANSESOPHAGEAL ECHOCARDIOGRAPHY IN ISCHEMIC STROKE PATIENTS Mohiudeen Alikunju 1 , Maria Khan 1 , Mumtaz Ummar 1 1 mohammed bin rashid university, dubai, United Arab Emirates Background and Aims: Transesophageal echocardiography (TEE) uncovers embolic sources often missed by transthoracic echocardiography (TTE), but its exact indications are unclear