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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