Poster Session II - DIGITAL TRANSFORMATION, AI AND ROBOTICS 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE P901 - ESOC25-883 EXPLAINABLE MACHINE LEARNING-BASED PREDICTION OF GOOD FUNCTIONAL OUTCOME AFTER THROMBECTOMY FOR LARGE AND MEDIUM VESSEL OCCLUSION ISCHEMIC STROKE Michele Romoli 1 , Federica Sepe 2 , Francesco Cordici 1 , Sara Biguzzi 1 , Sebastiano Giacomozzi 1 , Elvis Lafe 1 , Delfina Ferrandi 3 , Ivan Gallesio 3 , Marco Longoni 1 , Federico Menetti 1 , Maria Ruggiero 1 , Giacomo Lancia 4 1 Department of Neurosciences, Bufalini Hospital, Cesena, Italy, Cesena, Italy, 2 IRCCS Mondino, Pavia, Italy, 3 Alessandria Hospital, Alessandria, Italy, 4 Universit La Sapienza, Roma, Italy Background and Aims: Despite largely used, ASPECT score has an insufficient accuracy in predicting the functional recovery after acute ischemic stroke and large inter-rater reliability

Review by Sandra (Posted on 10/7/2024) Very happy Review by Rita Easy Review by Abdelaziz HCG 40 days Review by Susan Prescription HCG Injections Review by Donna Write Your Own Review
Ironically, it's use shot up because of this
Blood glucose history affects which protocol is appropriate and how closely we monitor during treatment