Oguz Akbilgic to Artificial Intelligence
This is a "connection" page, showing publications Oguz Akbilgic has written about Artificial Intelligence.
Connection Strength
2.663
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Akbilgic O. Principles of Artificial Intellgence for Medicine. J Am Heart Assoc. 2024 Jun 18; 13(12):e035815.
Score: 0.916
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Karabayir I, Wilkie G, Celik T, Butler L, Chinthala L, Ivanov A, Moore Simas TA, Davis RL, Akbilgic O. Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy. Am J Obstet Gynecol MFM. 2024 Apr; 6(4):101337.
Score: 0.898
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Alkhatib D, Karabayir I, Pour-Ghaz I, Khan S, Hart L, Cease M, Khouzam RN, Jefferies JL, Akbilgic O. Pretreatment identification of 90-day readmission among heart failure patients receiving aquapheresis treatment. Curr Probl Cardiol. 2024 Feb; 49(2):102207.
Score: 0.220
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Karabayir I, Gunturkun F, Butler L, Goldman SM, Kamaleswaran R, Davis RL, Colletta K, Chinthala L, Jefferies JL, Bobay K, Ross GW, Petrovitch H, Masaki K, Tanner CM, Akbilgic O. Externally validated deep learning model to identify prodromal Parkinson's disease from electrocardiogram. Sci Rep. 2023 Jul 29; 13(1):12290.
Score: 0.215
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Kalscheur MM, Akbilgic O. AI-Enabled ECG for Paroxysmal Atrial Fibrillation Detection: One Step to Closer to the Finish Line. JACC Clin Electrophysiol. 2023 Aug; 9(8 Pt 3):1783-1785.
Score: 0.215
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Kamaleswaran R, Akbilgic O, Hallman MA, West AN, Davis RL, Shah SH. Artificial Intelligence: Progress Towards an Intelligent Clinical Support System. Pediatr Crit Care Med. 2019 Apr; 20(4):399.
Score: 0.160
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Kamaleswaran R, Akbilgic O, Hallman MA, West AN, Davis RL, Shah SH. Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU. Pediatr Crit Care Med. 2018 Oct; 19(10):e495-e503.
Score: 0.039