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Connection

Oguz Akbilgic to Artificial Intelligence

This is a "connection" page, showing publications Oguz Akbilgic has written about Artificial Intelligence.
Connection Strength

2.663
  1. Akbilgic O. Principles of Artificial Intellgence for Medicine. J Am Heart Assoc. 2024 Jun 18; 13(12):e035815.
    View in: PubMed
    Score: 0.916
  2. 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.
    View in: PubMed
    Score: 0.898
  3. 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.
    View in: PubMed
    Score: 0.220
  4. 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.
    View in: PubMed
    Score: 0.215
  5. 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.
    View in: PubMed
    Score: 0.215
  6. 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.
    View in: PubMed
    Score: 0.160
  7. 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.
    View in: PubMed
    Score: 0.039
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.