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Akbilgic, Oguz
One or more keywords matched the following properties of Akbilgic, Oguz
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keywords Artificial Intelligence for disease detection, risk prediction and prognosis, ECG-AI
overview Oguz Akbilgic, DBA, PhD is a biomedical informaticist, innovator and entrepreneur with training and expertise in machine learning, statistical modeling and business administration. His research focus is on the development of AI models for detection, risk prediction, and prognostic assessment of cardiovascular diseases including but not limited to heart failure, sudden cardiac death, cardiomyopathies, valvular disease, arrhythmias. He also has active research projects on detection and risk prediction neurodegenerative diseases (e.g. Parkinson's Disease, Alzheimers Disease, Dementia) and adverse maternal events. His research lab includes seven PHD or MD level members with expertise in AI, machine learning, cardiology, computational biology, computer science and mobile app development.
One or more keywords matched the following items that are connected to Akbilgic, Oguz
Item TypeName
Concept Artificial Intelligence
Academic Article Artificial Intelligence-Assisted Prediction of Late-Onset Cardiomyopathy Among Childhood Cancer Survivors.
Academic Article ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure.
Academic Article A generalizable electrocardiogram-based artificial intelligence model for 10-year heart failure risk prediction.
Grant Early Identification of Childhood Cancer Survivors at High Risk for Late Onset Cardiomyopathy: An Artificial Intelligence Approach utilizing Electrocardiography
Academic Article PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform.
Academic Article Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU.
Academic Article Artificial Intelligence: Progress Towards an Intelligent Clinical Support System.
Academic Article The Promise of Machine Learning: When Will it be Delivered?
Academic Article Machine Learning to Identify Dialysis Patients at High Death Risk.
Academic Article Electrocardiographic changes predate Parkinson's disease onset.
Academic Article Gradient boosting for Parkinson's disease diagnosis from voice recordings.
Academic Article Application of machine learning to the prediction of postoperative sepsis after appendectomy.
Academic Article The quest for cardiovascular disease risk prediction models in patients with nondialysis chronic kidney disease.
Academic Article Using machine learning to predict rapid decline of kidney function in sickle cell anemia.
Academic Article Machine learning models improve prediction of large vessel occlusion and mechanical thrombectomy candidacy in acute ischemic stroke.
Academic Article Predicting Parkinson's Disease and Its Pathology via Simple Clinical Variables.
Academic Article Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography.
Academic Article Trends in cardiology and oncology artificial intelligence publications.
Academic Article AI-Enabled ECG for Paroxysmal Atrial Fibrillation Detection: One Step to Closer to the Finish Line.
Academic Article Externally validated deep learning model to identify prodromal Parkinson's disease from electrocardiogram.
Academic Article Pretreatment identification of 90-day readmission among heart failure patients receiving aquapheresis treatment.
Academic Article Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy.
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  • Artificial Intelligence