Adam J Russak (Adam Russak)

Publication Activity (10 Years)

Years Active: 2020-2021
Publications (10 Years): 4

Top Topics

Machine Learning

Inferior Vena Cava

Pulmonary Embolism

Hepatitis B Virus

Top Venues

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology

Journal of medical Internet research

Clinical journal of the American Society of Nephrology : CJASN

European heart journal. Digital health

This page only lists publications with an associated author ORCID identifier.

Publications

Sulaiman S Somani, Adam J Russak, Felix Richter, Shan P Zhao, Akhil Vaid, Fayzan Chaudhry, Jessica K De Freitas, Nidhi Naik, Riccardo Miotto, Girish N Nadkarni, Jagat Narula, Edgar Argulian, Benjamin Scott Glicksberg
Deep learning and the electrocardiogram: review of the current state-of-the-art. Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology 23 (8) (2021)
Sulaiman S Somani, Hossein Honarvar, Sukrit Narula, Isotta Landi, Shawn Lee, Yeraz Khachatoorian, Arsalan Rehmani, Andrew Kim, Jessica K De Freitas, Shelly Teng, Suraj K Jaladanki, Arvind Kumar, Adam J Russak, Shan P Zhao, Robert Freeman, Matthew A Levin, Girish N Nadkarni, Alexander C Kagen, Edgar Argulian, Benjamin Scott Glicksberg
Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening. European heart journal. Digital health 3 (1) (2021)
Akhil Vaid, Lili Chan, Kumardeep Chaudhary, Suraj K Jaladanki, Ishan Paranjpe, Adam J Russak, Arash Kia, Prem Timsina, Matthew A Levin, John Cijiang He, Erwin P Böttinger, Alexander W Charney, Zahi A Fayad, Steven G Coca, Benjamin Scott Glicksberg, Girish N Nadkarni, null null
Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19. Clinical journal of the American Society of Nephrology : CJASN 16 (8) (2021)
Akhil Vaid, Sulaiman S Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan P Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish D Paranjpe, Eddye A Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura M Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M Freeman, Edgar Argulian, Andrew Kasarskis, Bethany L Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Böttinger, Matthew A Levin, Jagat Narula, Zahi Adel Fayad, Allan Carpenter Just, Alexander W Charney, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. Journal of medical Internet research 22 (11) (2020)