Ashwin S Sawant (Ashwin Sawant)

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Acute Kidney Injury

Internal Carotid Artery

St Elevation Myocardial Infarction

Top Venues

Journal of the American Medical Informatics Association : JAMIA

medRxiv : the preprint server for health sciences

NPJ digital medicine

Clinical journal of the American Society of Nephrology : CJASN

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

Publications

Faris Gulamali, Pushkala Jayaraman, Ashwin S Sawant, Jacob Desman, Benjamin Fox, Annie Chang, Brian Y Soong, Naveen Arivazaghan, Alexandra S Reynolds, Son Q Duong, Akhil Vaid, Patricia Kovatch, Robert Freeman, Ira S Hofer, Ankit Sakhuja, Neha S Dangayach, David S Reich, Alexander W Charney, Girish N Nadkarni
Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements. medRxiv : the preprint server for health sciences (2024)
Faris Gulamali, Pushkala Jayaraman, Ashwin S Sawant, Jacob Desman, Benjamin Fox, Annie Chang, Brian Y Soong, Naveen Arivazaghan, Alexandra S Reynolds, Son Q Duong, Akhil Vaid, Patricia Kovatch, Robert Freeman, Ira S Hofer, Ankit Sakhuja, Neha S Dangayach, David S Reich, Alexander W Charney, Girish N Nadkarni
Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements. medRxiv : the preprint server for health sciences (2024)
Faris Gulamali, Pushkala Jayaraman, Ashwin S Sawant, Jacob Desman, Benjamin Fox, Annie Chang, Brian Y Soong, Naveen Arivazaghan, Alexandra S Reynolds, Son Q Duong, Akhil Vaid, Patricia Kovatch, Robert Freeman, Ira S Hofer, Ankit Sakhuja, Neha S Dangayach, David S Reich, Alexander W Charney, Girish N Nadkarni
Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements. medRxiv : the preprint server for health sciences (2024)
Faris Gulamali, Pushkala Jayaraman, Ashwin S Sawant, Jacob Desman, Benjamin Fox, Annie Chang, Brian Y Soong, Naveen Arivazaghan, Alexandra S Reynolds, Son Q Duong, Akhil Vaid, Patricia Kovatch, Robert Freeman, Ira S Hofer, Ankit Sakhuja, Neha S Dangayach, David S Reich, Alexander W Charney, Girish N Nadkarni
Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements. medRxiv : the preprint server for health sciences (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Faris F Gulamali, Pushkala Jayaraman, Ashwin S Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y Soong, Naveen Arivazagan, Alexandra S Reynolds, Son Q Duong, Akhil Vaid, Patricia Kovatch, Robert M Freeman, Ira S Hofer, Ankit Sakhuja, Neha S Dangayach, David S Reich, Alexander W Charney, Girish Nitin Nadkarni
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. NPJ digital medicine 7 (1) (2024)
Akhil Vaid, Ashwin S Sawant, Mayte Suárez-Fariñas, Juhee Lee, Sanjeev Kaul, Patricia Kovatch, Robert M Freeman, Joy Jiang, Pushkala Jayaraman, Zahi Adel Fayad, Edgar Argulian, Stamatios Lerakis, Alexander W Charney, Fei Wang, Matthew A Levin, Benjamin Scott Glicksberg, Jagat Narula, Ira Hofer, Karandeep S Singh, Girish Nitin Nadkarni
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study. Annals of internal medicine (2023)
Ha My Thi Vy, Steven G Coca, Ashwin S Sawant, Ankit Sakhuja, Orlando M Gutiérrez, Richard Cooper, Ruth J F Loos, Carol R Horowitz, Ron Do, Girish Nitin Nadkarni
Genome-Wide Polygenic Risk Score for CKD in Individuals with APOL1 High-Risk Genotypes. Clinical journal of the American Society of Nephrology : CJASN (2023)
Akhil Vaid, Joy Jiang, Ashwin S Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander W Charney, Hayit Greenspan, Jagat Narula, Benjamin Scott Glicksberg, Girish Nitin Nadkarni
A foundational vision transformer improves diagnostic performance for electrocardiograms. NPJ digital medicine 6 (1) (2023)
Faris F Gulamali, Ashwin S Sawant, Patricia Kovatch, Benjamin Scott Glicksberg, Alexander Charney, Girish Nitin Nadkarni, Eric Oermann
Autoencoders for sample size estimation for fully connected neural network classifiers. NPJ digital medicine 5 (1) (2022)
Akhil Vaid, Joy J Jiang, Ashwin S Sawant, Karandeep Singh, Patricia Kovatch, Alexander W Charney, David M Charytan, Jasmin Divers, Benjamin Scott Glicksberg, Lili Chan, Girish N Nadkarni
Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis. Clinical journal of the American Society of Nephrology : CJASN 17 (7) (2022)
Wonsuk Oh, Pushkala Jayaraman, Ashwin S Sawant, Lili Chan, Matthew A Levin, Alexander W Charney, Patricia Kovatch, Benjamin Scott Glicksberg, Girish N Nadkarni
Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit. Journal of the American Medical Informatics Association : JAMIA 29 (3) (2022)
Faris F Gulamali, Ashwin S Sawant, Patricia Kovatch, Benjamin Scott Glicksberg, Alexander Charney, Girish Nitin Nadkarni, Eric Oermann
Autoencoders for sample size estimation for fully connected neural network classifiers. NPJ digital medicine 5 (1) (2022)
Suraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, Jie Xu, Kush Shah, Sergio Dellepiane, Ishan Paranjpe, Lili Chan, Patricia Kovatch, Alexander W Charney, Fei Wang, Benjamin Scott Glicksberg, Karandeep S Singh, Girish Nitin Nadkarni
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City. medRxiv : the preprint server for health sciences (2021)