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Ashwin S Sawant

Showing results (1-10 of 9) with videos related to

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Current Opinion in Nephrology and Hypertension|August 25, 2022
Machine learning for risk stratification in kidney diseaseFaris F Gulamali, Ashwin S Sawant, Girish N Nadkarni
NPJ Digital Medicine|December 13, 2022
Autoencoders for sample size estimation for fully connected neural network classifiersFaris F Gulamali, Ashwin S Sawant, Patricia Kovatch, et al.
PLOS Digital Health|May 7, 2026
Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health recordsEyal Klang, Vera Sorin, Panagiotis Korfiatis, et al.
Journal of the American Medical Informatics Association : JAMIA|January 29, 2022
Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unitWonsuk Oh, Pushkala Jayaraman, Ashwin S Sawant, et al.
Medrxiv : the Preprint Server for Health Sciences|August 3, 2021
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York CitySuraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, et al.
Medrxiv : the Preprint Server for Health Sciences|August 16, 2024
Personalized Fluid Management in Patients with Sepsis and AKI: A Policy Tree ApproachWonsuk Oh, Kullaya Takkavatakarn, Hannah Kittrell, et al.
NPJ Digital Medicine|September 5, 2024
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertensionFaris Gulamali, Pushkala Jayaraman, Ashwin S Sawant, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurementsFaris Gulamali, Pushkala Jayaraman, Ashwin S Sawant, et al.
Critical Care Explorations|December 8, 2025
Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Casual Machine Learning ApproachWonsuk Oh, Kullaya Takkavatakarn, Zainab Al-Taie, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Current Opinion in Nephrology and Hypertension|August 25, 2022
Machine learning for risk stratification in kidney diseaseFaris F Gulamali, Ashwin S Sawant, Girish N Nadkarni
NPJ Digital Medicine|December 13, 2022
Autoencoders for sample size estimation for fully connected neural network classifiersFaris F Gulamali, Ashwin S Sawant, Patricia Kovatch, et al.
PLOS Digital Health|May 7, 2026
Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health recordsEyal Klang, Vera Sorin, Panagiotis Korfiatis, et al.
Journal of the American Medical Informatics Association : JAMIA|January 29, 2022
Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unitWonsuk Oh, Pushkala Jayaraman, Ashwin S Sawant, et al.
Medrxiv : the Preprint Server for Health Sciences|August 3, 2021
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York CitySuraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, et al.
Medrxiv : the Preprint Server for Health Sciences|August 16, 2024
Personalized Fluid Management in Patients with Sepsis and AKI: A Policy Tree ApproachWonsuk Oh, Kullaya Takkavatakarn, Hannah Kittrell, et al.
NPJ Digital Medicine|September 5, 2024
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertensionFaris Gulamali, Pushkala Jayaraman, Ashwin S Sawant, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurementsFaris Gulamali, Pushkala Jayaraman, Ashwin S Sawant, et al.
Critical Care Explorations|December 8, 2025
Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Casual Machine Learning ApproachWonsuk Oh, Kullaya Takkavatakarn, Zainab Al-Taie, et al.
Pageof 1