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Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.
Vaid A, Sawant A, Suarez-Farinas M, Lee J, Kaul S, Kovatch P, Freeman R, Jiang J, Jayaraman P, Fayad Z, Argulian E, Lerakis S, Charney AW, Wang F, Levin M, Glicksberg B, Narula J, Hofer I, Singh K, Nadkarni GN. Vaid A, et al. Among authors: sawant a. Ann Intern Med. 2023 Oct;176(10):1358-1369. doi: 10.7326/M23-0949. Epub 2023 Oct 10. Ann Intern Med. 2023. PMID: 37812781
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City.
Jaladanki SK, Vaid A, Sawant AS, Xu J, Shah K, Dellepiane S, Paranjpe I, Chan L, Kovatch P, Charney AW, Wang F, Glicksberg BS, Singh K, Nadkarni GN. Jaladanki SK, et al. Among authors: sawant as. medRxiv [Preprint]. 2021 Jul 28:2021.07.25.21261105. doi: 10.1101/2021.07.25.21261105. medRxiv. 2021. PMID: 34341802 Free PMC article. Preprint.
Machine learning for risk stratification in kidney disease.
Gulamali FF, Sawant AS, Nadkarni GN. Gulamali FF, et al. Curr Opin Nephrol Hypertens. 2022 Nov 1;31(6):548-552. doi: 10.1097/MNH.0000000000000832. Epub 2022 Aug 10. Curr Opin Nephrol Hypertens. 2022. PMID: 36004937 Free PMC article. Review.
Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements.
Gulamali F, Jayaraman P, Sawant AS, Desman J, Fox B, Chang A, Soong BY, Arivazaghan N, Reynolds AS, Duong SQ, Vaid A, Kovatch P, Freeman R, Hofer IS, Sakhuja A, Dangayach NS, Reich DS, Charney AW, Nadkarni GN. Gulamali F, et al. Among authors: sawant as. medRxiv [Preprint]. 2024 Jan 30:2024.01.30.24301974. doi: 10.1101/2024.01.30.24301974. medRxiv. 2024. PMID: 38352556 Free PMC article. Preprint.
370 results