🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Ashwin Sawant

Icahn School of Medicine at Mount Sinai

ORCID: 0000-0003-1525-8541
MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile
0.490Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Genome-Wide Polygenic Risk Score for CKD in Individuals with APOL1 High-Risk Genotypes

Clinical Journal of the American Society of Nephrology(2023)10.2215/cjn.0000000000000379
Top 39%
0.490DataRank
Top 39%10 citations

Steven G. Coca, Ashwin Sawant, Ankit Sakhuja, Orlando M. Gutiérrez, Richard Cooper +5 more

Papers

Driven by 15 papers — median percentile 61. Top paper: “Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room”.

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(2024)10.1093/jamia/ocae103
N/A
2.4DataRank · unranked
80 citations

Prem Timsina, Dhaval Patel, Ashwin Sawant, Akhil Vaid, Ganesh Raut +7 more

A foundational vision transformer improves diagnostic performance for electrocardiograms

npj Digital Medicine(2023)10.1038/s41746-023-00840-9
N/A
0.702DataRank · unranked
107 citations

Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja +7 more

Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings

Annals of Internal Medicine(2023)10.7326/m23-0949
N/A
0.568DataRank · unranked
43 citations

Ashwin Sawant, Mayte Suárez‐Fariñas, J. Lee, Sanjeev Kaul, Patricia Kovatch +15 more

Genome-Wide Polygenic Risk Score for CKD in Individuals with APOL1 High-Risk Genotypes

Clinical Journal of the American Society of Nephrology(2023)10.2215/cjn.0000000000000379
Top 39%
0.490DataRank
Top 39%10 citations

Steven G. Coca, Ashwin Sawant, Ankit Sakhuja, Orlando M. Gutiérrez, Richard Cooper +5 more

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension

npj Digital Medicine(2024)10.1038/s41746-024-01227-0
N/A
0.473DataRank · unranked
8 citations

Pushkala Jayaraman, Ashwin Sawant, Jacob Desman, Benjamin Fox, Annette Chang +14 more

Machine learning for risk stratification in kidney disease

Current Opinion in Nephrology & Hypertension(2022)10.1097/mnh.0000000000000832
N/A
0.396DataRank · unranked
13 citations

Ashwin Sawant, Girish N. Nadkarni, Faris F. Gulamali

A distributional reinforcement learning model for optimal glucose control after cardiac surgery

npj Digital Medicine(2025)10.1038/s41746-025-01709-9
N/A
0.373DataRank · unranked
11 citations

Zhang-Wei Hong, Moein Sabounchi, Ashwin Sawant, Jaskirat Gill, Ana Catarina Costa +27 more

ORAKLE: Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning

Critical Care(2025)10.1186/s13054-025-05457-w
N/A
0.345DataRank · unranked
9 citations

Marinela Veshtaj, Ashwin Sawant, Pulkit Agrawal, Hernando Gómez, Mayte Suárez‐Fariñas +7 more

Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis

Clinical Journal of the American Society of Nephrology(2022)10.2215/cjn.16481221
N/A
0.345DataRank · unranked
9 citations

Joy Jiang, Ashwin Sawant, Karandeep Singh, Patricia Kovatch, Alexander W. Charney +6 more

Autoencoders for sample size estimation for fully connected neural network classifiers

npj Digital Medicine(2022)10.1038/s41746-022-00728-0
N/A
0.345DataRank · unranked
9 citations

Ashwin Sawant, Patricia Kovatch, Benjamin Scott Glicksberg, Alexander W. Charney, Girish N. Nadkarni +2 more

OUP accepted manuscript

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab252
N/A
0.330DataRank · unranked
8 citations

Pushkala Jayaraman, Ashwin Sawant, Lili Chan, Matthew A. Levin, Alexander W. Charney +4 more

An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets

arXiv (Cornell University)(2023)10.48550/arxiv.2311.03425
N/A
0.165DataRank · unranked
2 citations

Ashwin Sawant, Lora E. Liharska, Carol R. Horowitz, Lili Chan, Patricia Kovatch +9 more

Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements

medRxiv(2024)10.1101/2024.01.30.24301974
N/A
0.104DataRank · unranked
1 citations

Pushkala Jayaraman, Ashwin Sawant, Jacob Desman, Benjamin Fox, Annie Chang +14 more

Real-world usage diminishes validity of Artificial Intelligence tools

medRxiv(2022)10.1101/2022.11.17.22282440
N/A
0.104DataRank · unranked
1 citations

Ashwin Sawant, Mayte Suárez‐Fariñas, Ju Hee Lee, Sanjeev Kaul, Patricia Kovatch +15 more

ORAKLE: Optimal Risk prediction for mAke30 in patients with acute Kidney injury using deep Learning

medRxiv(2025)10.1101/2025.01.18.25320769
N/A
0DataRank · unranked
0 citations

Marinela Veshtaj, Ashwin Sawant, Pulkit Agrawal, Hernando Gómez, Mayte Suárez‐Fariñas +7 more