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

Robert Freeman

Mount Sinai Health System

ORCID: 0000-0003-4946-6533

Also affiliated with Mount Sinai Medical Center, Icahn School of Medicine at Mount Sinai

Computer ScienceMedicine

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 1%percentile
7.5Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

Clinical Characteristics of Hospitalized Covid-19 Patients in New York City

medRxiv(2020)10.1101/2020.04.19.20062117
Top 4%
5.4DataRank
Top 4%107 citations

Adam Russak, Jessica K. De Freitas, Anuradha Lala, Riccardo Miotto, Akhil Vaid +38 more

Papers

Driven by 24 papers — median percentile 93. Top paper: “Clinical Characteristics of Hospitalized Covid-19 Patients in New York City”.

Clinical Characteristics of Hospitalized Covid-19 Patients in New York City

medRxiv(2020)10.1101/2020.04.19.20062117
Top 4%
5.4DataRank
Top 4%107 citations

Adam Russak, Jessica K. De Freitas, Anuradha Lala, Riccardo Miotto, Akhil Vaid +38 more

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

Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City

BMJ Open(2020)10.1136/bmjopen-2020-040736
Top 10%
2.0DataRank
Top 10%60 citations

Adam Russak, Jessica K. De Freitas, Anuradha Lala, Riccardo Miotto, Akhil Vaid +39 more

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(2020)10.2196/24018
N/A
0.823DataRank · unranked
240 citations

Sulaiman Somani, Adam Russak, Jessica K. De Freitas, Fayzan Chaudhry, Ishan Paranjpe +43 more

Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support

Communications Medicine(2025)10.1038/s43856-025-01021-3
N/A
0.721DataRank · unranked
121 citations

Vera Sorin, Jeremy D. Collins, David Reich, Robert Freeman, Nicholas Gavin +6 more

A strategy for cost-effective large language model use at health system-scale

npj Digital Medicine(2024)10.1038/s41746-024-01315-1
N/A
0.553DataRank · unranked
39 citations

Donald U. Apakama, Ethan Abbott, Akhil Vaid, Joshua Lampert, Ankit Sakhuja +7 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

Orchestrated multi agents sustain accuracy under clinical-scale workloads compared to a single agent

medRxiv(2025)10.1101/2025.08.22.25334049
N/A
0.208DataRank · unranked
3 citations

Mahmud Omar, Ganesh Raut, Reem Agbareia, Prem Timsina, Robert Freeman +6 more

Identifying Bias at Scale in Clinical Notes Using Large Language Models

Mayo Clinic Proceedings Digital Health(2025)10.1016/j.mcpdig.2025.100296
N/A
0.208DataRank · unranked
3 citations

Kim-Anh-Nhi Nguyen, Daphnee Hyppolite, Shelly Soffer, Aya Mudrik, Emilia Ling +22 more

Comparing Machine Learning and Nurse Predictions for Hospital Admissions in a Multisite Emergency Care System

Mayo Clinic Proceedings Digital Health(2025)10.1016/j.mcpdig.2025.100249
N/A
0.165DataRank · unranked
2 citations

Matthew Bai, Prem Tismina, Ganesh Kumar Raut, Dhavalkumar D. Patel, Girish N. Nadkarni +4 more

Local large language models for privacy-preserving accelerated review of historic echocardiogram reports

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae085
N/A
0DataRank · unranked
28 citations

Son Q. Duong, Joshua Lampert, Patricia Kovatch, Robert Freeman, Edgar Argulian +6 more

Extracting International Classification of Diseases Codes from Clinical Documentation Using Large Language Models

Applied Clinical Informatics(2024)10.1055/a-2491-3872
N/A
0DataRank · unranked
18 citations

Kullaya Takkavatakarn, Megan McDougal, Girish N. Nadkarni, Ankit Sakhuja, Brian Dilcher +12 more

Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening

European Heart Journal - Digital Health(2021)10.1093/ehjdh/ztab101
N/A
0DataRank · unranked
34 citations

Hossein Honarvar, Sukrit Narula, Isotta Landi, Shawn Lee, Yeraz Khachatoorian +15 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
0DataRank · unranked
1 citations

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

Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2021.08.004
N/A
0DataRank · unranked
114 citations

Kipp W. Johnson, Marcus A. Badgeley, Sulaiman Somani, Mesude Bicak, Isotta Landi +14 more

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

npj Digital Medicine(2025)10.1038/s41746-025-01709-9
N/A
0DataRank · unranked
10 citations

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

Effect of Tiered Implementation of Clinical Decision Support System for Acute Kidney Injury and Nephrotoxin Exposure in Cardiac Surgery Patients

Applied Clinical Informatics(2025)10.1055/s-0044-1791822
N/A
0DataRank · unranked
6 citations

Connor Nevin, Rebecca L. Neely, Brian Dilcher, Nicole Kovacic-Scherrer, Heather Carter‐Templeton +13 more

NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Underfeeding Enteral Nutrition in Mechanically Ventilated Patients

Nature Communications(2025)10.1038/s41467-025-66200-1
N/A
0DataRank · unranked
1 citations

Jayshil J. Patel, Akhil Vaid, Jaskirat Gill, Paul McCarthy, Jacob Desman +15 more

Large Language Models Are Highly Vulnerable to Adversarial Hallucination Attacks in Clinical Decision Support: A Multi-Model Assurance Analysis

medRxiv(2025)10.1101/2025.03.18.25324184
N/A
0DataRank · unranked
9 citations

Vera Sorin, Jeremy Collins, David Reich, Robert Freeman, Nicholas Gavin +6 more

NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Hypocaloric Enteral Nutrition in Mechanically Ventilated Patients

medRxiv(2025)10.1101/2025.01.06.25320067
N/A
0DataRank · unranked
2 citations

Jayshil J. Patel, Jaskirat Gill, Paul McCarthy, Jacob Desman, Rohit Gupta +14 more

Large Language Models Are Poor Medical Coders — Benchmarking of Medical Code Querying

NEJM AI(2024)10.1056/aidbp2300040
N/A
0DataRank · unranked
127 citations

Benjamin Scott Glicksberg, Eyal Zimlichman, Yiftach Barash, Robert Freeman, Alexander W. Charney +3 more

Clinical Agents Don’t Care

medRxiv(2025)10.1101/2025.10.17.25338226
N/A
0DataRank · unranked
2 citations

Benjamin Scott Glicksberg, Alon Gorenshtein, Nicholas Gavin, Robert Freeman, Lisa Stump +5 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
0DataRank · unranked
43 citations

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

Real-world usage diminishes validity of Artificial Intelligence tools

medRxiv(2022)10.1101/2022.11.17.22282440
N/A
0DataRank · unranked
1 citations

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