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

Ashley Beecy

ORCID: 0000-0002-1504-1169

Also affiliated with NewYork–Presbyterian Hospital, Cornell University, New York Hospital Queens, Presbyterian Hospital, Weill Cornell Medicine

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 100%percentile

0Author 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 →

Papers

Driven by 8 papers. Top paper: “Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging”.

Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging

Current Atherosclerosis Reports(2024)10.1007/s11883-024-01190-x

N/A

0.894DataRank · unranked

21 citations

Ashley Beecy, Gabrielle Gershon, Janice Newsome, Hari Trivedi, Judy Gichoya +1 more

Artificial Intelligence for Cardiovascular Care—Part 1: Advances

Journal of the American College of Cardiology(2024)10.1016/j.jacc.2024.03.400

N/A

0.717DataRank · unranked

118 citations

Sneha S. Jain, Timothy J. Poterucha, Michael Randazzo, Francisco López Jiménez, Rohan Khera +16 more

Detecting structural heart disease from electrocardiograms using AI

Nature(2025)10.1038/s41586-025-09227-0

N/A

0.659DataRank · unranked

80 citations

Linyuan Jing, Richard Ricart, Michael Adjei-Mosi, Joshua Finer, Dustin N. Hartzel +45 more

Artificial Intelligence in Cardiovascular Care—Part 2: Applications

Journal of the American College of Cardiology(2024)10.1016/j.jacc.2024.03.401

N/A

0.633DataRank · unranked

67 citations

Pierre Elias, Timothy J. Poterucha, Michael Randazzo, Francisco López Jiménez, Rohan Khera +16 more

Development of novel machine learning model for right ventricular quantification on echocardiography—A multimodality validation study

Echocardiography(2020)10.1111/echo.14674

N/A

0.500DataRank · unranked

27 citations

Alex Bratt, Brian Yum, Razia Sultana, Mukund Das, Ines Sherifi +4 more

Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae056

N/A

0DataRank · unranked

17 citations

Rochelle Joly, Meghan Reading Turchioe, Natalie C. Benda, Alison Hermann, Ashley Beecy +3 more

Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems

npj Digital Medicine(2025)10.1038/s41746-025-01674-3

N/A

0DataRank · unranked

42 citations

Ashley Beecy, Mert R. Sabuncu, Jacob T. Rosenthal

Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality

PubMed(2021)10.18653/v1/2021.naacl-main.358

N/A

0DataRank · unranked

5 citations

Evan Sholle, Ashley Beecy, Subhi J. Al’Aref, Yifan Peng, Hyun Gi Lee