Vesela Kovacheva

MedicineSocial Sciences

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 19 papers. Top paper: “Risk of preeclampsia in patients with genetic predisposition to common medical conditions: a case-control study”.

Risk of preeclampsia in patients with genetic predisposition to common medical conditions: a case-control study

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.03.04.976472

N/A

0DataRank · unranked

0 citations

Vesela Kovacheva, Hooman Mirzakhani, Andrew Bjonnes, Berta Almoguera, Melissa L. Wilson +11 more

A survey of pregnant patients’ perspectives on the implementation of artificial intelligence in clinical care

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac200

N/A

0DataRank · unranked

33 citations

Kathryn J. Gray, Kara G. Fields, Naida M. Cole, David W. Bates, Vesela Kovacheva +1 more

Pain Severity and Pain Interference in Late Pregnancy: An Analysis of Biopsychosocial Factors Among Women Scheduled for Cesarean Delivery

Pain Medicine(2022)10.1093/pm/pnac171

N/A

0DataRank · unranked

12 citations

Jingui He, K. Mikayla Flowers, Vesela Kovacheva, Mieke Soens, Kristin L. Schreiber +1 more

Hemodynamic changes in patients with SARS-CoV-2 infection presenting for cesarean delivery under spinal anesthesia: a retrospective case-control study

International Journal of Obstetric Anesthesia(2022)10.1016/j.ijoa.2022.103624

N/A

0DataRank · unranked

2 citations

Kathryn J. Gray, Guang‐Biao Zhou, Raphael Y. Cohen, William Armero, Y K Chen +6 more

Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models

npj Digital Medicine(2023)10.1038/s41746-023-00957-x

N/A

0DataRank · unranked

66 citations

Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu‐Jones, Kathryn J. Gray +3 more

Preeclampsia Prediction Using Machine Learning and Polygenic Risk Scores From Clinical and Genetic Risk Factors in Early and Late Pregnancies

Hypertension(2023)10.1161/hypertensionaha.123.21053

N/A

0DataRank · unranked

46 citations

Braden W. Eberhard, Raphael Y. Cohen, Matthew Maher, Richa Saxena, Kathryn J. Gray +1 more

Performance Characteristics of Sepsis Screening Tools During Antepartum and Postpartum Admissions

Obstetrics and Gynecology(2023)10.1097/aog.0000000000005480

N/A

0DataRank · unranked

22 citations

Matt Fuller, Vesela Kovacheva, Rania Elkhateb, Kristen M.J. Azar, Morgan Caldwell +16 more

Performance Characteristics of Sepsis Screening Tools During Delivery Admissions

Obstetrics and Gynecology(2023)10.1097/aog.0000000000005477

N/A

0DataRank · unranked

18 citations

Matt Fuller, Vesela Kovacheva, Rania Elkhateb, Kristen M.J. Azar, M Caldwell +16 more

On the Horizon: Specific Applications of Automation and Artificial Intelligence in Anesthesiology

Current anesthesiology reports(2023)10.1007/s40140-023-00558-0

N/A

0DataRank · unranked

12 citations

Vesela Kovacheva, Sherwin C. Davoud

An Interpretable Longitudinal Preeclampsia Risk Prediction Using Machine Learning

medRxiv(2023)10.1101/2023.08.16.23293946

N/A

0DataRank · unranked

12 citations

Raphael Y. Cohen, John Rigoni, David W. Bates, Kathryn J. Gray, Vesela Kovacheva +1 more

Zero-shot Interpretable Phenotyping of Postpartum Hemorrhage Using Large Language Models

medRxiv(2023)10.1101/2023.05.31.23290753

N/A

0DataRank · unranked

9 citations

Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu‐Jones, Kathryn J. Gray +3 more

Preeclampsia and eclampsia: Enhanced detection and treatment for morbidity reduction

Best practice & research. Clinical anaesthesiology(2024)10.1016/j.bpa.2024.11.001

N/A

0DataRank · unranked

9 citations

S Venkatachalam, Claire Pfister, Tooba Anwer, Vesela Kovacheva

Deep survival analysis for interpretable time-varying prediction of preeclampsia risk

Journal of Biomedical Informatics(2024)10.1016/j.jbi.2024.104688

N/A

0DataRank · unranked

6 citations

Kathryn J. Gray, David W. Bates, Vesela Kovacheva, Braden W. Eberhard

Opportunities of AI-powered applications in anesthesiology to enhance patient safety

International Anesthesiology Clinics(2024)10.1097/aia.0000000000000437

N/A

0DataRank · unranked

6 citations

Baily Nagle, Vesela Kovacheva

Deep Survival Analysis for Interpretable Time-Varying Prediction of Preeclampsia Risk

medRxiv(2024)10.1101/2024.01.18.24301456

N/A

0DataRank · unranked

2 citations

Kathryn J. Gray, David W. Bates, Vesela Kovacheva, Braden W. Eberhard

Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning

PLoS ONE(2025)10.1371/journal.pone.0323873

N/A

0DataRank · unranked

7 citations

Raphael Y. Cohen, N.J. Wheeler, Ricardo Kleinlein, John Rigoni, David W. Bates +3 more

The Obstetric Comorbidity Index (OB-CMI) and its association with ICU admission and length of hospital stay in pregnant patients with pulmonary hypertension: a retrospective cohort study (1996–2025)

International Journal of Obstetric Anesthesia(2025)10.1016/j.ijoa.2025.104751

N/A

0DataRank · unranked

2 citations

Enmei Liu, B. Anne Eberhard, D. Franyutti, Kathryn J. Gray, Dan M. Drzymalski +2 more

External validation of a machine learning model to predict postpartum hemorrhage in a US northeastern healthcare system

Pregnancy(2025)10.1002/pmf2.70200

N/A

0DataRank · unranked

1 citations

Ricardo Kleinlein, N.J. Wheeler, Kartik K. Venkatesh, Eric Jelovsek, David W. Bates +2 more

SPELL: A Scalable NLP Method Using Regular Expressions and Large Language Models for Clinical Information Extraction

medRxiv(2025)10.1101/2025.07.25.25332130

N/A

0DataRank · unranked

1 citations

David W. Bates, Carolyn Guan, Kathryn J. Gray, Vesela Kovacheva, Ricardo Kleinlein