Shamim Nemati

Also affiliated with University of California San Diego

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 34 papers. Top paper: “Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation”.

Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation

CHEST Journal(2020)10.1016/j.chest.2020.12.009

N/A

0.637DataRank · unranked

69 citations

Gabriel Wardi, Paulina Paul, Morgan Carlile, Laura Brenner, Kathryn A. Hibbert +8 more

Predicting progression to septic shock in the emergency department using an externally generalizable machine learning algorithm

medRxiv(2020)10.1101/2020.11.02.20224931

N/A

0DataRank · unranked

10 citations

Morgan Carlile, Andre L. Holder, Supreeth P. Shashikumar, Stephen R. Hayden, Shamim Nemati +1 more

Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”

npj Digital Medicine(2021)10.1038/s41746-021-00504-6

N/A

0DataRank · unranked

113 citations

Gabriel Wardi, Atul Malhotra, Shamim Nemati, Supreeth P. Shashikumar

DeepAISE – An interpretable and recurrent neural survival model for early prediction of sepsis

Artificial Intelligence in Medicine(2021)10.1016/j.artmed.2021.102036

N/A

0DataRank · unranked

99 citations

Christopher S. Josef, Ashish Sharma, Shamim Nemati, Supreeth P. Shashikumar

Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis

medRxiv(2021)10.1101/2021.03.02.21252779

N/A

0DataRank · unranked

20 citations

Supreeth P. Shashikumar, Fereshteh Razmi, Shamim Nemati, Fatemeh Amrollahi

Inclusion of social determinants of health improves sepsis readmission prediction models

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac060

N/A

0DataRank · unranked

42 citations

Supreeth P. Shashikumar, Angela Meier, Lucila Ohno‐Machado, Shamim Nemati, Gabriel Wardi +1 more

Leveraging clinical data across healthcare institutions for continual learning of predictive risk models

Scientific Reports(2022)10.1038/s41598-022-12497-7

N/A

0DataRank · unranked

40 citations

Supreeth P. Shashikumar, Andre L. Holder, Shamim Nemati, Fatemeh Amrollahi

Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study

JMIR Perioperative Medicine(2022)10.2196/41056

N/A

0DataRank · unranked

24 citations

Gabriel Wardi, Clare Viglione, Shamim Nemati, Laura E. Crotty Alexander, Atul Malhotra +1 more

Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case Study

Journal of Medical Internet Research(2022)10.2196/43486

N/A

0DataRank · unranked

13 citations

Aaron Boussina, Supreeth P. Shashikumar, Gabriel Wardi, Chris Longhurst, Shamim Nemati +1 more

Multicenter Validation of a Machine Learning Algorithm for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease

medRxiv(2022)10.1101/2022.02.07.21268280

N/A

0DataRank · unranked

4 citations

Samantha C. Roberts, Chisato Shimizu, Emelio Bainto, Nipha Sivilay, Adriana H. Tremoulet +18 more

Randomized Clinical Trials or Convenient Controls: TREWS or FALSE?

medRxiv(2022)10.1101/2022.08.08.22278526

N/A

0DataRank · unranked

1 citations

Supreeth P. Shashikumar, Andre L. Holder, Gabriel Wardi, Robert L. Owens, Shamim Nemati

Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us

Critical Care Medicine(2023)10.1097/ccm.0000000000005894

N/A

0DataRank · unranked

34 citations

Robert L. Owens, Christopher S. Josef, Atul Malhotra, Chris Longhurst, Shamim Nemati +1 more

Intravenous immunoglobulin resistance in Kawasaki disease patients: prediction using clinical data

Pediatric Research(2023)10.1038/s41390-023-02519-z

N/A

0DataRank · unranked

31 citations

Min-Seob Song, Gi Beom Kim, Chisato Shimizu, Emelia Bainto, Adriana H. Tremoulet +3 more

Making the Improbable Possible: Generalizing Models Designed for a Syndrome-Based, Heterogeneous Patient Landscape

Critical Care Clinics(2023)10.1016/j.ccc.2023.02.003

N/A

0DataRank · unranked

5 citations

Supreeth P. Shashikumar, Atul Malhotra, Shamim Nemati, Gabriel Wardi, Joshua Le

Differentiation of Fungal, Viral, and Bacterial Sepsis using Multimodal Deep Learning

medRxiv(2023)10.1101/2023.04.10.23288378

N/A

0DataRank · unranked

6 citations

Karthik Ramesh, Himanshu Arora, Pratik Ratadiya, Shamim Nemati, Aaron Boussina

Predicting Hospital Readmission among Patients with Sepsis using Clinical and Wearable Data

medRxiv(2023)10.1101/2023.04.10.23288368

N/A

0DataRank · unranked

5 citations

Supreeth P. Shashikumar, Haben Yhdego, Arshia Nayebnazar, Nathan Yung, Gabriel Wardi +2 more

Development & Deployment of a Real-time Healthcare Predictive Analytics Platform

PubMed(2023)10.1109/embc40787.2023.10340351

N/A

0DataRank · unranked

5 citations

Supreeth P. Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael Hogarth, Shamim Nemati +1 more

Prediction of Unplanned Hospital Readmission using Clinical and Longitudinal Wearable Sensor Features

medRxiv(2023)10.1101/2023.04.10.23288371

N/A

0DataRank · unranked

4 citations

Arshia Nayebnazar, Fatemeh Amrollahi, Aaron Boussina, Supreeth P. Shashikumar, Gabriel Wardi +2 more

Voice-Enabled Response Analysis Agent (VERAA): Leveraging Large Language Models to Map Voice Responses in SDoH Survey

medRxiv(2023)10.1101/2023.09.25.23295917

N/A

0DataRank · unranked

4 citations

Vishal Nagarajan, Hayden Pour, Supreeth P. Shashikumar, Aaron Boussina, Emilia Farcas +3 more

Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data

PubMed(2023)10.1109/embc40787.2023.10341165

N/A

0DataRank · unranked

4 citations

Supreeth P. Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar, Nathan Yung +3 more

Unsupervised Detection and Correction of Model Calibration Shift at Test-Time

PubMed(2023)10.1109/embc40787.2023.10341086

N/A

0DataRank · unranked

3 citations

Fatemeh Amrollahi, Shamim Nemati, Supreeth P. Shashikumar

Development & Deployment of a Real-time Healthcare Predictive Analytics Platform

medRxiv(2023)10.1101/2023.04.10.23288373

N/A

0DataRank · unranked

2 citations

Supreeth P. Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael Hogarth, Shamim Nemati +1 more

Impact of a deep learning sepsis prediction model on quality of care and survival

npj Digital Medicine(2024)10.1038/s41746-023-00986-6

N/A

0DataRank · unranked

140 citations

Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El‐Kareh, Chris Longhurst +6 more

Large Language Models for More Efficient Reporting of Hospital Quality Measures

NEJM AI(2024)10.1056/aics2400420

N/A

0DataRank · unranked

50 citations

Rishivardhan Krishnamoorthy, Kimberly Quintero, S. V. Joshi, Gabriel Wardi, Hayden Pour +9 more

Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae242

N/A

0DataRank · unranked

5 citations

Supreeth P. Shashikumar, Atul Malhotra, Shamim Nemati, Gabriel Wardi, Vishal Nagarajan

The impact of laboratory data missingness on sepsis diagnosis timeliness

JAMIA Open(2024)10.1093/jamiaopen/ooae085

N/A

0DataRank · unranked

3 citations

Aaron Boussina, Supreeth P. Shashikumar, Robert L. Owens, Shamim Nemati, Christopher S. Josef +1 more

A Prospective Comparison of Large Language Models for Early Prediction of Sepsis

PubMed(2024)10.1142/9789819807024_0009

N/A

0DataRank · unranked

5 citations

Shamim Nemati, Supreeth P. Shashikumar

Benchmarking changepoint detection algorithms on cardiac time series

arXiv (Cornell University)(2024)10.48550/arxiv.2404.12408

N/A

0DataRank · unranked

0 citations

Erik Reinertsen, Shamim Nemati, Gari D. Clifford, Ayse S. Cakmak

Development of a Voice-Enabled Automated Sleep Survey System

PubMed(2024)10.1109/embc53108.2024.10782240

N/A

0DataRank · unranked

0 citations

Anwesh Mohanty, Robert L. Owens, Shamim Nemati, Yang Qiu

Development and prospective implementation of a large language model based system for early sepsis prediction

npj Digital Medicine(2025)10.1038/s41746-025-01689-w

N/A

0DataRank · unranked

27 citations

Sina Mohammadi, Rishivardhan Krishnamoorthy, Avi Patel, Gabriel Wardi, Joseph Ahn +4 more

Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study

Critical Care(2025)10.1186/s13054-025-05493-6

N/A

0DataRank · unranked

7 citations

Allison Donahue, James S. Ford, Xiaolei Lu, Aaron Boussina, Atul Malhotra +4 more

A Snapshot of National Institutes of Health Funding for Sepsis Research: 2019-2023

Annals of Emergency Medicine(2025)10.1016/j.annemergmed.2025.03.011

N/A

0DataRank · unranked

4 citations

Joshua Le, Atul Malhotra, Shamim Nemati, Gabriel Wardi, James S. Ford +1 more

Operationalizing Sepsis Definitions With Artificial Intelligence: Toward Smarter Antibiotic Use

Clinical Infectious Diseases(2025)10.1093/cid/ciaf601

N/A

0DataRank · unranked

1 citations

Ben Gross, Shamim Nemati, Anil K. Malhotra, Gabriel Wardi, James S. Ford

Physician gestalt compared with AI model to predict intubation in critically ill patients

medRxiv(2025)10.64898/2025.12.19.25342667

N/A

0DataRank · unranked

0 citations

Xin Lü, Alex K. Pearce, Atul Malhotra, Shamim Nemati, Michael A Miller