A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology. - Supreeth Prajwal Shashikumar; Amit J. Shah; Qiao Li 011; Gari D. Clifford; Shamim Nemati (BHI, 2017)

A FHIR-Enabled Streaming Sepsis Prediction System for ICUs. - Joel R. Henry; Dennis Lynch; Jeff Mals; Supreeth P. Shashikumar; Andre L. Holder; Ashish Sharma 001; Shamim Nemati (EMBC, 2018)

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. - Supreeth Prajwal Shashikumar; Amit J. Shah; Gari D. Clifford; Shamim Nemati (KDD, 2018)

Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. - Matthew A. Reyna; Christopher Josef; Salman Seyedi; Russell Jeter; Supreeth P. Shashikumar; M. Brandon Westover; Ashish Sharma 001; Shamim Nemati; Gari D. Clifford (CinC, 2019)

Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care? - Russell J. Bradford; Christopher J. Sangwin; Supreeth P. Shashikumar; Shamim Nemati (CoRR, 2019)

DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. - Supreeth P. Shashikumar; Christopher Josef; Ashish Sharma 001; Shamim Nemati (CoRR, 2019)

Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis. - Fatemeh Amrollahi; Supreeth P. Shashikumar; Fereshteh Razmi; Shamim Nemati (AMIA, 2020)

AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production. - Fatemeh Amrollahi; Supreeth Prajwal Shashikumar; Pradeeban Kathiravelu; Ashish Sharma 001; Shamim Nemati (EMBC, 2020)

DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis. - Supreeth P. Shashikumar; Christopher Josef; Ashish Sharma 001; Shamim Nemati (Artif. Intell. Medicine, 2021)

Artificial intelligence sepsis prediction algorithm learns to say "I don't know". - Supreeth P. Shashikumar; Gabriel Wardi; Atul Malhotra; Shamim Nemati (npj Digit. Medicine, 2021)

Generalizable Models for Prediction of Physiological Decompensation from multivariate and Multiscale Physiological Time Series using Deep Learning and Transfer Learning Techniques. - Supreeth Prajwal Shashikumar (2021)

A Comparison of Uncertainty Estimation Methods for Deep Learning-based Clinical Risk Scores. - Archil K. Srivastava; Supreeth P. Shashikumar; Shamim Nemati (AMIA, 2022)

Inclusion of social determinants of health improves sepsis readmission prediction models. - Fatemeh Amrollahi; Supreeth Prajwal Shashikumar; Angela Meier; Lucila Ohno-Machado; Shamim Nemati; Gabriel Wardi (J. Am. Medical Informatics Assoc., 2022)

Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. - Fatemeh Amrollahi; Supreeth Prajwal Shashikumar; Aaron Boussina; Haben Yhdego; Arshia Nayebnazar; Nathan Yung; Gabriel Wardi; Shamim Nemati (EMBC, 2023)

Development & Deployment of a Real-time Healthcare Predictive Analytics Platform. - Aaron Boussina; Supreeth P. Shashikumar; Fatemeh Amrollahi; Hayden Pour; Michael A. Hogarth; Shamim Nemati (EMBC, 2023)

Unsupervised Detection and Correction of Model Calibration Shift at Test-Time. - Supreeth P. Shashikumar; Fatemeh Amrollahi; Shamim Nemati (EMBC, 2023)

Improving Prediction of Need for Mechanical Ventilation using Cross-Attention. - Anwesh Mohanty; Supreeth P. Shashikumar; Jonathan Y. Lam; Shamim Nemati (EMBC, 2024)

Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction. - Vishal Nagarajan; Supreeth Prajwal Shashikumar; Atul Malhotra; Shamim Nemati; Gabriel Wardi (J. Am. Medical Informatics Assoc., 2024)

Impact of a deep learning sepsis prediction model on quality of care and survival. - Aaron Boussina; Supreeth P. Shashikumar; Atul Malhotra; Robert L. Owens; Robert El-Kareh; Christopher A. Longhurst; Kimberly Quintero; Allison Donahue; Theodore C. Chan; Shamim Nemati; Gabriel Wardi (npj Digit. Medicine, 2024)

Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival. - Aaron Boussina; Supreeth P. Shashikumar; Atul Malhotra; Robert L. Owens; Robert El-Kareh; Christopher A. Longhurst; Kimberly Quintero; Allison Donahue; Theodore C. Chan; Shamim Nemati; Gabriel Wardi (npj Digit. Medicine, 2024)

Multi-VentNet: Multimodal Fusion Framework for Predicting Need for Mechanical Ventilation. - Ye Sel Lee; Xiaolei Lu; Michael Miller; Jonathan Y. Lam; Supreeth P. Shashikumar; Shamim Nemati (ISBI, 2025)

Development and prospective implementation of a large language model based system for early sepsis prediction. - Supreeth P. Shashikumar; Sina Mohammadi; Rishivardhan Krishnamoorthy; Avi Patel; Gabriel Wardi; Joseph C. Ahn; Karandeep Singh; Eliah Aronoff Spencer; Shamim Nemati (npj Digit. Medicine, 2025)