| 2022 |
Anwesh |
The Linear Representation Hypothesis and the Geometry of Large Language Models |
| 2022 |
Nathan |
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU |
| 2022 |
Mingjia |
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders |
| 2022 |
Nathan |
Slides: Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study |
| 2022 |
Nathan |
Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study |
| 2022 |
Archil |
Reinforced Self-Training (ReST) for Language Modeling |
| 2022 |
Fatemeh |
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models |
| 2022 |
Jonathan |
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models |
| 2022 |
Fatemeh |
Explaining machine learning models with interactive natural language conversations using TalkToModel |
| 2022 |
Aaron |
Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults |
| 2022 |
Fatemeh |
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation |
| 2022 |
Haben |
Real-time infection prediction with wearable physiological monitoring and AI to aid military workforce readiness during COVID-19 |
| 2022 |
Aaron |
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency |
| 2022 |
Irvin |
The silent trial - the bridge between bench-to-bedside clinical AI application |
| 2022 |
Nicole |
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging |
| 2022 |
Nathan |
Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients |
| 2022 |
Gabe |
Sepsis subphenotyping based on organ dysfunction trajectory |
| 2022 |
Aaron |
Machine Learning Prediction of Clinical Trial Operational Efciency |
| 2022 |
Thesath |
Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment |
| 2022 |
Jonathan |
Concept-based model explanations for electronic health records |
| 2022 |
Archil |
Literature-Augmented Clinical Outcome Prediction |
| 2022 |
Gabe |
Implementation approaches and barriers for rule-based and machine learning-based sepsis risk prediction tools: a qualitative study |
| 2022 |
Supreeth |
A Pragmatic Stepped-wedge, Cluster-controlled Trial of Real-time Pneumonia Clinical Decision Support |
| 2022 |
Gabe |
Development and Verification of a Digital Twin Patient Model to Predict Specific Treatment Response During the First 24 Hours of Sepsis |
| 2022 |
Jonathan |
Deep phenotyping of Alzheimer’s disease leveraging electronic medical records identifies sex-specific clinical associations |
| 2022 |
Dr. Benjamin Glicksberg |
Contrastive learning improves critical event prediction in COVID-19 patients |
| 2022 |
Rahul |
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records |
| 2021 |
Jonathan |
Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort |
| 2021 |
Archil |
Training deep neural-networks using a noise adaptation layer |
| 2021 |
Aaron |
Personalized Antibiograms: Machine Learning for Precision Selection of Empiric Antibiotics |
| 2021 |
Supreeth |
Improving Timeliness of Antibiotic Administration Using a Provider and Pharmacist Facing Sepsis Early Warning System in the Emergency Department Setting: A Randomized Controlled Quality Improvement Initiative |
| 2021 |
Nancy |
Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health |
| 2021 |
Jonathan |
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning |
| 2021 |
Dr. Gabe Wardi |
Design and Implementation of a Real-time Monitoring Platform for Optimal Sepsis Care in an Emergency Department: Observational Cohort Study |
| 2021 |
Dr. Kit Curtius |
Multicentre derivation and validation of a colitis-associated colorectal cancer risk prediction web tool |
| 2021 |
Jonathan |
Swarm Learning for decentralized and confidential clinical machine learning |
| 2021 |
Severine |
The Value of Artificial Intelligence in Laboratory Medicine: Current Opinions and Barriers to Implementation |
| 2021 |
Aaron |
Towards understanding the effective use of antibiotics for sepsis |
| 2021 |
Jonathan |
Early detection of sepsis utilizing deep learning on electronic health record event sequences |
| 2021 |
Nancy |
Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case‑study in pulmonary embolism detection |
| 2021 |
Severine |
Directions for Explainable Knowledge-Enabled Systems |
| 2021 |
Supreeth |
Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock |
| 2021 |
Aaron |
Improving the delivery of palliative care through predictive modeling and healthcare informatics |
| 2021 |
- |
From Data to Optimal Decision Making: A Data-Driven, Probabilistic Machine Learning Approach to Decision Support for Patients With Sepsis |
| 2021 |
Dr. Sally Baxter |
Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study |
| 2021 |
Supreeth |
Learning Representations of Missing Data for Predicting Patient Outcomes |
| 2021 |
Supreeth |
Second opinion needed: communicating uncertainty in medical machine learning |
| 2021 |
Fatemeh |
Deep Learning for Improved Risk Prediction in Surgical Outcomes |
| 2021 |
- |
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance |
| 2021 |
Supreeth |
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning |
| 2021 |
- |
Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Study in Human Volunteers |
| 2020 |
- |
Contrastive Learning of Medical Visual Representations from Paired Images and Text |
| 2020 |
- |
A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections |
| 2020 |
Supreeth |
Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults |
| 2020 |
Nancy |
Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study |
| 2020 |
Nancy |
A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia |
| 2020 |
Nancy |
Predicting Severe Chronic Obstructive Pulmonary Disease Exacerbations. Developing a Population Surveillance Approach with Administrative Data |
| 2020 |
Nancy |
Machine Learning and Prediction of All-Cause Mortality in COPD |
| 2020 |
Heqi |
Explainable artificial intelligence model to predict acute critical illness from electronic health records |
| 2019 |
Chris |
Control of Confounding and Reporting of Results in Causal Inference Studies Examples of DAG Strobe Statement Strobe Paper |
| 04/13 |
- |
1) PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration 2) A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data |
| 09/12 |
Supreeth |
On the interpretability of machine learningbased model for predicting hypertension Extra: Blog post on LIME, Blog post on Shapley Values |
| 08/15 |
Jejo Koola |
A clinically applicable approach to continuous prediction of future acute kidney injury |
| 07/12 |
Gabe Wardi |
Personal clinical history predicts antibiotic resistance of urinary tract infections |
| 07/02 |
Supreeth |
Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis - Continued |
| 06/20 |
Supreeth |
Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis and Supplementary Material |
| 05/17 |
Supreeth |
Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation and Objecting to experiments that compare two unobjectionable policies or treatments |
| 02/25 |
Matt |
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis |
| 02/11 |
Russell |
Sepsis as a model for improving diagnosis and Evaluating the impact of a computerized surveillance algorithm and decision support system on sepsis mortality |
| 01/09 |
Russell |
Evaluating a New Marker for Risk Prediction Using the Test Tradeoff: An Update Decision Analysis for the Evaluation of Diagnostic Tests, Prediction Models, and Molecular Markers Decision Analysis |
| 12/05/18 |
Russell |
The challenge of implementing AI models in the ICU To Trust Or Not To Trust A Classifier Supplement |
| 11/16/18 |
Russell/Supreeth |
Relational inductive biases, deep learning, and graph networks |
| 10/24/18 |
Russell |
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care Supplementary Materials |
| 10/03/18 |
Supreeth |
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation |
| 09/28/18 |
Supreeth |
Estimating attributable fraction of mortality from sepsis to inform clinical trials Supplementary Materials |
| 09/12/18 |
Russell |
The reusable holdout: Preserving validity in adaptive data analysis Supplementary Materials |
| 03/07/18 |
Supreeth |
Scalable and accurate deep learning for Electronic Health Records |
| 01/31/19 |
Supreeth |
Learning to cluster in order to transfer across domains and tasks |
| 01/24/18 |
Azade |
Maximum Likelihood Estimation, Weibull cox proportional hazards model |
| 12/14/17 |
Supreeth |
Neural Network based clustering using pair-wise constraints |
| 07/13/17 |
Erik Reinertsen |
Transfer Entropy Estimation and Directional Coupling Change Detection in Biomedical Time Series |
| 07/06/17 |
Supreeth |
Doubly Robust Policy Evaluation and Learning |
| 06/29/17 |
Supreeth |
Doubly Robust Estimation of Causal Effects |
| 06/22/17 |
Supreeth |
Nonlinear Inverse Reinforcement Learning with Gaussian Processes |
| 06/07/17 |
Supreeth |
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks |
| 06/22/16 |
Mark Connolly |
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI |
| 05/18/16 |
Sahar Harati |
Speech Emotion Recognition Using Deep Neural Network and Extreme Learning Machine |
| 04/27/16 |
Jitesh Punjabi |
Using Anchors to Estimate Clinical State without Labelee Data |
| 04/13/16 |
Supreeth Prajwal |
OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records |
| 03/30/16 |
Ziyi Li |
Using generalized estimating equations for longitudinal data analysis |
| 03/02/16 |
Erik Reinertsen |
Major depressive disorder subtypes to predict long-term course |
| 02/17/16 |
Myles McCrary |
Real-time prediction of mortality, readmission, and length of stay |