Research

We deploy a data driven and clinically focused approach to building rigorous healthcare AI. Our solutions are designed based on our clinical experience and informed by years of research across diverse topics. This is an index of our team's peer-reviewed publications:

Screening for Missed Opportunities for Diagnosis in the ED Using eTriggers and Large Language Models

JAMA Network Open• 2026

C. Marks, Sean Gibney, B. Stenson +17

Research

Screening for Missed Opportunities for Diagnosis in the ED Using eTriggers and Large Language Models

Improving End-of-Life Screening in the Emergency Department with Collaborative Artificial Intelligence

Performance of a large language model on the reasoning tasks of a physician.

Evaluating Spanish Translations of Emergency Department Discharge Instructions by a Large Language Model: Tool Validation and Reliability Study

A clinical environment simulator for dynamic AI evaluation.

State of clinical AI in 2026

Co‐Design of a Sleep Improvement Intervention for Persons Living With Dementia Boarding in the Emergency Department

Patient Experience of Clinician Compassion Is Associated With Healthcare System Distrust Among Emergency Department Patients

A qualitative study of goals of hospital care and health outcome goals among patients admitted for heart failure.

Scaling Clinical Judgment to Evaluate Medical AI

Feasibility and Acceptability of Oura Ring Sleep Monitoring in Older Adults Admitted From the Emergency Department: Prospective Cohort Study

Disposition at Equipoise: A Qualitative Study of Emergency Physicians' Decision‐Making About Hospitalizing People With Dementia

Time to Inpatient Management for Boarding Emergency Department Patients.

Classification of Emergency Diagnosis–Sensitive Conditions Among Medicare Beneficiaries

Recruiting People With Dementia in Emergency Research: Insights From Geriatric Emergency Care Applied Research 2.0 Network (GEAR 2.0) Pilot Studies

Exploring the Feasibility and Acceptability of AI-Mediated Serious Illness Conversations in the Emergency Department

Model-Based Reinforcement Learning for Heterogeneous Multi-Robot Task Assignment Under Distribution Shifts

Medical superintelligence: foundations and aspirations

Balancing Efficiency and Empathy: Healthcare Providers' Perspectives on AI-Supported Workflows for Serious Illness Conversations in the Emergency Department

Machine Learning to Identify Physician Actions Associated with Patient Experience of Compassion

Prolonged Emergency Department Stays for Older US Adults.

Sleep Interruptions Among Older Adults Admitted to the Hospital

Designing AI Tools for Clinical Care Teams to Support Serious Illness Conversations with Older Adults in the Emergency Department

Cognitive Interviews With Emergency Physicians to Understand Disposition Decisions With People With Dementia With Borderline Cases

The Sepsis ImmunoScore Predicts Sepsis, Mortality, and Deterioration Better than Clinical Scores and Widely Available Biomarkers

Advance Care Planning Engagement of Older Adults in the Emergency Department

Marginal dispositions and shared decision-making among older adults in the ED: a prospective cohort study

Digitalizing English-language CT Interpretation for Positive Haemorrhage Evaluation Reporting: the DECIPHER study

Exploring Patients’ Perceptions of an Advance Care Planning Intervention in the Emergency Department: A Qualitative Study

Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions

From bedside-to-model: designing clinical prediction rules for implementation

Applications of Artificial Intelligence in Helicopter Emergency Medical Services: A Scoping Review.

Automatable end-of-life screening for older adults in the emergency department using electronic health records