2026

Predicting Healthcare Utilization Outcomes With Artificial Intelligence: A Large Scoping Review

Preferences for Adopting Artificial Intelligence in Radiation Therapy Treatment: A Discrete Choice Experiment

Long-Term Outcomes and Cost-Effectiveness of Artificial Intelligence for Breast Cancer Screening: A Modeling Study

2025

Exploring Heterogeneity in the Cost-Effectiveness of High-Flow Nasal Cannula Therapy in Acutely Ill Children—Insights From the Step-Up First-line Support for Assistance in Breathing in Children Trial Using a Machine Learning Method

Generative Artificial Intelligence for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations: An ISPOR Working Group Report

Early Budget Impact Analysis of Artificial Intelligence to Support the Review of Radiographic Examinations for Suspected Fractures in National Health Service Emergency Departments

Using Machine Learning to Match Clients and Therapy Providers: Evaluating Clinical Quality and Cost of Care

The Cost-Effectiveness of an Artificial Intelligence-Based Population-Wide Screening Program for Primary Open-Angle Glaucoma in The Netherlands

Unravelling Public Preferences for the Use of Artificial Intelligence Mobile Health Applications in Australia

Roles of Artificial Intelligence–Based Synthetic Data in Health Economics and Outcomes Research

Generative Artificial Intelligence to Automate the Adaptation of Excel Health Economic Models and Word Technical Reports

Role of Generative Artificial Intelligence in Assisting Systematic Review Process in Health Research: A Systematic Review

A4SLR: An Agentic Artificial Intelligence-Assisted Systematic Literature Review Framework to Augment Evidence Synthesis for Health Economics and Outcomes Research and Health Technology Assessment

The “Artificial Intelligence Statistician”: Utilizing Generative Artificial Intelligence to Select an Appropriate Model and Execute Network Meta-Analyses

Use of Large Language Models to Extract Cost-Effectiveness Analysis Data: A Case Study

Validating Loon Lens 1.0 for Autonomous Abstract Screening and Confidence-Guided Human-in-the-Loop Workflows in Systematic Reviews

ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: An ISPOR Working Group Report

A Taxonomy of Generative Artificial Intelligence in Health Economics and Outcomes Research: An ISPOR Working Group Report

2024

Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI)

Traditional Methods Hold Their Ground Against Machine Learning in Predicting Potentially Inappropriate Medication Use in Older Adults

2023

A Scoping Review of the Use of Machine Learning in Health Economics and Outcomes Research: Part 1—Data From Wearable Devices

2022

Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine

Assessing the Economic Value of Clinical Artificial Intelligence: Challenges and Opportunities

Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah

Machine Learning Methods in Health Economics and Outcomes Research—The PALISADE Checklist: A Good Practices Report of an ISPOR Task Force

Predicting Patient-Level 3-Level Version of EQ-5D Index Scores From a Large International Database Using Machine Learning and Regression Methods

Fulfilling the Promise of Artificial Intelligence in the Health Sector: Let's Get Real

A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning–Based Risk Prediction Models

The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge

A Scoping Review of the Use of Machine Learning in Health Economics and Outcomes Research: Part 2—Data From Nonwearables

2020

Machine Learning Improves the Identification of Individuals With Higher Morbidity and Avoidable Health Costs After Acute Coronary Syndromes  

How Good Is Machine Learning in Predicting All-Cause 30-Day Hospital Readmission? Evidence From Administrative Data

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