no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
1 |
A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning–Based Risk Prediction Models
|
Rodriguez, Patricia J. |
|
|
25 |
3 |
p. 350-358 |
article |
2 |
Assessing Payers’ Preferences for Real-World Evidence in the United States: A Discrete Choice Experiment
|
Saldarriaga, Enrique M. |
|
|
25 |
3 |
p. 443-450 |
article |
3 |
Assessing the Economic Value of Clinical Artificial Intelligence: Challenges and Opportunities
|
Hendrix, Nathaniel |
|
|
25 |
3 |
p. 331-339 |
article |
4 |
CDX2 Biomarker Testing and Adjuvant Therapy for Stage II Colon Cancer: An Exploratory Cost-Effectiveness Analysis
|
Alarid-Escudero, Fernando |
|
|
25 |
3 |
p. 409-418 |
article |
5 |
Copyright/Subscription
|
|
|
|
25 |
3 |
p. v |
article |
6 |
Does Every Minute Really Count? Road Time as an Indicator for the Economic Value of Emergency Medical Services
|
Swan, David |
|
|
25 |
3 |
p. 400-408 |
article |
7 |
Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine
|
Yakar, Derya |
|
|
25 |
3 |
p. 374-381 |
article |
8 |
Economic Evaluation of National Patient Blood Management Clinical Guidelines in Cardiac Surgery
|
Irving, Adam H. |
|
|
25 |
3 |
p. 419-426 |
article |
9 |
Editorial Board
|
|
|
|
25 |
3 |
p. vi |
article |
10 |
Estimating the Economic Value of CDX2 as a Predictive Biomarker to Guide Treatment Decisions in Stage II Colon Cancer
|
Dalerba, Piero |
|
|
25 |
3 |
p. 382-384 |
article |
11 |
Fulfilling the Promise of Artificial Intelligence in the Health Sector: Let’s Get Real
|
Hashiguchi, Tiago Cravo Oliveira |
|
|
25 |
3 |
p. 368-373 |
article |
12 |
Genetic-Guided Pharmacotherapy for Atrial Fibrillation: A Systematic and Critical Review of Economic Evaluations
|
Kamil, Ahmad Amir |
|
|
25 |
3 |
p. 461-472 |
article |
13 |
Incentivizing Prescription Drug Switching to Reduce Patient and Health Plan Spending: A Microsimulation Model
|
Yeung, Kai |
|
|
25 |
3 |
p. 427-434 |
article |
14 |
Investigating 5-Level EQ-5D (EQ-5D-5L) Values Based on Preferences of Patients With Heart Disease
|
Gandhi, Mihir |
|
|
25 |
3 |
p. 451-460 |
article |
15 |
Key Considerations in the Health Technology Assessment of Advanced Therapy Medicinal Products in Scotland, The Netherlands, and England
|
ten Ham, Renske M.T. |
|
|
25 |
3 |
p. 390-399 |
article |
16 |
Performance of the UK Prospective Diabetes Study Outcomes Model 2 in a Contemporary UK Type 2 Diabetes Trial Cohort
|
Keng, Mi Jun |
|
|
25 |
3 |
p. 435-442 |
article |
17 |
Reviewer Acknowledgment
|
|
|
|
25 |
3 |
p. 321-327 |
article |
18 |
Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah
|
Voets, Madelon M. |
|
|
25 |
3 |
p. 340-349 |
article |
19 |
Table of Contents
|
|
|
|
25 |
3 |
p. i-iv |
article |
20 |
The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge
|
de Vos, Juliette |
|
|
25 |
3 |
p. 359-367 |
article |
21 |
The Use of Cost-Effectiveness Thresholds for Evaluating Health Interventions in Low- and Middle-Income Countries From 2015 to 2020: A Review
|
Kazibwe, Joseph |
|
|
25 |
3 |
p. 385-389 |
article |
22 |
The Value of Artificial Intelligence for Healthcare Decision Making—Lessons Learned
|
Whicher, Danielle |
|
|
25 |
3 |
p. 328-330 |
article |