| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('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
|
artikel
|
| 2 |
Assessing Payers’ Preferences for Real-World Evidence in the United States: A Discrete Choice Experiment
|
Saldarriaga, Enrique M.
|
|
|
25 |
3 |
p. 443-450
|
artikel
|
| 3 |
Assessing the Economic Value of Clinical Artificial Intelligence: Challenges and Opportunities
|
Hendrix, Nathaniel
|
|
|
25 |
3 |
p. 331-339
|
artikel
|
| 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
|
artikel
|
| 5 |
Copyright/Subscription
|
|
|
|
25 |
3 |
p. v
|
artikel
|
| 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
|
artikel
|
| 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
|
artikel
|
| 8 |
Economic Evaluation of National Patient Blood Management Clinical Guidelines in Cardiac Surgery
|
Irving, Adam H.
|
|
|
25 |
3 |
p. 419-426
|
artikel
|
| 9 |
Editorial Board
|
|
|
|
25 |
3 |
p. vi
|
artikel
|
| 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
|
artikel
|
| 11 |
Fulfilling the Promise of Artificial Intelligence in the Health Sector: Let’s Get Real
|
Hashiguchi, Tiago Cravo Oliveira
|
|
|
25 |
3 |
p. 368-373
|
artikel
|
| 12 |
Genetic-Guided Pharmacotherapy for Atrial Fibrillation: A Systematic and Critical Review of Economic Evaluations
|
Kamil, Ahmad Amir
|
|
|
25 |
3 |
p. 461-472
|
artikel
|
| 13 |
Incentivizing Prescription Drug Switching to Reduce Patient and Health Plan Spending: A Microsimulation Model
|
Yeung, Kai
|
|
|
25 |
3 |
p. 427-434
|
artikel
|
| 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
|
artikel
|
| 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
|
artikel
|
| 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
|
artikel
|
| 17 |
Reviewer Acknowledgment
|
|
|
|
25 |
3 |
p. 321-327
|
artikel
|
| 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
|
artikel
|
| 19 |
Table of Contents
|
|
|
|
25 |
3 |
p. i-iv
|
artikel
|
| 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
|
artikel
|
| 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
|
artikel
|
| 22 |
The Value of Artificial Intelligence for Healthcare Decision Making—Lessons Learned
|
Whicher, Danielle
|
|
|
25 |
3 |
p. 328-330
|
artikel
|
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