AIMC Topic: Economics, Medical
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Machine Learning-Assisted Health Economics and Policy Reviews: A Comparative Assessment.
Applied health economics and health policy
Mar 28, 2025
INTRODUCTION: The growth of scientific literature in health economics and policy represents a challenge for researchers conducting literature reviews. This study explores the adoption of a machine learning (ML) tool to enhance title and abstract scre...
Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI).
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
May 23, 2024
OBJECTIVES: Economic evaluations (EEs) are commonly used by decision makers to understand the value of health interventions. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS 2022) provide reporting guidelines for EEs. Healthcar...
Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research.
BMC medical research methodology
May 9, 2024
OBJECTIVE: Systematic literature reviews (SLRs) are critical for life-science research. However, the manual selection and retrieval of relevant publications can be a time-consuming process. This study aims to (1) develop two disease-specific annotate...
Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles?
Expert review of pharmacoeconomics & outcomes research
Aug 13, 2023
OBJECTIVES: Artificial intelligence-powered tools, such as ASReview, could reduce the burden of title and abstract screening. This study aimed to assess the accuracy and efficiency of using ASReview in a health economic context.
Using early health economic modeling to inform medical innovation development: a soft robotic sock in poststroke patients in Singapore.
International journal of technology assessment in health care
Jan 11, 2023
OBJECTIVES: Based on a real-world collaboration with innovators in applying early health economic modeling, we aimed to offer practical steps that health technology assessment (HTA) researchers and innovators can follow and promote the usage of early...
Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Dec 16, 2021
OBJECTIVES: This study aimed to systematically review recent health economic evaluations (HEEs) of artificial intelligence (AI) applications in healthcare. The aim was to discuss pertinent methods, reporting quality and challenges for future implemen...
Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation.
Annual review of biomedical engineering
Mar 1, 2019
Medical robotics is poised to transform all aspects of medicine-from surgical intervention to targeted therapy, rehabilitation, and hospital automation. A key area is the development of robots for minimally invasive interventions. This review provide...
Machine learning approaches for predicting high cost high need patient expenditures in health care.
Biomedical engineering online
Nov 20, 2018
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state Medicaid program. Predictive machine learning models were used to forecast the expenditures, especially for the high-cost, high-need (HCHN) patients.
Machine Learning Methods in Health Economics and Outcomes Research-The PALISADE Checklist: A Good Practices Report of an ISPOR Task Force.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Jul 1, 2022
Advances in machine learning (ML) and artificial intelligence offer tremendous potential benefits to patients. Predictive analytics using ML are already widely used in healthcare operations and care delivery, but how can ML be used for health economi...
Glaucoma screening: where are we and where do we need to go?
Current opinion in ophthalmology
Mar 1, 2020
PURPOSE OF REVIEW: Current recommendations for glaucoma screening are decidedly neutral. No studies have yet documented improved long-term outcomes for individuals who undergo glaucoma screening versus those who do not. Given the long duration that w...
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