AIMC Topic: Quality-Adjusted Life Years
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Patient selection for proton therapy: a radiobiological fuzzy Markov model incorporating robust plan analysis.
Physical and engineering sciences in medicine
Feb 10, 2020
While proton therapy can offer increased sparing of healthy tissue compared with X-ray therapy, it can be difficult to predict whether a benefit can be expected for an individual patient. Predictive modelling may aid in this respect. However, the pre...
Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: evaluation of a machine learning risk prediction algorithm.
Journal of medical economics
Jan 10, 2020
As many cases of atrial fibrillation (AF) are asymptomatic, patients often remain undiagnosed until complications (e.g. stroke) manifest. Risk-prediction algorithms may help to efficiently identify people with undiagnosed AF. However, the cost-effec...
Artificial neural network metamodel for sensitivity analysis in a total hip replacement health economic model.
Expert review of pharmacoeconomics & outcomes research
Sep 13, 2019
: Metamodels have been used to approximate complex simulations and have many applications with sensitivity analysis, optimization, etc. However, their use in health economics is very limited. Application of artificial neural network (ANN) with a heal...
Broadening the Perspective of Cost-Effectiveness Modeling in Chronic Obstructive Pulmonary Disease: A New Patient-Level Simulation Model Suitable to Evaluate Stratified Medicine.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Dec 20, 2018
OBJECTIVES: To develop a health economic model that included a great diversity of patient characteristics and outcomes for chronic obstructive pulmonary disease (COPD), which can be used to inform decisions about stratified medicine in COPD.
Robot Assisted Training for the Upper Limb after Stroke (RATULS): study protocol for a randomised controlled trial.
Trials
Jul 20, 2017
BACKGROUND: Loss of arm function is a common and distressing consequence of stroke. We describe the protocol for a pragmatic, multicentre randomised controlled trial to determine whether robot-assisted training improves upper limb function following ...
Health Care Costs
Upper Extremity
Stroke Rehabilitation
Clinical Protocols
Models, Economic
Quality-Adjusted Life Years
United Kingdom
State Medicine
Time Factors
Humans
Disability Evaluation
Treatment Outcome
Research Design
Recovery of Function
Stroke
Biomechanical Phenomena
Robotics
Exercise Therapy
Quality of Life
Cost-Benefit Analysis
Can Robot-Assisted Unicompartmental Knee Arthroplasty Be Cost-Effective? A Markov Decision Analysis.
The Journal of arthroplasty
Oct 26, 2015
BACKGROUND: Unicompartmental knee arthroplasty (UKA) is a treatment option for single-compartment knee osteoarthritis. Robotic assistance may improve survival rates of UKA, but the cost-effectiveness of robot-assisted UKA is unknown. The purpose of t...
Clinical and economic effectiveness of Schroth therapy in adolescent idiopathic scoliosis: insights from a machine learning- and active learning-based real-world study.
Journal of orthopaedic surgery and research
May 27, 2025
BACKGROUND: Adolescent idiopathic scoliosis (AIS) is a prevalent musculoskeletal condition affecting approximately 2-3% of the adolescent population. Although exercise-based therapeutic interventions are increasingly employed as non-surgical alternat...
Cost-effectiveness of opportunistic osteoporosis screening using chest radiographs with deep learning in Germany.
Aging clinical and experimental research
May 13, 2025
BACKGROUND: Osteoporosis is often underdiagnosed due to limitations in traditional screening methods, leading to missed early intervention opportunities. AI-driven screening using chest radiographs could improve early detection, reduce fracture risk,...
Protocol for evaluating the cost-effectiveness of Mongolia's sugar-sweetened beverages tax using double machine learning.
PloS one
Jan 1, 2025
Elevated consumption of sugar-sweetened beverages (SSBs) has been associated with an increase in obesity, type 2 diabetes, and other non-communicable diseases (NCDs), a significant health and economic burden on Mongolia. To address this, the governme...
Software with artificial intelligence-derived algorithms for analysing CT brain scans in people with a suspected acute stroke: a systematic review and cost-effectiveness analysis.
Health technology assessment (Winchester, England)
Mar 1, 2024
BACKGROUND: Artificial intelligence-derived software technologies have been developed that are intended to facilitate the review of computed tomography brain scans in patients with suspected stroke.
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