Prevention, Intervention and Care of Neurodegenerative Diseases

Bakirtzis, Christos; Boziki, Marina-Kleopatra; Grigoriadis, Nikolaos

doi:10.3390/healthcare11162349

Healthcare

2023

DOI: 10.3390/healthcare11162349

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Prevention, Intervention and Care of Neurodegenerative Diseases

Christos Bakirtzis,

Marina-Kleopatra Boziki,

Nikolaos Grigoriadis

Abstract: Chronic neurodegenerative diseases encompass a wide spectrum of disorders and affect millions of people worldwide [...]

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2024

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Cited by 1 publication

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When algorithms replace biologists: A Discrete Choice Experiment for the valuation of risk-prediction tools in Neurodegenerative Diseases

Rafaï,

Davin-Casalena,

Dubois

et al. 2024

Preprint

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Background. Earlier detection of neurodegenerative diseases may help patients plan for their future, achieve a better quality of life, access clinical trials and possible future disease modifying treatments. Due to recent advances in artificial intelligence (AI), a significant help can come from the computational approaches targeting diagnosis and monitoring. Yet, detection tools are still underused. We aim to investigate the factors influencing individual valuation of AI-based prediction tools. Methods. We study individual valuation for early diagnosis tests for neurodegenerative diseases when Artificial Intelligence Diagnosis is an option. We conducted a Discrete Choice Experiment on a representative sample of the French adult public (N = 1017), where we presented participants with a hypothetical risk of developing in the future a neurodegenerative disease. We ask them to repeatedly choose between two possible early diagnosis tests that differ in terms of (1) type of test (biological tests vs AI tests analyzing electronic health records); (2) identity of whom communicates tests’ results; (3) sensitivity; (4) specificity; and (5) price. We study the weight in the decision for each attribute and how socio-demographic characteristics influence them. Results. Our results are twofold: respondents indeed reveal a reduced utility value when AI testing is at stake (that is evaluated to 36.08 euros in average, IC = [22.13; 50.89]) and when results are communicated by a private company (95.15 €, IC = [82.01; 109.82]). Conclusion. We interpret these figures as the shadow price that the public attaches to medical data privacy. The general public is still reluctant to adopt AI screening on their health data, particularly when these screening tests are carried out on large sets of personal data.

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When algorithms replace biologists: A Discrete Choice Experiment for the valuation of risk-prediction tools in Neurodegenerative Diseases

Rafaï,

Davin-Casalena,

Dubois

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

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Prevention, Intervention and Care of Neurodegenerative Diseases

Abstract: Chronic neurodegenerative diseases encompass a wide spectrum of disorders and affect millions of people worldwide [...]

Cited by 1 publication

References 18 publications

When algorithms replace biologists: A Discrete Choice Experiment for the valuation of risk-prediction tools in Neurodegenerative Diseases

When algorithms replace biologists: A Discrete Choice Experiment for the valuation of risk-prediction tools in Neurodegenerative Diseases

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