Antoine Lacombe

Assistant de recherche , Aix-Marseille Université , Faculté d'économie et de gestion (FEG)

Doctorat: An understanding of willingness to test for several diseases using behavioral economics tools
Depuis 2022, sous la direction de Sylvie Boyer, Bruno Ventelou
Téléchargement: CV
Contact: antoine.lacombe[at]univ-amu.fr
Adresse: AMU - AMSE
5-9 Boulevard Maurice Bourdet, CS 50498
13205 Marseille Cedex 1

Article de revue

Does improving diagnostic accuracy increase artificial intelligence adoption? A public acceptance survey using randomized scenarios of diagnostic methods

Yulin Hswen, Ismaël Rafaï, Antoine Lacombe, Bérengère Davin-Casalena, Dimitri Dubois, Thierry Blayac, Bruno Ventelou, Artificial Intelligence in Health, 10/2024

Résumé This study examines the acceptance of artificial intelligence (AI)-based diagnostic alternatives compared to traditional biological testing through a randomized scenario experiment in the domain of neurodegenerative diseases (NDs). A total of 3225 pairwise choices of ND risk-prediction tools were offered to participants, with 1482 choices comparing AI with the biological saliva test and 1743 comparing AI+ with the saliva test (with AI+ using digital consumer data, in addition to electronic medical data). Overall, only 36.68% of responses showed preferences for AI/AI+ alternatives. Stratified by AI sensitivity levels, acceptance rates for AI/AI+ were 35.04% at 60% sensitivity and 31.63% at 70% sensitivity, and increased markedly to 48.68% at 95% sensitivity (p

Mots clés Artificial intelligence, AI diagnostics, Neurodegenerative diseases, Machine learning

Publication HAL Google Scholar