Article Dans Une Revue European Heart Journal - Digital Health Année : 2026

Artificial intelligence adoption in French cardiovascular care: a multiprofessional survey of barriers and facilitators

1 University Hospital of Poitiers
2 UR UFRS - Université de La Réunion - UFR Santé
3 Groupe Hospitalier Intercommunal Le Raincy-Montfermeil
4 Hôpitaux de Chartres [Chartres]
5 DéTROI - Diabète athérothrombose et thérapies Réunion Océan Indien
6 University Hospital of La Réunion
7 CHU Pitié-Salpêtrière [AP-HP]
8 AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP)
9 National Union of Cardiologists
10 CHU Saint-Antoine [AP-HP]
11 CHU Tenon [AP-HP]
12 SU - Sorbonne Université
13 HCL - Hospices Civils de Lyon
14 Mohammed V University of Rabat
15 CHU Strasbourg - Centre Hospitalier Universitaire [Strasbourg]
16 PEC2 - Physiopathologie et épidémiologie cérébro-cardiovasculaires [Dijon]
17 Service de Cardiologie [CHU de Dijon]
18 Hôpital Marie-Lannelongue
19 French Society of Cardiology
20 Hôpital Bicêtre [AP-HP, Le Kremlin-Bicêtre]
21 AP-HP, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU 4 CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, Université Paris-Saclay, Le Kremlin-Bicêtre, France
22 DCAC - Défaillance Cardiovasculaire Aiguë et Chronique
23 CIC-P - Centre d'investigation clinique plurithématique Pierre Drouin [Nancy]
24 INI-CRCT - Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy]
25 Cardiovascular & Renal Clinical Trialists - CRCT - French-Clinical Research Infrastructure Network - F-CRIN [Paris]
26 Hôpital Lariboisière-Fernand-Widal [APHP]
27 UPCité - Université Paris Cité
28 CHU Amiens-Picardie
29 CHU Bordeaux - Centre Hospitalier Universitaire de Bordeaux
30 UB - Université de Bordeaux
31 Paul d'Égine Private Hospital
32 Cardio Nîmes Sud
33 Hôpital-Clinique Claude-Bernard [Metz]
34 HPP - Hôpital Privé de Provence [Aix-en-Provence]
35 CHU La Réunion - Centre Hospitalier Universitaire de La Réunion
36 CIC 1410 - Centre d'Investigation Clinique de La Réunion - INSERM
Nabil Bouali
Marc Villaceque

Résumé

Abstract Aims Responsible adoption of artificial intelligence (AI) in cardiology remains uneven. We aimed to map knowledge, attitudes, beliefs and practices among cardiovascular professionals in France and to identify levers for implementation. Methods and results We conducted a national multiprofessional survey across cardiovascular care from 4 December 2024 to 1 March 2025. Prespecified outcomes included regular use in practice, confidence in diagnostic outputs, performance expectations, training needs, and social influence. Seven hundred fifty-six professionals completed the survey (58.2% cardiologists, 24.3% allied-health professionals, 17.8% other professionals; median age 37 years; 46.7% women). AI use was reported as regular (≥ weekly) by 23%, occasionally by 40%, and none by 37%; only 7.8% had formal AI training. Use concentrated on AI-assisted imaging (32%) and patient monitoring/management (18%). The most valued benefit was improved diagnostic accuracy (29%); leading concerns were algorithmic bias (29.9%) and data privacy (28.2%). Explainability increased confidence (among cardiologists, high confidence 64% in therapeutic contexts vs. 84% with explanations). In multivariable analyses, prior training (aOR 3.22, 95% CI 1.60–6.55), research involvement (2.94, 1.90–4.58), and male sex (1.64, 1.05–2.59) were associated with higher use, while age > 40 years was associated with lower use (0.62, 0.40–0.96). Allied-health professionals reported lower social influence and training needs. Conclusion Adoption of AI in cardiology remains limited, and four levers emerged for responsible scale-up: Training (education), Explainability (transparent outputs), Integration (workflow embedding), and Accompaniment (peer support, evaluation). These priorities should guide education, governance, and procurement strategies.

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hal-05622134 , version 1 (13-05-2026)

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Nabil Bouali, Séverine Domart, Walid Amara, Christophe Laure, Floran Begue, et al.. Artificial intelligence adoption in French cardiovascular care: a multiprofessional survey of barriers and facilitators. European Heart Journal - Digital Health, 2026, 7 (4), ⟨10.1093/ehjdh/ztag042⟩. ⟨hal-05622134⟩
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