Can Chatbot Artificial Intelligence Replace Infectious Diseases Physicians in the Management of Bloodstream Infections? A Prospective Cohort Study

© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..

BACKGROUND: The development of chatbot artificial intelligence (AI) has raised major questions about their use in healthcare. We assessed the quality and safety of the management suggested by Chat Generative Pre-training Transformer 4 (ChatGPT-4) in real-life practice for patients with positive blood cultures.

METHODS: Over a 4-week period in a tertiary care hospital, data from consecutive infectious diseases (ID) consultations for a first positive blood culture were prospectively provided to ChatGPT-4. Data were requested to propose a comprehensive management plan (suspected/confirmed diagnosis, workup, antibiotic therapy, source control, follow-up). We compared the management plan suggested by ChatGPT-4 with the plan suggested by ID consultants based on literature and guidelines. Comparisons were performed by 2 ID physicians not involved in patient management.

RESULTS: Forty-four cases with a first episode of positive blood culture were included. ChatGPT-4 provided detailed and well-written responses in all cases. AI's diagnoses were identical to those of the consultant in 26 (59%) cases. Suggested diagnostic workups were satisfactory (ie, no missing important diagnostic tests) in 35 (80%) cases; empirical antimicrobial therapies were adequate in 28 (64%) cases and harmful in 1 (2%). Source control plans were inadequate in 4 (9%) cases. Definitive antibiotic therapies were optimal in 16 (36%) patients and harmful in 2 (5%). Overall, management plans were considered optimal in only 1 patient, as satisfactory in 17 (39%), and as harmful in 7 (16%).

CONCLUSIONS: The use of ChatGPT-4 without consultant input remains hazardous when seeking expert medical advice in 2023, especially for severe IDs.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:78

Enthalten in:

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America - 78(2024), 4 vom: 10. Apr., Seite 825-832

Sprache:

Englisch

Beteiligte Personen:

Maillard, Alexis [VerfasserIn]
Micheli, Giulia [VerfasserIn]
Lefevre, Leila [VerfasserIn]
Guyonnet, Cécile [VerfasserIn]
Poyart, Claire [VerfasserIn]
Canouï, Etienne [VerfasserIn]
Belan, Martin [VerfasserIn]
Charlier, Caroline [VerfasserIn]

Links:

Volltext

Themen:

Artificial intelligence
Bacteremia
ChatGPT
Evaluation
Infectious diseases
Journal Article

Anmerkungen:

Date Completed 12.04.2024

Date Revised 12.04.2024

published: Print

Citation Status MEDLINE

doi:

10.1093/cid/ciad632

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM363164618