OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 13.03.2026, 11:57

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.

Can DALL-E 3 Reliably Generate 12-Lead ECGs and Teaching Illustrations?

2024·20 Zitationen·CureusOpen Access
Volltext beim Verlag öffnen

20

Zitationen

5

Autoren

2024

Jahr

Abstract

The recent integration of the latest image generation model DALL-E 3 into ChatGPT allows text prompts to easily generate the corresponding images, enabling multimodal output from ChatGPT. We explored the feasibility of DALL-E 3 for drawing a 12-lead ECG and found that it can draw rudimentary 12-lead electrocardiograms (ECG) displaying some of the parameters, although the details are not completely accurate. We also explored DALL-E 3's capacity to create vivid illustrations for teaching resuscitation-related medical knowledge. DALL-E 3 produced accurate CPR illustrations emphasizing proper hand placement and technique. For ECG principles, it produced creative heart-shaped waveforms tying ECGs to the heart. With further training, DALL-E 3 shows promise to expand easy-to-understand visual medical teaching materials and ECG simulations for different disease states. In conclusion, DALL-E 3 has the potential to generate realistic 12-lead ECGs and teaching schematics, but expert validation is still needed.

Ähnliche Arbeiten

Autoren

Institutionen

Themen

Cardiac Arrest and ResuscitationArtificial Intelligence in Healthcare and EducationPhonocardiography and Auscultation Techniques
Volltext beim Verlag öffnen