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This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (614) Clinical Information and Decision Making (3615) e-Cardiology and Telemonitoring in Cardiology (278) Chatbots and Conversational Agents (1151) Cardiac Surgery (36) Theme Issue: Artificial Intelligence (AI) in Nursing (84) AI Language Models in Health Care (716) Signal Processing (26)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/103717, first published .
Doctor holding a futuristic heart model with EKG readout, symbolizing cardiac care.

Nurse-Led Large Language Model Chatbot for Predicting and Preventing Complications After Coronary Artery Bypass Grafting: Protocol for a Randomized Controlled Trial

Nurse-Led Large Language Model Chatbot for Predicting and Preventing Complications After Coronary Artery Bypass Grafting: Protocol for a Randomized Controlled Trial

Authors of this article:

Salini K1 Author Orcid Image ;   Ajee K L1 Author Orcid Image ;   Praveen Kerala Varma2 Author Orcid Image ;   Premjith B3 Author Orcid Image ;   Anila K P1 Author Orcid Image ;   Vandana Agnihotri4 Author Orcid Image ;   Priyalatha Muthu5 Author Orcid Image ;   Renjitha Bhaskaran6 Author Orcid Image ;   Namrata Nair7 Author Orcid Image
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