ChatGPT, an artificial intelligence chatbot, has rapidly gained prominence in various domains, including medical education and healthcare literature. This hybrid narrative review, conducted collaboratively by human authors and ChatGPT, aims to summarize and synthesize the current knowledge of ChatGPT in the indexed medical literature during its initial four months. A search strategy was employed in PubMed and EuropePMC databases, yielding 65 and 110 papers, respectively. These papers focused on ChatGPT's impact on medical education, scientific research, medical writing, ethical considerations, diagnostic decisionmaking, automation potential, and criticisms. The findings indicate a growing body of literature on ChatGPT's applications and implications in healthcare, highlighting the need for further research to assess its effectiveness and ethical concerns.

This study presents a novel approach to enhance expert panel discussions in a medical conference through the use of ChatGPT-4 (Generative Pre-trained Transformer version 4), a recently launched powerful artificial intelligence (AI) language model. We report on ChatGPT-4's ability to optimize and summarize the medical conference panel recommendations of the first Pan-Arab Pediatric Palliative Critical Care Hybrid Conference, held in Riyadh, Saudi Arabia. ChatGPT-4 was incorporated into the discussions in two sequential phases: first, scenarios were optimized by the AI model to stimulate in-depth conversations; second, the model identified, summarized, and contrasted key themes from the panel and audience discussions. The results suggest that ChatGPT-4 effectively facilitated complex do-not-resuscitate (DNR) conflict resolution by summarizing key themes such as effective communication, collaboration, patient and family-centered care, trust, and ethical considerations. The inclusion of ChatGPT-4 in pediatric palliative care panel discussions demonstrated potential benefits for enhancing critical thinking among medical professionals. Further research is warranted to validate and broaden these insights across various settings and cultures.

In the current post-pandemic era, the rapid spread of respiratory viruses among children and infants resulted in hospitals and pediatric intensive care units (PICUs) becoming overwhelmed. Healthcare providers around the world faced a significant challenge from the outbreak of respiratory viruses like respiratory syncytial virus (RSV), metapneumovirus, and influenza viruses. The chatbot generative pre-trained transformer, ChatGPT, which was launched by OpenAI in November 2022, had both positive and negative aspects in medical writing. Still, it has the potential to generate mitigation suggestions that could be rapidly implemented. We describe the generated suggestion from ChatGPT on 27 Feb 2023 in response to the question "What's your advice for the pediatric intensivists?" We as human authors and healthcare providers, do agree with and supplement with references these suggestions of ChatGPT. We also advocate that artificial intelligence (AI)-enabled chatbots could be utilized in seeking a vigilant and robust healthcare system to rapidly adapt to changing respiratory viruses circulating around the seasons, but AI-generated suggestions need experts to validate them, and further research is warranted.