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Almazyad, Mohammed; Aljofan, Fahad; Abouammoh, Noura A; Muaygil, Ruaim; Malki, Khalid H; Aljamaan, Fadi; Alturki, Abdullah; Alayed, Tareq; Alshehri, Saleh S; Alrbiaan, Abdullah; Alsatrawi, Mohammed; Temsah, Hazar A; Alsohime, Fahad; Alhaboob, Ali A; Alabdulhafid, Majed; Jamal, Amr; Alhasan, Khalid; Al-Eyadhy, Ayman; Temsah, Mohamad-Hani
Curēus, 04/2023, Volume: 15, Issue: 4Journal Article
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.
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