Temsah Mohamad-Hani, Jamal Amr, Aljamaan Fadi, Al-Tawfiq Jaffar A, Al-Eyadhy Ayman
Pediatric Intensive Care Unit, Department of Pediatrics, King Saud University Medical City, College of Medicine, King Saud University, Riyadh, SAU.
Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, SAU.
Cureus. 2023 May 23;15(5):e39384. doi: 10.7759/cureus.39384. eCollection 2023 May.
The fusion of insights from the comprehensive global burden of disease (GBD) study and the advanced artificial intelligence of open artificial intelligence (AI) chat generative pre-trained transformer version 4 (ChatGPT-4) brings the potential to transform personalized healthcare planning. By integrating the data-driven findings of the GBD study with the powerful conversational capabilities of ChatGPT-4, healthcare professionals can devise customized healthcare plans that are adapted to patients' lifestyles and preferences. We propose that this innovative partnership can lead to the creation of a novel AI-assisted personalized disease burden (AI-PDB) assessment and planning tool. For the successful implementation of this unconventional technology, it is crucial to ensure continuous and accurate updates, expert supervision, and address potential biases and limitations. Healthcare professionals and stakeholders should have a balanced and dynamic approach, emphasizing interdisciplinary collaborations, data accuracy, transparency, ethical compliance, and ongoing training. By investing in the unique strengths of both ChatGPT-4, especially its newly introduced features such as live internet browsing or plugins, and the GBD study, we may enhance personalized healthcare planning. This innovative approach has the potential to improve patient outcomes and optimize resource utilization, as well as pave the way for the worldwide implementation of precision medicine, thereby revolutionizing the existing healthcare landscape. However, to fully harness these benefits at both the global and individual levels, further research and development are warranted. This will ensure that we effectively tap into the potential of this synergy, bringing societies closer to a future where personalized healthcare is the norm rather than the exception.
全球疾病负担（GBD）综合研究的见解与开放人工智能（AI）聊天生成预训练变换器版本4（ChatGPT-4）的先进人工智能技术相融合，为变革个性化医疗规划带来了潜力。通过将GBD研究中数据驱动的结果与ChatGPT-4强大的对话能力相结合，医疗专业人员可以制定出适合患者生活方式和偏好的定制化医疗计划。我们建议，这种创新的合作关系能够促成一种新型的人工智能辅助个性化疾病负担（AI-PDB）评估与规划工具的诞生。为了成功实施这项非传统技术，确保持续且准确的更新、专家监督以及解决潜在的偏差和局限性至关重要。医疗专业人员和利益相关者应采取平衡且动态的方法，强调跨学科合作、数据准确性、透明度、道德合规性以及持续培训。通过利用ChatGPT-4的独特优势（尤其是其新引入的功能，如实时互联网浏览或插件）以及GBD研究，我们或许能够加强个性化医疗规划。这种创新方法有潜力改善患者预后并优化资源利用，还能为精准医学在全球的实施铺平道路，从而彻底改变现有的医疗格局。然而，为了在全球和个体层面充分利用这些益处，还需要进一步的研究与开发。这将确保我们有效地挖掘这种协同作用的潜力，使社会更接近一个个性化医疗成为常态而非例外的未来。
