PDF(Pubmed)
Abstract：
UNASSIGNED: The use of ChatGPT and artificial intelligence (AI) in the management of metabolic and endocrine disorders presents both significant opportunities and notable risks.
UNASSIGNED: To investigate the benefits and risks associated with the application of ChatGPT in managing diabetes and metabolic illnesses by exploring the perspectives of endocrinologists and diabetologists.
UNASSIGNED: The study employed a qualitative research approach. A semi-structured in-depth interview guide was developed. A convenience sample of 25 endocrinologists and diabetologists was enrolled and interviewed. All interviews were audiotaped and verbatim transcribed; then, thematic analysis was used to determine the themes in the data.
UNASSIGNED: The findings of the thematic analysis resulted in 19 codes and 9 major themes regarding the benefits of implementing AI and ChatGPT in managing diabetes and metabolic illnesses. Moreover, the extracted risks of implementing AI and ChatGPT in managing diabetes and metabolic illnesses were categorized into 7 themes and 14 codes. The benefits of heightened diagnostic precision, tailored treatment, and efficient resource utilization have potential to improve patient results. Concurrently, the identification of potential challenges, such as data security concerns and the need for AI that can be explained, enables stakeholders to proactively tackle these issues.
UNASSIGNED: Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. Striking a balance between AI-assisted decision-making and human expertise is essential to uphold trust and provide comprehensive patient care.
Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. The use of ChatGPT in the management of metabolic and endocrine disorders presents both significant opportunities and notable risks. The benefits of heightened diagnostic precision, tailored treatment, and efficient resource utilization have potential to improve patient results. Concurrently, the identification of potential challenges, such as data security concerns and the need for AI that can be explained, enables stakeholders to proactively tackle these issues. Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. Striking a balance between AI-assisted decision-making and human expertise is essential to uphold trust and provide comprehensive patient care.
UNASSIGNED: To investigate the benefits and risks associated with the application of ChatGPT in managing diabetes and metabolic illnesses by exploring the perspectives of endocrinologists and diabetologists.
UNASSIGNED: The study employed a qualitative research approach. A semi-structured in-depth interview guide was developed. A convenience sample of 25 endocrinologists and diabetologists was enrolled and interviewed. All interviews were audiotaped and verbatim transcribed; then, thematic analysis was used to determine the themes in the data.
UNASSIGNED: The findings of the thematic analysis resulted in 19 codes and 9 major themes regarding the benefits of implementing AI and ChatGPT in managing diabetes and metabolic illnesses. Moreover, the extracted risks of implementing AI and ChatGPT in managing diabetes and metabolic illnesses were categorized into 7 themes and 14 codes. The benefits of heightened diagnostic precision, tailored treatment, and efficient resource utilization have potential to improve patient results. Concurrently, the identification of potential challenges, such as data security concerns and the need for AI that can be explained, enables stakeholders to proactively tackle these issues.
UNASSIGNED: Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. Striking a balance between AI-assisted decision-making and human expertise is essential to uphold trust and provide comprehensive patient care.
Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. The use of ChatGPT in the management of metabolic and endocrine disorders presents both significant opportunities and notable risks. The benefits of heightened diagnostic precision, tailored treatment, and efficient resource utilization have potential to improve patient results. Concurrently, the identification of potential challenges, such as data security concerns and the need for AI that can be explained, enables stakeholders to proactively tackle these issues. Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. Striking a balance between AI-assisted decision-making and human expertise is essential to uphold trust and provide comprehensive patient care.
摘要：
■在代谢和内分泌疾病的管理中使用ChatGPT和人工智能（AI）既存在重大机遇，也存在明显风险。
■通过探索内分泌学家和糖尿病学家的观点，调查与ChatGPT在管理糖尿病和代谢性疾病中的应用相关的益处和风险。
■这项研究采用了定性研究方法。开发了半结构化的深度访谈指南。纳入25名内分泌学家和糖尿病学家的便利样本并进行了采访。所有采访都是录音和逐字转录的；然后，主题分析用于确定数据中的主题。
主题分析的结果得出了19个代码和9个主要主题，涉及实施AI和ChatGPT在管理糖尿病和代谢疾病方面的益处。此外，在糖尿病和代谢性疾病管理中实施AI和ChatGPT的风险被分为7个主题和14个代码.提高诊断精度的好处，量身定制的治疗，和有效的资源利用有可能改善患者的结果。同时,识别潜在的挑战，例如数据安全问题和对可以解释的人工智能的需求，使利益相关者能够主动解决这些问题。
■监管框架必须不断发展，以跟上AI在医疗保健中的快速采用。持续关注道德考虑，包括获得患者的同意,保护数据隐私，确保问责制，促进公平，仍然至关重要。尽管它对人类医疗保健方面的潜在影响，人工智能将继续成为以患者为中心的护理的一个组成部分。在人工智能辅助决策和人类专业知识之间取得平衡对于维护信任和提供全面的患者护理至关重要。
监管框架必须不断发展，以跟上AI在医疗保健中的快速采用。持续关注道德考虑，包括获得患者的同意,保护数据隐私，确保问责制，促进公平，仍然至关重要。尽管它对人类医疗保健方面的潜在影响，人工智能将继续成为以患者为中心的护理的一个组成部分。在代谢和内分泌疾病的管理中使用ChatGPT既存在重要的机会，也存在明显的风险。提高诊断精度的好处，量身定制的治疗，和有效的资源利用有可能改善患者的结果。同时,识别潜在的挑战，例如数据安全问题和对可以解释的人工智能的需求，使利益相关者能够主动解决这些问题。监管框架必须不断发展，以跟上人工智能在医疗保健中的快速采用。持续关注道德考虑，包括获得患者的同意,保护数据隐私，确保问责制，促进公平，仍然至关重要。尽管它对人类医疗保健方面的潜在影响，人工智能将继续成为以患者为中心的护理的一个组成部分。在人工智能辅助决策和人类专业知识之间取得平衡对于维护信任和提供全面的患者护理至关重要。
■通过探索内分泌学家和糖尿病学家的观点，调查与ChatGPT在管理糖尿病和代谢性疾病中的应用相关的益处和风险。
■这项研究采用了定性研究方法。开发了半结构化的深度访谈指南。纳入25名内分泌学家和糖尿病学家的便利样本并进行了采访。所有采访都是录音和逐字转录的；然后，主题分析用于确定数据中的主题。
主题分析的结果得出了19个代码和9个主要主题，涉及实施AI和ChatGPT在管理糖尿病和代谢疾病方面的益处。此外，在糖尿病和代谢性疾病管理中实施AI和ChatGPT的风险被分为7个主题和14个代码.提高诊断精度的好处，量身定制的治疗，和有效的资源利用有可能改善患者的结果。同时,识别潜在的挑战，例如数据安全问题和对可以解释的人工智能的需求，使利益相关者能够主动解决这些问题。
■监管框架必须不断发展，以跟上AI在医疗保健中的快速采用。持续关注道德考虑，包括获得患者的同意,保护数据隐私，确保问责制，促进公平，仍然至关重要。尽管它对人类医疗保健方面的潜在影响，人工智能将继续成为以患者为中心的护理的一个组成部分。在人工智能辅助决策和人类专业知识之间取得平衡对于维护信任和提供全面的患者护理至关重要。
监管框架必须不断发展，以跟上AI在医疗保健中的快速采用。持续关注道德考虑，包括获得患者的同意,保护数据隐私，确保问责制，促进公平，仍然至关重要。尽管它对人类医疗保健方面的潜在影响，人工智能将继续成为以患者为中心的护理的一个组成部分。在代谢和内分泌疾病的管理中使用ChatGPT既存在重要的机会，也存在明显的风险。提高诊断精度的好处，量身定制的治疗，和有效的资源利用有可能改善患者的结果。同时,识别潜在的挑战，例如数据安全问题和对可以解释的人工智能的需求，使利益相关者能够主动解决这些问题。监管框架必须不断发展，以跟上人工智能在医疗保健中的快速采用。持续关注道德考虑，包括获得患者的同意,保护数据隐私，确保问责制，促进公平，仍然至关重要。尽管它对人类医疗保健方面的潜在影响，人工智能将继续成为以患者为中心的护理的一个组成部分。在人工智能辅助决策和人类专业知识之间取得平衡对于维护信任和提供全面的患者护理至关重要。
