变革远程皮肤病学:探索人工智能的整合,包括 GPT 聊天机器人用于人工智能驱动的病史分析、诊断和治疗计划。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-09-01 DOI:10.1016/j.clindermatol.2024.06.020
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引用次数: 0

摘要

远程皮肤病学和人工智能(AI)的融合标志着皮肤病护理领域的重大进步。本研究探讨了这两个领域之间的协同作用,强调了它们对提高远程皮肤科服务的准确性、可及性和效率的共同影响。远程皮肤病学将皮肤病学护理扩展到偏远和服务不足的地区,而人工智能技术在分析皮肤病学图像和执行远程皮肤病学咨询所涉及的各种任务方面显示出巨大的潜力。这种整合有助于快速、精确的诊断、个性化的治疗方案和数据驱动的洞察力。我们的探索性研究包括设计一个基于 GPT 的聊天机器人 "Dermbot 医生",并探索其在远程皮肤科会诊过程中的表现。设计阶段的重点是聊天机器人自主进行咨询的能力。随后的测试阶段以目前的远程皮肤病学实践为背景,对其性能进行了评估,探索了人工智能和聊天机器人在模拟和潜在增强远程皮肤病学医疗保健方面的潜力。这项研究展示了远程皮肤科与人工智能相结合的美好前景。它还揭示了伦理和法律问题,包括保护患者数据隐私和遵守监管标准。远程皮肤病学与人工智能的结合不仅旨在提高远程皮肤病学诊断的精确度,还能扩大皮肤病学服务的可及性,使以前得不到充分服务的人群也能享受到服务,从而使患者、医疗服务提供者和整个医疗系统受益。
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Revolutionizing teledermatology: Exploring the integration of artificial intelligence, including Generative Pre-trained Transformer chatbots for artificial intelligence-driven anamnesis, diagnosis, and treatment plans
The integration of teledermatology and artificial intelligence (AI) marks a significant advancement in dermatologic care. This study examines the synergistic interplay between these two domains, highlighting their collective impact on enhancing the accuracy, accessibility, and efficiency of teledermatologic services. Teledermatology expands dermatologic care to remote and underserved areas, and AI technologies show considerable potential in analyzing dermatologic images and performing various tasks involved in teledermatology consultations. Such integration facilitates rapid, precise diagnoses, personalized treatment plans, and data-driven insights. Our explorative study involved designing a GPT-based chatbot named “Dr. DermBot” and exploring its performance in a teledermatologic consultation process. The design phase focused on the chatbot's ability to conduct consultations autonomously. The subsequent testing phase assessed its performance against the backdrop of current teledermatologic practices, exploring the potential of AI and chatbots to simulate and potentially enhance teledermatologic health care. Our study demonstrates the promising future of combining teledermatology with AI. It also brings to light ethical and legal concerns, including the protection of patient data privacy and adherence to regulatory standards. The union of teledermatology and AI not only aims to enhance the precision of teledermatologic diagnoses but also broadens the accessibility of dermatologic services to previously underserved populations, benefiting patients, health care providers, and the overall health care system.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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