10048-CO-2 自然语言处理 AI 能否成为脑肿瘤患者的合适 "顾问"?聊天技术的临床应用和问题

Taijun Hana, Satoshi Takahashi, Yuki Kawaguchi, S. Oya
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摘要

在日本,每年约有2万人罹患脑肿瘤,其中一些病例需要紧急治疗。然而,非医疗人员(一般公众)的医学知识往往有限,导致即使在神经症状明显时寻求治疗的延误。拥有能够鼓励医疗咨询的适当顾问可能会改善这种情况。虽然自然语言处理人工智能(NLP-AI)得到了广泛的应用,但将其完全整合到医疗保健领域仍在进行中。ChatGPT是一个著名的NLP-AI,拥有广泛的知识,并可全天候在线访问。我们探索利用其先进的能力和可及性在脑肿瘤管理领域的潜力。方法为了评估其有效指导医院就诊的能力,我们模拟了与原发性脑肿瘤相关的各种症状,并作为患者咨询了ChatGPT(GPT3.5)。我们还评估了ChatGPT在症状咨询期间如何处理不必要的噪音信息(不相关的症状)。结果:ChatGPT一致建议所有模拟脑肿瘤患者到医院就诊,并就紧急情况和相关医疗部门提供适当的建议。值得注意的是,即使患者表现出犹豫和拒绝去医院,ChatGPT也会不顾用户(患者)的意愿,坚持说服他们去医院。尽管引入了噪声信息,ChatGPT准确地识别并强调了相关症状的重要性,提示了适当的医疗护理。然而,当存在过多的噪声时,精度下降。此外,ChatGPT还生成了简明的病史摘要,以便在医院就诊期间进行展示。虽然人工智能在医学成像领域得到了广泛的应用,但会话式人工智能在医疗保健领域的全面整合仍在进行中。ChatGPT虽然不是医疗保健专业人员,但它有潜力成为拥有丰富医学知识的“顾问”,随时为脑肿瘤患者提供咨询。然而,与问责制和扩大知识能力有关的挑战仍有待解决。
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10048-CO-2 CAN NATURAL LANGUAGE PROCESSING AI BE AN APPROPRIATE “ADVISER” FOR BRAIN TUMOR PATIENTS? CLINICAL APPLICATION AND ISSUES ON CHATGPT
Abstract INTRODUCTION Brain tumors affect approximately 20,000 individuals annually in Japan, with some cases requiring urgent treatment. However, the medical knowledge of non-medical individuals (the general public) is often limited, resulting in delays in seeking treatment even when neurological symptoms are evident. Having appropriate advisors who can encourage medical consultations could potentially improve this situation. While Natural Language Processing AI (NLP-AI) is widely used, its full integration into healthcare remains a work in progress. ChatGPT, a prominent NLP-AI, possesses extensive knowledge and is accessible 24/7 online. We explored the potential of leveraging its advanced capabilities and accessibility in the field of brain tumor management. METHODS To evaluate its ability to guide hospital visits effectively, we simulated various symptoms associated with primary brain tumors and consulted ChatGPT(GPT3.5) as patients. We also assessed how ChatGPT handled unnecessary noise information (unrelated symptoms) during symptom consultations. RESULTS ChatGPT consistently recommended hospital visits for all simulated brain tumor patients and provided appropriate advice regarding the urgency and relevant medical department. Notably, even when patients expressed hesitation and refusal hospital visits, ChatGPT persistently persuaded them to visit the hospital despite the user(patient)'s intention. Despite the introduction of noise information, ChatGPT accurately identified and emphasized the importance of relevant symptoms, prompting appropriate medical attention. However, accuracy declined when excessive noise was present. Additionally, ChatGPT generated concise summaries of medical histories for presentation during hospital visits. DISCUSSION While AI is widely utilized in medical imaging, the comprehensive integration of conversational AI in healthcare is still in progress. ChatGPT, despite not being a healthcare professional, holds potential as an "advisor" with extensive medical knowledge, accessible for consultations at any time, to support brain tumor patients. However, challenges related to accountability and expanding knowledge capabilities remain to be addressed.
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