PDF(Pubmed)
Abstract：
UNASSIGNED: AI technologies have the potential to transform patient care. AI has been used to aid in differential diagnosis and treatment planning for psychiatric disorders, administer therapeutic protocols, assist with interpretation of cognitive testing, and patient treatment planning. Despite advancements, AI has notable limitations and remains understudied and further research on its strengths and limitations in patient care is required. This study explored the responses of AI (Chat-GPT 3.5) and trained clinicians to commonly asked patient questions.
UNASSIGNED: Three clinicians and AI provided responses to five dementia/geriatric healthcare-related questions. Responses were analyzed by a fourth, blinded clinician for clarity, accuracy, relevance, depth, and ease of understanding and to determine which response was AI generated.
UNASSIGNED: AI responses were rated highest in ease of understanding and depth across all responses and tied for first for clarity, accuracy, and relevance. The rating for AI generated responses was 4.6/5 (SD = 0.26); the clinician s\' responses were 4.3 (SD = 0.67), 4.2 (SD = 0.52), and 3.9 (SD = 0.59), respectively. The AI generated answers were identified in 4/5 instances.
UNASSIGNED: AI responses were rated more highly and consistently on each question individually and overall than clinician answers demonstrating that AI could produce good responses to potential patient questions. However, AI responses were easily distinguishable from those of clinicians. Although AI has the potential to positively impact healthcare, concerns are raised regarding difficulties discerning AI from human generated material, the increased potential for proliferation of misinformation, data security concerns, and more.
UNASSIGNED: Three clinicians and AI provided responses to five dementia/geriatric healthcare-related questions. Responses were analyzed by a fourth, blinded clinician for clarity, accuracy, relevance, depth, and ease of understanding and to determine which response was AI generated.
UNASSIGNED: AI responses were rated highest in ease of understanding and depth across all responses and tied for first for clarity, accuracy, and relevance. The rating for AI generated responses was 4.6/5 (SD = 0.26); the clinician s\' responses were 4.3 (SD = 0.67), 4.2 (SD = 0.52), and 3.9 (SD = 0.59), respectively. The AI generated answers were identified in 4/5 instances.
UNASSIGNED: AI responses were rated more highly and consistently on each question individually and overall than clinician answers demonstrating that AI could produce good responses to potential patient questions. However, AI responses were easily distinguishable from those of clinicians. Although AI has the potential to positively impact healthcare, concerns are raised regarding difficulties discerning AI from human generated material, the increased potential for proliferation of misinformation, data security concerns, and more.
摘要：
■AI技术有可能改变患者护理。人工智能已被用于帮助精神疾病的鉴别诊断和治疗计划，管理治疗方案，协助解释认知测试，和病人的治疗计划。尽管取得了进步，AI具有明显的局限性，并且仍未得到充分研究，需要进一步研究其在患者护理中的优势和局限性。这项研究探索了AI（Chat-GPT3.5）的反应，并培训了临床医生对常见患者问题的回答。
■三位临床医生和AI对5个痴呆/老年病相关问题做出了回应。第四个人分析了答案，为清楚起见，失明的临床医生，准确度,相关性，深度,以及易于理解和确定AI生成的响应。
■在所有响应中，AI响应在易于理解和深度方面被评为最高，并且为清晰起见并列第一。准确度,和相关性。AI产生的反应评分为4.6/5（SD=0.26）；临床医生的反应为4.3（SD=0.67），4.2（SD=0.52），和3.9（SD=0.59），分别。AI生成的答案在4/5实例中被识别。
■与临床医生的回答相比，AI对每个问题的评价更高，更一致，表明AI可以对潜在的患者问题产生良好的反应。然而,AI反应很容易与临床医生区分开来。尽管AI有可能对医疗保健产生积极影响，人们担心人工智能很难从人类生成的材料中辨别出来，错误信息扩散的可能性增加，数据安全问题，还有更多.
■三位临床医生和AI对5个痴呆/老年病相关问题做出了回应。第四个人分析了答案，为清楚起见，失明的临床医生，准确度,相关性，深度,以及易于理解和确定AI生成的响应。
■在所有响应中，AI响应在易于理解和深度方面被评为最高，并且为清晰起见并列第一。准确度,和相关性。AI产生的反应评分为4.6/5（SD=0.26）；临床医生的反应为4.3（SD=0.67），4.2（SD=0.52），和3.9（SD=0.59），分别。AI生成的答案在4/5实例中被识别。
■与临床医生的回答相比，AI对每个问题的评价更高，更一致，表明AI可以对潜在的患者问题产生良好的反应。然而,AI反应很容易与临床医生区分开来。尽管AI有可能对医疗保健产生积极影响，人们担心人工智能很难从人类生成的材料中辨别出来，错误信息扩散的可能性增加，数据安全问题，还有更多.
