人工智能和儿科手术:我们在哪里?
Yuichiro Miyake1,2, Giuseppe Retrosi1,3, Richard Keijzer4
1Thorlakson Chair in Surgical Research, Division of Pediatric Surgery, Department of Surgery, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba and Children's Hospital Research Institute of Manitoba, AE402-820 Sherbrook Street, Winnipeg, MB, R3A 1S1, Canada.
Pediatric surgery international
|December 3, 2024
概括
人工智能 (AI) 和大型语言模型 (LLM) 正通过提高精度和患者护理来彻底改变儿科手术. 仔细整合人工智能为改善手术结果和医疗教育提供了巨大的潜力.
科学领域:
- 医疗技术 医疗技术 医学技术
- 人工智能在医学中的应用
- 儿科手术创新 儿童手术创新
背景情况:
- 儿科手术越来越多地利用先进的技术来改善患者的治疗结果.
- 人工智能 (AI) 和大型语言模型 (LLM) 为增强外科护理的各个方面提供了新的机会.
- 人工智能在医疗保健中的整合需要对其好处和挑战有充分的了解.
研究的目的:
- 探索AI和LLMs对儿科手术的变革性影响.
- 检查人工智能在手术前,手术内和手术后护理中的作用.
- 评估AI和LLMs对医学教育和患者沟通的影响.
主要方法:
- 审查当前的AI和LLM在儿科外科的应用.
- 分析AI在提高手术精度和个性化护理方面的潜力.
- 讨论医学教育和患者沟通中的LLM能力.
主要成果:
- 人工智能提高了手术精度,并在手术过程中提供实时决策支持.
- LLM可以简化复杂的医疗信息,用于教育目的和患者理解.
- 人工智能应用在改善医疗保健专业人员和学生的学习方面表现有前途.
结论:
- 人工智能和LLM有可能显著改善儿科手术,医疗保健教育和患者护理.
- 伦理考虑,数据隐私和需要人类监督是关键的挑战.
- 建议在儿科手术中采用谨慎但乐观的AI方法.
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