预测急性尾炎的人工智能:系统审查
Antoinette Lam1, Emily Squires2, Sheryn Tan1
1University of Adelaide, Adelaide, South Australia, Australia.
ANZ journal of surgery
|July 17, 2023
概括
人工智能 (AI) 在诊断和预测儿科尾炎的结果方面表现有前途. 然而,需要进一步的研究才能在临床环境中有效地实施人工智能模型,以改善患者护理.
科学领域:
- 儿科外科手术 儿科外科手术
- 医疗信息学医学信息学
- 医学中的人工智能
背景情况:
- 儿童尾炎的诊断和预测结果存在重大挑战.
- 现有的诊断和预后得分有其局限性.
- 人工智能 (AI) 为改善诊断准确性和预后能力提供了潜在的解决方案.
结论:
- 人工智能技术越来越多地被用于开发用于尾炎诊断和分类的预测模型.
- 进一步的实施研究至关重要,以证明AI在系统和以患者为中心的结果中的好处.
- 将人工智能模型推进到临床可用性需要强有力的验证和以结果为中心的研究.
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