疾病诊断中的人工智能:对医疗保健当前进展,应用和未来挑战的全面叙述
Mohamed Baklola1, Reem Reda Elmahdi1, Shaimaa Ali1
1Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Annals of medicine and surgery (2012)
|August 25, 2025
概括
人工智能通过提高医疗保健的准确性和效率来提高疾病诊断. 应对伦理和数据方面的挑战对于其在医疗实践中得到广泛和公平的采用至关重要.
科学领域:
- 人工智能在医疗保健中的应用.
- * 机器学习,深度学习和用于诊断的自然语言处理的进步.
背景情况:
- 通过提高准确性,效率和个性化, 人工智能正在改变医疗保健,特别是在疾病诊断方面.
- *目前的应用包括医学成像,病理学和个性化医疗,改善患者的结果.
- * 伦理困境,数据隐私和算法偏见阻碍了人工智能融入临床实践,特别是在资源不足的环境中.
研究的目的:
- 探索人工智能在疾病诊断方面的最新进展.
- 研究人工智能在医疗保健系统中的应用和挑战.
- 强调人工智能对疾病诊断和患者护理的影响.
主要方法:
- * 进行了叙事审查.
- * 本次审查重点关注人工智能在疾病诊断和医疗保健系统中的作用.
主要成果:
- *人工智能在医学影像,病理学和个性化医疗方面取得了成功,提高了诊断准确性和效率.
- *关键技术包括机器学习,深度学习和自然语言处理.
- 挑战包括道德问题,偏见,监管缺口和数据安全; 解决方案涉及合作和强有力的框架.
结论:
- 人工智能在诊断领域的整合有望彻底改变医疗保健,提高结果和效率.
- 克服道德,技术和社会挑战对于实现人工智能的全部潜力至关重要.
- 负责地实施人工智能可以改变医疗保健,
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