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Speaker 1: 我认为代理人工智能正在深刻地改变医疗保健领域。它不仅能预测疾病,还能根据个体基因组成制定个性化的治疗方案。例如,IBM的Watson肿瘤学就是利用人工智能为癌症患者提供个性化治疗。这种方法能够带来更好的治疗效果、更快的康复速度和更少的副作用,这让我对医疗的未来充满希望。 Speaker 2: 我也认为人工智能在医疗保健中的应用非常广泛。它不仅可以用于治疗,还可以作为一种超强的诊断工具。像ADOC和Zebra Medical Vision这样的公司正在开发人工智能算法,用于分析医学影像,检测人眼难以发现的微小病变。此外,人工智能还在加速药物研发过程,并被应用于日常健康管理,例如通过可穿戴设备和健康应用程序进行健康监测。这些应用都极大地提高了医疗效率和个性化水平。

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This podcast episode explores the transformative potential of Agentic AI in healthcare. Agentic AI, systems capable of independent decision-making, is already improving diagnostic accuracy, personalising treatment plans, and accelerating drug discovery. Future applications include fully autonomous robotic surgery and predictive healthcare. However, ethical considerations, regulations, and the balance between AI and human oversight are crucial for responsible implementation. The episode concludes with a call to action for healthcare professionals, AI developers, and policymakers to address these issues.

🎙️ Episode Highlights:

  • How Agentic AI improves diagnostic accuracy
  • The future of autonomous robotic surgeries
  • Real-world case studies from leaders like IBM Watson & Aidoc
  • What’s next in AI-driven drug discovery and global health surveillance

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