This course begins by exploring agentic AI and AI-driven agents in healthcare, focusing on their role in automation, decision support, and system optimization. Learners will understand how these AI-driven systems enhance healthcare processes before applying their knowledge in a capstone project. Participants will design a comprehensive AI-driven healthcare plan, execute key components, and develop a structured implementation strategy. The course culminates in a detailed report outlining execution insights and future steps for AI integration in healthcare.

AI Agents in Healthcare and Capstone
本课程是 AI for Healthcare Systems 专项课程 的一部分

位教师:Jiban Khuntia
访问权限由 New York State Department of Labor 提供
您将学到什么
Understand the role of agentic AI and AI-driven agents in healthcare exploring their impact on automation, decision-making, and system optimization.
Apply theoretical concepts to real-world healthcare challenges, designing and executing a capstone project that addresses issues for patient care.
Develop a comprehensive AI-driven healthcare strategy.
您将获得的技能
- Health Technology
- AI Workflows
- Predictive Modeling
- Responsible AI
- Applied Machine Learning
- Artificial Intelligence
- Predictive Analytics
- Agentic systems
- Healthcare Ethics
- AI Orchestration
- Health Systems
- AI Personalization
- Solution Design
- AI Enablement
- Agentic Workflows
- AI Security
- Data Ethics
- 技能部分已折叠。显示 10 项技能,共 17 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有3个模块
Introduces the transition from static AI models to dynamic, agent-based systems in healthcare.
涵盖的内容
9个视频1篇阅读材料1个作业
Focuses on the ethical, fairness, and design considerations essential for responsible health AI.
涵盖的内容
8个视频1篇阅读材料1个作业
A practical, project-based module where students apply learned concepts to real-world AI in healthcare.
涵盖的内容
10个视频2篇阅读材料1个作业
获得职业证书
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位教师

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