AI Agents for Healthcare and Diagnostics

• Basic knowledge of AI and machine learning concepts
• Experience with data analysis and healthcare systems
• Familiarity with medical terminology and diagnostics

Audience

• Healthcare professionals
• AI developers
• Medical researchers

AI agents are transforming patient diagnostics, drug discovery, and healthcare workflows by leveraging machine learning and automation to enhance decision-making and efficiency.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals and AI developers who wish to implement AI-driven healthcare solutions.

By the end of this training, participants will be able to:

• Understand the role of AI agents in healthcare and diagnostics.
• Develop AI models for medical image analysis and predictive diagnostics.
• Integrate AI with electronic health records (EHR) and clinical workflows.
• Ensure compliance with healthcare regulations and ethical AI practices.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AI in Healthcare

• Overview of AI applications in medical diagnostics
• AI-powered patient monitoring and decision support
• Regulatory and ethical considerations

AI for Medical Image Analysis

• Deep learning techniques for medical imaging
• Automating radiology and pathology workflows
• Hands-on: Implementing AI for medical image classification

Predictive Analytics and AI for Diagnostics

• Using AI for disease prediction and early diagnosis
• AI models for risk assessment and prognosis
• Hands-on: Building predictive models with patient data

AI Integration with Electronic Health Records (EHR)

• Standardized healthcare data formats (FHIR, HL7)
• Automating clinical workflows with AI
• Hands-on: Connecting AI models to EHR systems

AI for Drug Discovery and Personalized Medicine

• How AI accelerates drug discovery and development
• AI-driven precision medicine and treatment recommendations
• Case studies of AI in pharmaceutical research

Compliance, Security, and Ethical AI in Healthcare

• Ensuring HIPAA and GDPR compliance
• Bias mitigation and fairness in AI-driven healthcare
• Security best practices for AI healthcare applications

Implementing AI Solutions in Healthcare

• Challenges and best practices for AI deployment
• Scaling AI solutions in hospitals and clinics
• Hands-on: Deploying an AI-powered healthcare assistant

Summary and Next Steps