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⇱ Improving Diagnostic Accuracy with GenAI | Coursera


Improving Diagnostic Accuracy with GenAI

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply GenAI techniques, including prompt engineering and fine-tuning to improve diagnostic accuracy across various healthcare scenarios.

  • Implement existing GenAI models and agents effectively for specific diagnostic applications, enhancing precision in clinical decision-making.

  • Integrate specialized GenAI models and agents within broader diagnostic workflows to optimize responsiveness and accuracy in healthcare settings.

  • Assess ethical considerations and biases in GenAI applications to ensure fair and accurate diagnostic outcomes across diverse patient populations.

Details to know

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Assessments

3 assignments¹

AI Graded see disclaimer
Taught in English

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This course is part of the Generative AI-Powered Solutions for Modern Healthcare Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

This course is designed for healthcare professionals, AI developers, and anyone eager to harness the power of GenAI to advance diagnostic capabilities. Through hands-on, practical applications, you’ll learn how to integrate GenAI tools effectively into diagnostic workflows, covering techniques like prompt engineering, model fine-tuning, agents creation and the integration of multimodal data for more comprehensive patient insights. Without the need to build new models, you’ll learn to apply existing GenAI tools to enhance diagnostic accuracy in real-world healthcare settings.

This course is designed for healthcare professionals, AI enthusiasts, and individuals interested in the intersection of technology and medicine. A basic understanding of healthcare processes and technology is helpful but not mandatory. By the end of this course, learners will be equipped with knowledge and tools to integrate generative AI to improve diagnostics accuracy. They will be able to apply GenAI models and techniques, to improve diagnostic accuracy across various healthcare scenarios. Also, learners will be able to assess ethical considerations and biases in GenAI applications to ensure fair and accurate diagnostic outcomes across diverse patient populations.

In this course, you’ll explore how to harness generative AI to advance diagnostic capabilities in healthcare. Through hands-on applications, you’ll learn to integrate GenAI tools into diagnostic workflows, utilizing techniques like prompt engineering, model fine-tuning, agent creation, and multimodal data integration for comprehensive patient insights. Focusing on the practical use of existing tools, you’ll develop skills to enhance diagnostic accuracy and improve outcomes in real-world healthcare settings.

What's included

12 videos4 readings3 assignments2 peer reviews

12 videosTotal 66 minutes
  • Introduction to the Course & Meet Your Instructor2 minutes
  • The Evolution of AI in Diagnostics6 minutes
  • Fundamentals of GenAI for Diagnostics10 minutes
  • GenAI Capabilities for Diagnostics6 minutes
  • Prompt Engineering for Diagnostics9 minutes
  • Fine-Tuning with Small Models5 minutes
  • AI Agents for Diagnostics4 minutes
  • Deployment of GenAI in Clinical Workflows10 minutes
  • Validation and Monitoring of GenAI Performance5 minutes
  • Ethics in AI-Driven Diagnostics4 minutes
  • Future Trends4 minutes
  • Congratulations and Continuous Learning Journey2 minutes
4 readingsTotal 20 minutes
  • Welcome to the Course: Course Overview5 minutes
  • Healthcare Generative AI and Data – 2025 Health IT Predictions5 minutes
  • Future of Generative AI in the Medical Industry: AI Agents5 minutes
  • How AI-Driven Healthcare Will Transform Patient Care and Diagnostics5 minutes
3 assignmentsTotal 80 minutes
  • Improving Diagnostic Accuracy with GenAI20 minutes
  • Differential Diagnosis Enhancement with GenAI30 minutes
  • Azure AI Foundry Model Deployment for Healthcare Diagnostics30 minutes
2 peer reviewsTotal 30 minutes
  • (Optional) Hands on Learning: Generating a Differential Diagnosis with Copilot15 minutes
  • Hands on Learning: Deploying and Consuming a Model in Azure AI Foundry15 minutes

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Instructors

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.