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.
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Improving Diagnostic Accuracy with GenAI
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Instructors: Alfonso Rodríguez Cotes
Sponsored by Coursera Learning Team
Recommended experience
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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1 assignment
January 2025
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There is 1 module in this course
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 readings1 assignment2 peer reviews3 discussion prompts
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