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Coursera

Improving Diagnostic Accuracy with GenAI

Coursera Instructor Network via Coursera

Overview

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.

Syllabus

  • Improving Diagnostic Accuracy with GenAI
    • 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.

Taught by

Alfonso Rodríguez Cotes

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