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  1. Courses
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  3. Improving Diagnostic Accuracy with GenAI

Improving Diagnostic Accuracy with GenAI

This course is designed for healthcare professionals, AI developers, and anyone eager to harness the power of GenAI to advance diagnostic capabilities.

Alfonso Rodríguez Cotes
Alfonso Rodríguez Cotes
Data Science | core | 2 hours 30 minutes |   Published: Jan 2025
In partnership with:  Coursera

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Overview

1KSTUDENTS*
96.5%RECOMMEND*

This course includes:

  • 2 hours and 30 minutes of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

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. 

Whether you're in the healthcare field or passionate about the future of medicine, this course will equip you to leverage the latest GenAI technologies to make a direct impact in diagnostics. From using AI to interpret medical images with unprecedented accuracy to supporting clinicians in identifying rare and complex conditions, you’ll gain practical skills to bring responsible, effective GenAI-driven diagnostic solutions to your organization. 

No prior experience with AI is necessary—just an interest in innovation and a drive to improve diagnostic outcomes through the power of GenAI. 

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. 

Skills You Will Gain

GenAI
Diagnostics
Healthcare
Innovation
Accuracy
Insights

Learning Outcomes (At the end of this program you will be able to)

  • 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. 

Prerequisites

Familiarity with healthcare and diagnostics is desired and Basic understanding of AI concepts. While no prior experience with artificial intelligence is required, a basic understanding of technology and healthcare is recommended. Familiarity with general healthcare workflows, patient care, or clinical data concepts will be helpful but is not essential.  

Who Should Attend

This course is designed to be accessible to a broad audience, including healthcare professionals, researchers and developers interested in applying GenAI in diagnostics, as long as they are willing to engage with the practical and technical aspects of this technology in clinical settings.  

Curriculum

Instructors

Frequently Asked Questions

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Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

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Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Introduction to Generative AI in Healthcare Diagnostics
2Module 2: Using GenAI Models for Diagnostic
3Module 3: Implementing GenAI in Healthcare Settings

Segment 05 - Prompt Engineering for Diagnostics

Segment 06 - Fine-Tuning with Small Models

Segment 07 - AI Agents for Diagnostics

Alfonso Rodríguez Cotes

Alfonso Rodríguez Cotes

Alfonso is a passionate Microsoft educator and project developer with a deep commitment to enhancing learning experiences, whether in E-learning or face-to-face environments. With a background in psychology, he is highly attuned to the needs of learners, and his enthusiasm for technology, AI, and the digital sphere drives him to continually seek new challenges in training, development, and learning.

As a specialist in training, instructional design, and E-learning, Alfonso has orchestrated and managed diverse educational projects across various sectors, including technology, engineering, pharmaceuticals, healthcare, academia, the public sector, tourism, and hospitality. His expertise spans designing and delivering training sessions both in-person and virtually, with a particular focus on technology topics such as cloud computing and artificial intelligence.

Alfonso is adept at creating educational content, having honed his craft with tools like Vyond, Articulate, Rise, Camtasia, and Canva. His proficiency extends to managing Learning Management Systems like Moodle, Canvas, and Learndash, ensuring seamless educational experiences. He has collaborated with notable organizations such as the Government of the United States, PPD (Thermo Fisher Scientific), HSBC, Seat (Cupra), and various universities, contributing to talent development initiatives and course creation on topics like deep learning and digitalization.

With expertise in areas like Azure, AI Development, Cognitive Services, and Data Analytics, Alfonso aligns with the evolving needs of the educational landscape, ensuring that his work consistently delivers transformative learning experiences.

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Segment 01 - Introduction and Welcome 

Segment 02 - The Evolution of AI in Diagnostics

Segment 03 - Fundamentals of GenAI for Diagnostics

Segment 04 - GenAI Capabilities for Diagnostics

Segment 08 - Deployment of GenAI in Clinical Workflows

Segment 09 - Validation and Monitoring of GenAI Performance

Segment 10 - Ethics in AI-Driven Diagnostics

Segment 11 - Future Trends

Segment 12 - Congratulations and Continuous Learning Journey