The Innex Generative AI Workshop focuses on the application of Generative Artificial Intelligence, with special attention to ChatGPT, in the healthcare sector. Participants will acquire knowledge and skills to effectively utilize this emerging technology. They will learn the basic concepts of Generative AI, explore its practical applications, and develop skills to interact with Generative AI. The disruptions and opportunities that Generative AI can bring to the healthcare sector will also be discussed.

Maximizing the Value of Generative Artificial Intelligence in the Healthcare Sector

Generative AI will revolutionize how healthcare professionals and organizations approach their tasks and responsibilities. In this context, ChatGPT is currently one of the flagship tools of Generative AI; however, to fully leverage this technology, it is crucial to acquire the appropriate knowledge and skills.

Understanding Innovative Capabilities with a Practical Approach

Healthcare professionals must be aware of the capabilities and disruptive innovations associated with Generative AI. This awareness will enable them to anticipate the opportunities that this emerging technology can offer to the healthcare sector, as well as the risks and limitations involved.

To effectively use tools like ChatGPT and other systems based on Large Language Models (LLMs), it is necessary to adopt a practical approach and learn how to interact with these tools to optimize work processes in terms of Artificial Agents.

Objectives

• Promote knowledge and skills for the application of Generative AI in the tasks performed by doctors and healthcare professionals.

• Familiarize participants with the concepts and culture surrounding Generative AI, particularly ChatGPT, and understand its evolving dynamics.

• Analyze the potential uses of ChatGPT and, more generally, LLM tools in the healthcare environment with a practical focus.

• Activate the learning curve and guide personal development in interacting with Generative AI tools.

• Assist in managing paradigm shifts in professional activities.

Program

Concepts

• Understand the elements involved and the technical context of Generative AI: LLMs, Attention Mechanisms, Prompting, GPTs.

• Configure environments based on LLMs: GPTs, Plugins, and APIs.

Practices

1. Efficient PromptingApplication of basic syntactic rules in designing instructions for LLMs using the Prompt-Kit technique.Cases: Strategies for making clinical inquiries in LLMs.

2. Prompt DesignApplication of LLM attention mechanisms and management of creativity and productivity in instruction design.Cases: Iteration strategies for the gradual improvement of prompts for recursive management tasks in healthcare environments.

3. Definition and Configuration of GPTsCombining instructions and specific knowledge bases for configuring personalized GPTs.Cases: Designing and testing proof-of-concept applications of health solutions based on Generative AI.

Future Vision

• Generative AI Disruption: Evidence and dimension.

• Productivity, Creativity, and Intelligence: Current frontiers and trends.

Instructors

Since the first generative AI tools became available, we have been working intensively; we know all the resources and can offer the best advice. If you have suggestions or want to discuss the application of AI in innovation or future vision, here are our contacts.

• Michelle Catta-PretaCEO and co-founder of Innex and SmartDelphi. Innovation consultant. Collective Intelligence researcher at UPC. Professor of AI applied to e-Health in the Erasmus BIP at Deggendorf Institute of Technology.

• Àlex TrejoCTO and co-founder of Innex and SmartDelphi. Associate Professor of Design Engineering at UPC. Expert in the application of Generative AI technologies in healthcare.

• Jan FerrerDirector and co-founder of the Institute for the Future. UPC researcher in the field of Collective Intelligence. Participates in several projects at Innex applying digital tools in healthcare.

• Josep Mª MonguetCRO and co-founder of Innex and SmartDelphi. Professor at UPC, head of the research line of Advanced Studies in Design UB-UPC.