Interpreting AI Outputs for Clinical Decision Making

Webinar Overview

Day 1: Foundations and Basics

Informative Lectures: Delve into the foundational concepts of AI in healthcare through comprehensive lectures. Experts will cover the basics of AI, machine learning, and deep learning, providing insights into key concepts such as algorithms, models, training, and validation. Participants will gain a solid understanding of the current AI applications in healthcare, including diagnostics, treatment planning, and patient management, supported by successful case studies.

Interactive Discussions: Engage in dynamic discussions about interpreting AI outputs. Explore different types of AI outputs, including risk scores, predictive models, and classification outputs. Participants will deepen their understanding of statistical metrics like sensitivity, specificity, and AUC-ROC through interactive exercises using an AI tool, interpreting outputs from provided datasets.

Active Participation: Collaborate with peers and facilitators in an open forum to discuss the integration of AI into clinical practice. This interactive environment encourages the exchange of ideas and practical experiences, enriching the learning experience.

Day 2: Advanced Concepts and Practical Applications

Practical Sessions: Gain practical insights into advanced AI interpretation techniques through detailed sessions on model development, validation, and interpreting complex outputs. Real-world case studies will be reviewed to illustrate AI's use in specific clinical scenarios, fostering a deeper understanding of practical applications.

Interactive Learning: Participate in hands-on exercises with AI-driven case simulations, learning to use AI tools in clinical practice. Discussions will also address the ethical and legal considerations of AI in healthcare, including biases in AI models, patient consent, data privacy, and regulatory guidelines.

Training Specifics:

Duration: 2 days (4 hours each day)

Language: English

Platform: Zoom for live sessions

Test Type: Practical quiz assessment

Key Benefits:

Comprehensive Learning: Blend of theoretical knowledge and practical exposure to AI in healthcare.

Expert Guidance: Learn from leading professionals in the field of AI and healthcare.

Real-world Application: Gain insights into decision-making and clinical applications of AI.

Cutting-edge Techniques: Witness advanced AI technologies and their clinical utility.

Interactive Environment: Encourages collaborative learning and active participation.

Useful Information:

Platform Access: Ensure you have access to Zoom, before the workshop begins.

Certification: Participants will receive a certificate of completion after successfully passing the practical quiz assessment.

Feedback: An online survey will be provided for participant feedback to improve future workshops.