AI Adoption by Healthcare

Overview

This lecture is part of the 3rd Public Health Conference in 2025, offering healthcare professionals the opportunity to explore innovative AI solutions for managing chronic diseases, ultimately improving health outcomes and system efficiency. This year's theme emphasizes the role of artificial intelligence (AI) in addressing the challenges posed by chronic diseases, which significantly burden healthcare systems globally.

What I will learn?

• •Explain the potential benefits of AI adoption for improving patient care and healthcare delivery.
  •Identify key sectors of healthcare (e.g., radiology, pathology, telemedicine) where AI is being implemented.
  •Discuss the role of interdisciplinary collaboration in the successful adoption of AI in healthcare, including partnerships between technologists, clinicians, and administrators.

Related Classes

• Large Language Models for Health: Practical Examples
• Prompt Engineering for Chronic Diseases
• The Importance of Data - Health care
• AI in Health Care : Lessons Learned
• AI in Predictive Modeling for Epidemics
• Predictive Analytics for Disease Management
• Public Health Surveillance & Global Research Collaborations
• Telemedicine & Remote Monitoring Tools