Learning Objectives:

  • The role of AI in data analysis and interpretation: Discuss how AI algorithms and machine learning techniques are transforming the way lung cancer research is conducted. Explore how AI can effectively analyze large datasets, identify patterns, and extract meaningful insights from complex medical data.
  • AI-powered tools for early detection and diagnosis: Highlight the advancements in AI technologies that contribute to diagnose of lung cancer and predict treatment accuracy
  • Precision medicine and treatment optimization: Explore how AI is revolutionizing the field of precision medicine in lung cancer. Discuss how AI can analyze genomic data and biomarkers to identify specific subtypes of lung cancer and predict optimal treatment options for individual patients.
Session date: 
06/12/2023 - 12:00pm to 1:00pm CDT
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 Participation

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Speaker Name: 
Arsela Prelaj, MD, PhD Candidate