Harnessing Artificial Intelligence for Infectious Diseases Diagnostics
Summary
September 3, 2025
The Association for Molecular Pathology will present a webinar at 1 pm ET on September 3 exploring strategies for using artificial intelligence (AI) in infectious diseases diagnostic practices.
Artificial intelligence has the potential to transform clinical microbiology by enhancing infectious disease diagnostic accuracy, automating laboratory workflows, and harnessing the wealth of laboratory data to ultimately improve patient outcomes. This webinar will explore applications of AI-driven technologies such as microbial detection and prediction of antimicrobial resistance. We will also address the utility of AI in enhancing data quality control and quality assurance in molecular diagnostics. By highlighting real-world applications and future directions, this webinar will provide valuable insights into how AI is shaping the future of molecular infectious disease diagnostics and clinical microbiology practice.
After completing this webinar, the participant will be able to:
Register here
Artificial intelligence has the potential to transform clinical microbiology by enhancing infectious disease diagnostic accuracy, automating laboratory workflows, and harnessing the wealth of laboratory data to ultimately improve patient outcomes. This webinar will explore applications of AI-driven technologies such as microbial detection and prediction of antimicrobial resistance. We will also address the utility of AI in enhancing data quality control and quality assurance in molecular diagnostics. By highlighting real-world applications and future directions, this webinar will provide valuable insights into how AI is shaping the future of molecular infectious disease diagnostics and clinical microbiology practice.
After completing this webinar, the participant will be able to:
- Describe how laboratory data could be harnessed by artificial intelligence to enhance infectious disease molecular diagnostics
- Explain the role of AI-driven technologies in improving data quality control, quality assurance, and standardization in molecular diagnostics and microbiology workflows
- Discuss real-world applications, challenges, and future directions of AI integration in clinical microbiology
Register here