Emerging Frontiers in Infectious Disease: AI, Innovation, and Global Preparedness (Live Webinar)
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Register
- Non-member - $50
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Description
Infectious diseases remain one of the most pressing challenges for healthcare systems worldwide. Advances in artificial intelligence and digital health tools are creating new opportunities to detect outbreaks earlier, improve diagnostic accuracy, and personalize patient care. Yet these innovations also raise critical questions around data privacy, bias, and the need for equitable access to technology.
Hosted by the International Medical and Scientific Association (IMSC), this session brings together leading clinicians, researchers, and public health experts to:
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Explore AI-driven innovations in infectious disease detection, monitoring, and treatment.
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Examine lessons learned from the COVID-19 pandemic and how technology can strengthen preparedness for future outbreaks.
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Discuss ethical and equity considerations when deploying AI in diverse healthcare settings.
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Provide actionable strategies for integrating new tools into practice without compromising patient trust or safety.
By the end of the webinar, participants will gain a deeper understanding of how infectious disease management is evolving and leave with practical approaches for responsibly implementing technology in their clinical or research practice.
Dr Evelyn Dodge
Professor of Biomedical Data Science
Johns Hopkins University School of Medicine
Dr. Evelyn Dodge is a biomedical data scientist with over 20 years of experience applying machine learning and big data analytics to population health. Her research emphasizes ensuring equity and transparency in AI algorithms used for diagnostics and treatment planning. Dr. Dodge has collaborated with the World Health Organization and national health systems on AI ethics frameworks, and she currently leads a multi-institutional consortium examining bias mitigation strategies in medical AI. A passionate educator, she mentors graduate students and clinicians in responsible innovation, bridging technology and patient-centered care.
- No Relevant Financial Relationships
Dr. Dodge has disclosed no relevant financial relationships with ineligible companies.
Advisory/Consulting Disclosure
Dr. Dodge serves as an unpaid advisor on the World Health Organization’s Artificial Intelligence in Health Ethics panel. She has disclosed no relevant financial relationships with ineligible companies.
Dr Amy Smith
Associate Professor of Medicine
Department of Internal Medicine, University of California, San Francisco (UCSF)
Dr. Amy Smith is a physician and researcher specializing in clinical informatics and digital health. Her work focuses on integrating artificial intelligence and predictive analytics into electronic health records to support clinical decision-making and improve patient safety. Dr. Smith has led NIH-funded projects on machine learning models for early detection of sepsis and has published extensively on the ethical use of AI in clinical practice. She is a frequent speaker at international conferences on digital health innovation and serves on advisory panels shaping guidelines for responsible AI adoption in healthcare.
- No Relevant Financial Relationships
Dr. Smith has disclosed no relevant financial relationships with ineligible companies.
Research Funding Disclosure
Dr. Smith receives research funding from the National Institutes of Health (NIH) for studies related to clinical decision support. She has disclosed no relevant financial relationships with ineligible companies.
Speaker Disclosures
Dr. Amy Smith
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Financial Relationships: Dr. Smith has disclosed no relevant financial relationships with ineligible companies.
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Non-Financial Relationships: Dr. Smith has disclosed no non-financial interests relevant to the content of this activity.
Dr. Evelyn Dodge
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Financial Relationships: Dr. Dodge has disclosed no relevant financial relationships with ineligible companies.
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Non-Financial Relationships: Dr. Dodge has disclosed no non-financial interests relevant to the content of this activity.