HIMSS24: 5 AI in Healthcare Sessions You Should Attend

Healthcare professionals speaking at a conference session.

With the advance of AI and machine learning in the healthcare space, it’s important to stay up to date on the latest trends and future innovations. HIMSS24 is the premier conference for global health, where industry leaders, policymakers, vendors, educators and students come together to network, learn and discuss the biggest challenges facing healthcare today.  

HIMSS24 strives to offer attendees sessions and experiences with meaningful insight into the realm of AI & machine learning in the healthcare industry, and hosts professionals and industry leaders open to sharing their expertise on the outlook of healthcare with AI. Some of the key learning objectives you’ll come away from these sessions with include: 

  • Leveraging the latest AI developments towards decision-making in your organization. 
  • New innovations from generative AI in healthcare and how that impacts patient care. 
  • An understanding of the risks and challenges AI poses in the healthcare field such as regulatory compliance and data security.  
  • Insights into experiences, successes, setbacks, and forward-thinking perspectives from pioneering professionals in the AI healthcare space. 

AI & machine learning continue to shape the operations of healthcare organizations, and these organizations will need the right professionals to help guide them towards success and efficiency in the future. We’ve highlighted some of the top AI & Machine Learning in Healthcare sessions for your consideration. 

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The Healthcare AI Evolution: A Roadmap for Success  

Time: Monday, March 11 | 9:15 am – 10:00 am 

Location: Hall F (WF3) 

This panel of industry experts will shed light on pivotal questions and decisions that should be addressed at each stage of your AI adoption journey. 

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Accelerating Digital Healthcare Innovations with Generative AI 

Time: Monday, March 11 | 10:15 am – 10:45 am 

Location: Hall F (WF3) 

Join Dr. Sharma’s presentation exploring foundational NLP models, their application in comprehending clinical terminology, extracting specialty-specific facts, and using transfer learning to minimize task-specific annotation. 

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Risks and Challenges with AI in Healthcare 

Time: Monday, March 11 | 10:45 am – 11:15 am 

Location: Hall F (WF3) 

Join Dr. Eric Liederman, National Leader of Privacy, Security, and IT Infrastructure at Kaiser Permanente, to discuss a variety of key risks and challenges of AI in healthcare. 

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AI’s Role in Modern Healthcare: The Wins, the Woes, and What’s Next 

Time: Monday, March 11 | 1:00 pm – 1:45 pm 

Location: Hall F (WF3) 

This session will delve into identifying key metrics for measuring AI performance alongside pioneering healthcare trailblazers. 

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The Quest for Responsible AI: Navigating Key Ethical Considerations 

Time: Monday, March 11 | 2:00 pm – 2:45 pm 

Location: Hall F (WF3) 

This panel delves into the ethical considerations at the forefront of AI’s role in healthcare. 

Learning Objectives: 

  • Analyze the multifaceted ethical challenges surrounding AI’s role in healthcare. 
  • Evaluate strategies for identifying and mitigating ethical risks related to algorithmic bias, transparency, accountability, and data privacy in the context of AI-driven healthcare. 
  • Gain knowledge on navigating the ethical complexities of AI-driven healthcare to ensure proper governance and maintain trustworthiness, equity, and patient-centricity. 

USF Health is attending HIMSS24 and will be located in Lobby B, Professional Development Campus, PD21. 

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