clinical AI

Organizations need to ask how they can secure their use of AI technologies, use AI to secure the organization better and defend against AI-driven attacks, says Dave Heaney, chief information security officer at Mass General Brigham.

Dr Alexander Ryu, vice chair of Innovation and AI at Mayo Clinic, reveals best practices in planning and integrating AI into clinical practice.  

QuantHealth cofounder and CEO Orr Inbar discusses how using artificial intelligence for clinical trial simulations can help solve challenges often seen by patients, researchers and the pharmaceutical industry when studying a new drug.

ShiftMed EVP and chief nurse executive Larry Adams discusses artificial intelligence tools such as predictive analytics, intelligent scheduling and data-driven decision support, and how they can help solve staffing shortages in the nursing field.  

Matt Cybulsky, LBMC practice leader for healthcare AI, value-based care and product innovation, discusses paths to implement digital health tools for value-based care and the advantages of using AI to ease provider workflow.

Jerry Shultz, Lightbeam Health Solutions' president, says the company's AI identifies COPD patients who need personalized interventions, reducing readmissions and realizing millions of dollars in savings for clients.

Mark Polyak, president of global data management at IPSOS, says LLMs can "talk" to patients about administrative tasks like scheduling, but bias and model compatibility must be addressed before clinical deployments.  

Ashok Chennuru, global chief data and insights officer at Elevance Health, and Oron Afek, CEO of Vim, discuss scaling artificial intelligence to accelerate workflows, enhance patient care and unlock personalized medicine.  

Adjunct faculty at Stanford Health Care and CMO and cofounder of Atropos Health, Saurabh Gombar, discusses a study analyzing five LLMs and their accuracy in producing actionable and reliable evidence for healthcare-related questions.  

Marilee Benson, president and cofounder of Zen Healthcare IT, talks about how the company's interoperability product enables AI tools to access healthcare data needed for use cases such as identifying patients for clinical trials.