Artificial Intelligence (AI)

American Hospital Association resources on artificial intelligence (AI) and machine learning, their impact on the health care field, and AI and machine learning innovation in hospitals and health systems.

The increasing prevalence of AI in health care will have significant impacts on the workforce — new roles, competencies and skills.
To slice through the hype, hospital and health system executives need to know what questions to ask a potential vendor, whether it’s to assist with a homegrown AI project or outsource 100% of all AI projects.
Discover how AI technologies can augment the knowledge of care teams in the clinical setting. Learn how AI can facilitate quicker diagnoses and help identify the best treatment strategies for improved patient outcomes. Stay informed about AI in health care by following us.
This Market Insights report from the American Hospital Association’s Center for Health Innovation offers hospital and health system leaders an overview of the health care AI landscape, including the common use cases for AI technology in four broad areas.
Emerging Artificial intelligence (AI) technologies can help organizations create more value for their patients and communities by converting time-consuming, labor-intensive and often inefficient tasks and functions into actionable information to produce better outcomes.
Aurora, Colo.-based UCHealth has deployed Avaamo’s conversational artificial intelligence platform to create a virtual assistant called Livi that will enable users to ask for information about health conditions and hospital services using smart speakers like Amazon’s Alexa.
Google’s DeepMind, the artificial intelligence arm of Alphabet Inc., has shown promise in predicting the shapes of proteins, the building blocks of disease. A recent Bloomberg report notes that this could lead to more rapid development of drugs.
Researchers from Memorial Sloan Kettering Cancer Center in New York City and med-tech computational pathology startup Paige say they’ve developed a clinical-grade artificial intelligence model to detect cancer in tissue slides with near-perfect accuracy.
Hospital and health system leaders should collaborate with radiologists to boost value through AI, said speakers at an AHA Physician Alliance webinar.
More accurate diagnoses in less time. More effective treatments as the first option. Clinicians with the ability to practice at the top of their license and the time to connect meaningfully with patients. These are just a few of the benefits artificial intelligence could bring to health care.