In this week’s Domain Knowledge we explore the need for quality standardization, what it means and how it can be best established in the ever-changing field of healthcare AI.
This week’s domain knowledge focuses on selecting the right healthcare AI partner. This is a critical decision that can significantly impact patient care, operational efficiency, and the overall success of the health system.
This week’s Domain Knowledge explores ways radiologists can incorporate AI in their practice.
AI has made significant inroads in various therapeutic areas, with cancer care benefiting greatly from this powerful technology.
AI is poised to become a revolutionary force in healthcare. From the early identification of cancer to the treatment of chronic diseases, there are limitless opportunities for leveraging AI in radiology to ensure more equitable and efficient patient care.
A notable AI use case in the medical field is the application of AI in radiology and the impact on health equity.
Medical errors are the third leading cause of death and account for nearly 250,000 fatalities annually. AI provides solutions to the medical error dilemma by equipping healthcare professionals with tools that both improve accuracy and function as a safety net.
This week’s Domain Knowledge takes a high level look at the steps a health system can take to determine the ROI of their AI initiatives.
This week’s Domain Knowledge explores the reasons behind the increasing trust in healthcare AI.
This week’s Domain Knowledge looks at the current and future role of ChatGPT in radiology.
Curated AI Hubs provide AI solutions organized around disease states as well as the opportunity to test the algorithms on the health system’s patient population. This curation and organization is much more valuable to health systems than a menu of unrelated apps in a marketplace.
This week’s Domain Knowledge looks at the role artificial intelligence (AI) can play in the detection and treatment of melanoma and skin cancer.