The rapid advancement of artificial intelligence (AI) in medicine is paving the way for the potential development of artificial general intelligence (AGI), a revolutionary technology capable of understanding and solving complex medical problems with human-like proficiency. However, regulatory challenges, particularly...
As AI and machine learning (ML) continue to transform health care, the importance of effective post-market surveillance mechanisms becomes clear. With nearly 1,000 AI-enabled medical devices approved as of 2024, ranging from predictive glucose monitors to AI-equipped smartwatches, there is...
As AI in healthcare becomes more sophisticated, so does its language. Staying up-to-date with the latest AI terminology, such as “prompt engineering” and “user-in-the-loop AI,” are integral to managing and refining AI technology. These advanced techniques are helping AI systems...
As AI technologies in healthcare grow, professionals in the field are worried about the regulations needed to support its increased use. With growing aspirations of how AI can be used to improve the patient and provider experience, regulations must be...
As artificial intelligence (AI) widens its influence across a variety of industries around the world, healthcare is no exception. While feelings are mixed, many patients are expressing their concerns surrounding the use of AI in their continuum of care. Older...
Fifteen years after the HITECH Act was passed, health system leaders are very confident in the value of EHRs, even with the challenges they’ve faced over the years. Concerns have moved to improving data sharing and connectivity between clinicians and...
