Despite high consumer optimism, the adoption of gen AI in healthcare remains stagnant, with trust issues presenting a significant barrier. The survey, conducted in March 2024 with over 2,000 US ...

Technology has always had the potential to be a great equalizer, but too often, its benefits have accrued disproportionately ...

Artificial Intelligence (AI) is transforming industries globally, and healthcare is no exception. The rapid advancement of AI technologies has led to groundbreaking innovations in medical diagnosis, ...

However, trust gaps among clinicians and ... said they were unsure about the legal liability issues that may follow the use of AI to assist healthcare decisions. Data bias was cited as another ...

AI is expanding rapidly, and like any technology maturing quickly, it requires well-defined boundaries – clear, intentional, ...

On Tuesday, May 20, Newsweek's Health Care Editor Alexis Kayser hosted a virtual event to explore how the health care industry is responsibly adopting AI. The webinar brought together AI experts in ...

Nowhere is trust in AI more important than in healthcare, where decisions can ... build chatbots that help patients understand medical issues and streamline entry into the clinic.

Building trust in AI's safety and transparency needs ongoing discussions among all involved. Healthcare professionals should actively seek legal advice to understand AI's complex issues, follow new ...

AI systems can now perform this function even more effectively than traditional statistical methods. In healthcare, clinicians tend to trust only data from familiar devices or processes that have met ...

stronger health care system for everyone, while at the same time protecting patients in that system from AI issues like trolley dilemmas. AI is very good at doing things like providing real time ...

Artificial Intelligence (AI) in healthcare is no ... Evaluation of patient information in order to predict possible health issues so that patients can seek treatment early on.