AI and digital technology hold transformative potential for healthcare, but to fully realise their benefits, we must address ...

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 ...

In today’s CEO Daily: Diane Brady on building patient and doctor trust in AI. Analyst notes from Morningstar on Nvidia ...

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

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 ...

This article explores AI’s ethical challenges, including bias, privacy, and accountability. These issues, from fairness to ...

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 ...

Hosted by Provost Alec Gallimore, the symposium took place a week after he announced a new initiative that aims to increase conversation about the technology and make the University a leader in the ...

As healthcare systems increasingly rely on data-driven insights, ensuring ethical and regulatory compliance has become crucial. This article explores how privacy, transparency, and fairness are being ...