Artificial Intelligence (AI) and Blockchain. Each of them has evolved singly, working complex problems and unleashing new ...

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 fast-evolving healthcare landscape, technological advancements are reshaping how medication management is ...

Artificial intelligence is transforming this landscape through intelligent automation and predictive analytics.

More than 400 representatives from ministries, health professionals, experts, patient associations and international ...

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 ...

In his half-hour speech to policymakers, tech leaders and industry guests, Mr Tharman said the other two areas are in healthcare and climate change. Specifically, AI can aid in early disease detection ...

As artificial intelligence (AI) is widely used in areas like healthcare and self-driving cars, the question of how much we ...

The EEM integrates two sets of principles: ethical ones that include well-being, autonomy, justice, and explicability, and ...

While AI holds immense promise in solving social problems, balancing optimism with caution is necessary. The development and use of AI must be guided by ethical frameworks and regulatory oversight to ...

In recent years, sporadic medical disagreements have arisen. Inadequate communication between the medical team and patients, ...

Is it dishonest to say ‘AI will never replace human doctors?’ Some say yes, some say no, but 25 years is an eternity in tech ...