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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 ...
The summit extensively explored these issues ... Healthcare organizations must establish robust security measures to prevent unauthorized access and breaches, maintaining patient trust in AI ...
Addressing documentation is key to reducing clinicians’ administrative burden.
A new article in the Journal of the American Medical Association said the FDA will implement AI into multiple processes.
Unstructured data is becoming more common, but it's not being fed correctly into AI and ML models for accurate output.
Our confusion will increase with AI, and the corporations controlling AI will use that confusion to take advantage of us.
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 ...
Data showed those polled are comfortable with AI being used for administrative tasks, but they were “far less” comfortable ...
By directly engaging with the public through forums, media discussions and even town hall meetings, healthcare organisations can start to demystify AI. This approach not only builds trust but also ...
Princess Alexandra Healthcare Trust is demonstrating how to use AI and automation to improve engagement, efficiency and ...
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