AI in Medical Imaging
AI is being used or trialled for a range of
healthcare and research purposes, including
detection of disease, management of chronic
conditions, delivery of health services, and
drug discovery.
AI has the potential to help address
important health challenges, but might be
limited by the quality of available health data,
and by the inability of AI to display some
human characteristics.
The use of AI raises ethical issues, including:
the potential for AI to make erroneous
decisions; the question of who is responsible
when AI is used to support decision-making;
difficulties in validating the outputs of AI
systems; inherent biases in the data used
to train AI systems; ensuring the protection
of potentially sensitive data; securing public
trust in the development and use of AI
technologies; effects on people’s sense of
dignity and social isolation in care situations;
effects on the roles and skill-requirements of
healthcare professionals; and the potential
for AI to be used for malicious purposes.
A key challenge will be ensuring that AI
is developed and used in a way that is
transparent and compatible with the public
interest, whilst stimulating and driving
innovation in the sector.
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