  Artificial intelligence (AI) has significant potential to positively impact
and advance medical imaging, including positron emission tomography (PET)
imaging applications. AI has the ability to enhance and optimize all aspects of
the PET imaging chain from patient scheduling, patient setup, protocoling, data
acquisition, detector signal processing, reconstruction, image processing and
interpretation. AI poses industry-specific challenges which will need to be
addressed and overcome to maximize the future potentials of AI in PET. This
paper provides an overview of these industry-specific challenges for the
development, standardization, commercialization, and clinical adoption of AI,
and explores the potential enhancements to PET imaging brought on by AI in the
near future. In particular, the combination of on-demand image reconstruction,
AI, and custom designed data processing workflows may open new possibilities
for innovation which would positively impact the industry and ultimately
patients.
