When Will AI Replace Technologues en médecine nucléaire ?

AI is set to automate around 40% of Nuclear Medicine Technologist tasks by 2028. Routine image processing, dose calculations, quality control checks, and protocol selection are prime candidates for AI-driven systems, including imaging analysis, radiopharmacy robots, and dosimetry software.

The initial wave of impact will be felt by junior technologists in 2026-2027. Their focus on routine imaging and basic calculations makes these roles susceptible to earlier automation as AI tools become more sophisticated.

Mid-wave transformation will see broader integration of AI into daily workflows. Senior technologists specializing in complex procedures, patient care, and quality assurance can expect their expertise to remain crucial, extending career longevity to 2034 and beyond.

Junior technologists heavily involved in routine imaging, basic dose calculations, and standard quality control checks are most susceptible to earlier AI automation. Their day-to-day tasks are more easily replicated by current and developing AI technologies.

Senior technologists with expertise in complex procedures, advanced patient interaction, emergency response to adverse reactions, and intricate clinical decision-making are more secure. The human-centric aspects of these roles, alongside the evolving landscape of hybrid imaging and novel radiopharmaceuticals, create sustained demand for skilled professionals.

With 6-10 years to adapt, focus on developing skills in areas AI cannot easily replicate. Enhance your patient interaction, emergency response capabilities, and complex clinical decision-making.

Embrace the evolution of nuclear medicine by becoming proficient in hybrid imaging (PET/CT, SPECT/CT, PET/MRI) and understanding novel radiopharmaceuticals. This specialization will ensure your continued value and career longevity in a transforming field.