Despite the many advantages and opportunities offered by imaging in diagnostic technologies, we also face challenges and ethical questions. Integrating new technologies into existing diagnostic processes and systems can be complex and requires careful planning and implementation. For hospitals, it can sometimes be very difficult and expensive to integrate new technologies into ongoing operations – be it a new software solution or an entire MRI.
As with any new digital application, data protection and patient safety remain of paramount importance. Sensitive information must remain protected in the best possible way, even if it is used telemedically.
And finally, both patients and professionals still have reservations about the use of AI. All stakeholders must therefore be equally involved in its implementation. It must also be made clear time and again: In medicine, AI will only ever assist, not replace medical decisions.
In order to successfully implement modern imaging and diagnostic procedures, interdisciplinary cooperation between medicine, engineering, computer science and other specialist areas is crucial. By sharing knowledge and expertise, we can continue to push the boundaries of imaging technologies and develop solutions to complex medical challenges.
The future still offers many opportunities, including the further development of personalized medicine and precision medicine approaches via molecular imaging, for example for oncology, genetic and rare diseases or neurology.