Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies
This work targets the problem of complex dosimetry in RPT for patients and clinicians, but it is incremental as it reviews existing advances rather than presenting new methods.
The paper reviews how artificial intelligence (AI) can address the need for personalized and patient-centered dosimetry in radiopharmaceutical therapy (RPT), aiming to simplify dosimetry calculations for improved patient care.
KEY WORDS: Artificial Intelligence (AI), Theranostics, Dosimetry, Radiopharmaceutical Therapy (RPT), Patient-friendly dosimetry KEY POINTS - The rapid evolution of radiopharmaceutical therapy (RPT) highlights the growing need for personalized and patient-centered dosimetry. - Artificial Intelligence (AI) offers solutions to the key limitations in current dosimetry calculations. - The main advances on AI for simplified dosimetry toward patient-friendly RPT are reviewed. - Future directions on the role of AI in RPT dosimetry are discussed.