Theranostics and artificial intelligence: new frontiers in personalized medicine

Area of Science:

• Nuclear Medicine
• Oncology
• Artificial Intelligence

Background:

• Theranostics is advancing patient care, with artificial intelligence (AI) driving significant progress in nuclear medicine.
• AI applications are creating a paradigm shift in precision oncology, enhancing diagnostic and therapeutic strategies.

Purpose of the Study:

• To investigate current applications of artificial intelligence (AI) in theranostics.
• To explore the potential of AI in nuclear medicine and precision oncology.
• To identify future research directions for AI in theranostics.

Main Methods:

• AI-assisted tumor characterization: automated image interpretation, segmentation, and feature identification.
• AI algorithms for patient risk classification and treatment plan alignment.
• AI for predicting treatment response heterogeneity and dosimetry calculations.
• Generative AI for radiopharmaceutical development and drug discovery.

Main Results:

• AI improves diagnostic accuracy and provides detailed tumor evaluations.
• AI enhances patient risk stratification for personalized treatment.
• AI facilitates accurate dosimetry and prediction of treatment response.
• AI aids in identifying novel radiopharmaceutical targets and drug discovery.

Conclusions:

• AI holds immense potential to revolutionize theranostics and precision oncology.
• AI applications in nuclear medicine offer enhanced patient care and treatment outcomes.
• Further research is needed to overcome limitations and fully realize AI's potential in theranostics.