The Role of Artificial Intelligence in Theranostics.

Area of Science:

• Nuclear Medicine
• Artificial Intelligence
• Theranostics

Background:

• Theranostics is experiencing a resurgence driven by advancements in computing, radiochemistry, and instrumentation.
• Artificial intelligence (AI) is increasingly integrated with these technologies, offering synergistic benefits.

Purpose of the Study:

• To explore the diverse applications of AI in nuclear medicine and theranostics.
• To highlight AI's potential to advance precision medicine through theranostic innovations.
• To discuss the challenges and opportunities associated with AI in theranostics.

Main Methods:

• Review of current AI applications in nuclear medicine, including image processing and workflow enhancement.
• Analysis of AI's role in predictive dosimetry, radioligand design, and preclinical imaging.
• Examination of generative AI's impact on decision-making and image analysis.

Main Results:

• AI significantly improves nuclear medicine tasks such as attenuation correction, noise reduction, and lesion segmentation.
• AI enables predictive dosimetry for optimized therapeutic dosing, moving towards precision medicine.
• AI-augmented radioligand design, preclinical imaging, and generative AI tools offer substantial benefits.

Conclusions:

• AI integration is transforming theranostics, offering pathways to precision medicine.
• Predictive dosimetry and AI-enhanced radioligand development are key advancements.
• Addressing challenges in AI development and application is crucial for realizing its full potential in theranostics.