Integrating Artificial Intelligence-Driven Wearable Technology in Oncology Decision-Making: A Narrative Review

Area of Science:

• Oncology
• Digital Health
• Artificial Intelligence

Background:

• Clinical decision-making in oncology is complex, involving disease factors, patient demographics, and logistics.
• Artificial intelligence (AI) is driving precision medicine towards personalized care.
• Wearable devices offer continuous patient monitoring, early intervention, and improved treatment adherence.

Purpose of the Study:

• To review the integration of wearable devices and AI in oncology.
• To explore their roles in patient monitoring, treatment optimization, and research.
• To summarize completed clinical trials and discuss implementation challenges and future perspectives.

Main Methods:

• Review of existing literature and clinical trials on AI and wearable devices in oncology.
• Analysis of applications in patient monitoring, treatment planning, and biomarker detection.
• Discussion of implementation challenges, regulatory considerations, and future outlook.

Main Results:

• AI enhances diagnostic, prognostic, and treatment planning tools for precision medicine.
• Wearable technology improves patient engagement and adherence through continuous monitoring.
• Combined AI and wearables aid in activity monitoring, frailty assessment, chemotherapy tolerance prediction, biomarker detection, and adherence management.

Conclusions:

• AI and wearable devices significantly advance personalized oncology care.
• Challenges include data security, privacy, and device standardization.
• Future potential for these technologies to revolutionize cancer care delivery is substantial.