Potential application of artificial intelligence in cancer therapy

Area of Science:

• Oncology
• Medical Informatics
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is increasingly integrated into healthcare, with significant implications for cancer care.
• AI applications span the entire cancer continuum, including early detection, diagnosis, treatment, and survivorship.
• Generative AI shows promise for administrative tasks, clinical decision support, and data synthesis in oncology.

Purpose of the Study:

• To review the critical role of AI in enhancing cancer care.
• To identify challenges hindering the widespread adoption of AI in oncology.
• To explore the potential of AI in improving disease management and clinical processes.

Main Methods:

• Literature review on artificial intelligence applications in cancer care.
• Analysis of advancements in AI models, digital biomarkers, and diagnostics.
• Examination of barriers to AI adoption in clinical practice.

Main Results:

• AI advancements are applicable across the cancer care continuum, from early detection to survivorship.
• Generative AI can streamline documentation, patient communication, and clinical trial matching.
• Slow AI adoption is attributed to concerns regarding data diversity, model reliability, bias, legal oversight, and costs.

Conclusions:

• AI holds substantial potential to revolutionize cancer care delivery and outcomes.
• Ongoing efforts focus on deploying, evaluating, and improving AI models for fairness and explainability.
• Standardized ethical guidelines, governance, and oversight are crucial for building trust in AI-assisted cancer care.