The Use of Artificial Intelligence Technologies in Cancer Care

Area of Science:

• Oncology
• Radiology
• Digital Pathology
• Epidemiology

Background:

• Artificial intelligence (AI) is increasingly utilized in managing large datasets for epidemiological and basic research.
• AI shows significant promise in radiological diagnosis and digital pathology.
• Integrating AI with clinical data is crucial for future personalized patient management.

Purpose of the Study:

• To explore the role and future potential of artificial intelligence in oncology.
• To highlight AI's impact on radiological diagnosis, digital pathology, and radiotherapy.
• To discuss the integration of AI with clinical data for personalized cancer treatment.

Main Methods:

• Review of current AI applications in medical research and clinical practice.
• Analysis of emerging AI contributions in radiology and digital pathology.
• Examination of AI's role in radiotherapy, including NICE-approved recommendations.

Main Results:

• AI is essential for handling large datasets in epidemiology and research.
• AI is making significant contributions to radiological diagnosis and digital pathology.
• Radiotherapy is the first field with a NICE-approved AI-based recommendation.

Conclusions:

• Integrating AI with clinical data will enable personalized management options for oncologists.
• AI systems have the potential to revolutionize clinical workflows in areas like outlining, planning, and quality assurance.
• Education, training, and clinician confidence in AI are essential for successful implementation in patient care.