Overview: Computational analysis and decision support systems in oncology.

Area of Science:

• Computational intelligence
• Oncology
• Medical informatics

Background:

• Computational analysis tools and decision support systems are increasingly used in clinical processes and medical data management.
• Applications span diagnosis, disease investigation, treatment, and monitoring of therapeutic procedures.
• The field of oncology is significantly impacted by these advancements.

Purpose of the Study:

• To present research and applications of computational intelligence in oncology.
• To cover key areas of AI and DSS in cancer care.
• To highlight advancements in intelligent healthcare solutions for oncology.

Main Methods:

• Review of studies on computational intelligence applications in oncology.
• Categorization of research into four main areas: AI/DSS, classification tools, medical image management, and intelligent telehealth.
• Assessment of current research trends and future directions.

Main Results:

• Decision support systems (DSS) and artificial intelligence (AI) are crucial in oncology.
• Development of classification tools for cancer diagnosis and prognosis.
• Intelligent systems enhance medical image retrieval and storage.
• Intelligent telemedicine and telehealth applications improve cancer patient care and monitoring.

Conclusions:

• Computational intelligence offers transformative potential in oncology.
• AI and DSS applications are vital for improving cancer diagnosis, treatment, and patient management.
• Further research in intelligent systems will enhance efficiency and outcomes in cancer care.