Artificial intelligence in musculoskeletal oncological radiology

Area of Science:

• Radiology
• Medical Imaging
• Artificial Intelligence

Background:

• Primary bone tumors are rare, making accurate radiologic diagnosis challenging.
• Experienced musculoskeletal radiologists are crucial for precise diagnosis.
• Artificial intelligence (AI) is increasingly integrated into medical practice for enhanced diagnostic accuracy.

Purpose of the Study:

• To review promising AI systems for diagnosing bone and soft tissue tumors.
• To highlight AI's role in improving diagnostic precision for neoplasms.
• To assess AI's potential in preventing the overlooking of dangerous conditions.

Main Methods:

• Review of recently developed AI systems for tumor diagnosis.
• Inclusion of systems for primary and secondary bone tumors.
• Consideration of AI applications in breast, lung, and colon cancer diagnosis.

Main Results:

• AI systems demonstrate potential in enhancing the precision of tumor diagnosis.
• Reviewed systems cover a range of neoplasms, including bone, breast, lung, and colon.
• AI integration aims to reduce diagnostic errors and improve patient outcomes.

Conclusions:

• AI shows considerable potential for the efficient diagnosis of bone and soft tissue tumors.
• Further development of computer-based expert systems is anticipated.
• Long-term studies are needed to fully confirm the benefits of AI in tumor diagnosis.