The Current Research Landscape on Integrating Artificial Intelligence with Ultrasound Imaging for Cancer Diagnosis: A Dual-Database Bibliometric Study. | Synapse
February 22, 2026
The Current Research Landscape on Integrating Artificial Intelligence with Ultrasound Imaging for Cancer Diagnosis: A Dual-Database Bibliometric Study.
Puntos clave
The aim is to explore how artificial intelligence can enhance ultrasound imaging for cancer diagnosis.
Conducting a bibliometric analysis on existing research in AI and ultrasound imaging.
Examining trends and gaps in the literature regarding AI integration in cancer diagnosis.
Identifying the importance of diverse and large datasets for effective AI applications.
Emphasizes the need for transparent algorithms in AI for reliable cancer diagnosis.
Recommends prospective validation of methods to ensure actual benefits for patients.
Highlights the significance of multimodal integration for improving diagnostic accuracy.
Resumen
Future work should emphasize large, diverse datasets, multimodal integration, transparent algorithms, and prospective validation to ensure measurable patient benefits.