Table 3.
Distribution of diagnosis and source of information for the AI application in publications selected for the bibliometric analysis.
| Images | Omics | Hystopathology/Blood | Other | |||||
|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | n | % | |
| CNS tumor (n=186) | 146 | 78.5 | 20 | 10.8 | 17 | 9.1% | 6 | 3.2 |
| Leukemia (n=55) | 1 | 1.8 | 22 | 40.0 | 27 | 49.1 | 7 | 12.7 |
| Lymphoma (n=24) | 6 | 25.0 | 10 | 41.7 | 6 | 25.0 | 2 | 8.3 |
| Neuroblastoma (n=15) | 4 | 26.7 | 10 | 66.7 | 2 | 13.3 | 0 | – |
| Bone and soft-tissue sarcoma (n=13) | 0 | – | 4 | 30.8 | 8 | 61.5 | 1 | 7.7 |
| Wilms Tumor (n=11) | 7 | 63.4 | 3 | 27.3 | 1 | 9.1 | 0 | – |
| Hematopoietic stem cells transplantation (n=3) | 0 | – | 1 | 33.3 | 0 | – | 2 | 66.7 |
| Other tumors (n=27) | 6 | 22.2 | 16 | 59.3 | 5 | 18.5 | 1 | 3.7 |
Each publication may include different data sources for the development of AI applications and may focus on more than one disease group.