Table 2.
Characteristics of included papers
Paper | First author | Journal | Publication year | Model utility | Body region | Sample size | Modality | Mean RQS1 | Self-reported RQS |
---|---|---|---|---|---|---|---|---|---|
1 | Noortman WA [22] | Eur Radiol | 2022 | Classification | Abdomen | 38 | PET-CT | 10.3 | N/A |
2 | Bao D [23] | Eur Radiol | 2022 | Prognostication | Head and neck | 216 | MRI | 16 | N/A |
3 | Chen Q [24] | Eur Radiol | 2022 | Detection and prognostication | Thorax | 240 | CT | 15.2 | N/A |
4 | von Schacky CE [25] | Eur Radiol | 2022 | Classification | Musculoskeletal | 880 | X-ray | 13.2 | N/A |
5 | Chu F [26] | Eur Radiol | 2022 | Prognostication | Abdomen | 434 | MRI | 14.7 | N/A |
6 | Xiang F [27] | Eur Radiol | 2022 | Prognostication | Abdomen | 204 | CT | 14.8 | N/A |
7 | Zhang H [28] | Eur Radiol | 2022 | Classification | Abdomen | 138 | CT | 12.7 | N/A |
8 | Zheng Y [29] | Eur Radiol | 2022 | Classification | Head and neck | 388 | CT | 13 | N/A |
9 | Lin M [30] | Eur Radiol | 2022 | Detection | Head and neck | 489 | US | 12.5 | N/A |
10 | Jiang J [31] | Eur Radiol | 2022 | Detection | Neurovascular | 403 | CT | 14.3 | N/A |
11 | Kang JJ [32] | Eur Radiol | 2022 | Detection | Neuro | 149 | MRI | 8.7 | N/A |
12 | Zhang D [33] | Eur Radiol | 2022 | Classification | Abdomen | 209 | MRI | 13.7 | N/A |
13 | Ma X [34] | Eur Radiol | 2022 | Classification | Thorax | 612 | CT | 13.2 | N/A |
14 | Li MD [54] | Eur Radiol | 2022 | Detection | Technical | 108 | US | 2.5 | N/A |
15 | Xie X [35] | Eur Radiol | 2022 | Classification | Neuro | 89 | MRI | 8.5 | N/A |
16 | Zhu C [36] | Eur Radiol | 2022 | Prognostication | Abdomen | 106 | CT | 13.2 | N/A |
17 | Fan Y [51] | Eur Radiol | 2022 | Detection | Thorax | 192 | MRI | 14.8 | 27 |
18 | Zhao M [37] | Eur Radiol | 2022 | Prognostication | Thorax | 421 | PET-CT | 11.2 | N/A |
19 | Frood R [38] | Eur Radiol | 2022 | Prognostication | Whole body | 289 | PET-CT | 8.5 | N/A |
20 | Zheng Q [39] | Eur Radiol | 2022 | Detection | Neuro | 1650 | MRI | 8.8 | N/A |
21 | Zhong J [40] | Eur Radiol | 2022 | Detection and prognostication | Musculoskeletal | 144 | MRI | 14 | N/A |
22 | Cheng B [41] | Eur Radiol | 2022 | Detection | Thorax | 636 | CT | 14.8 | N/A |
23 | Bi S [42] | Eur Radiol | 2022 | Prognostication/classification | Head and neck | 128 | MRI | 13 | N/A |
24 | Si N [43] | Eur Radiol | 2022 | Detection and classification | Cardiovascular-thorax | 105 | CT | 12.3 | N/A |
25 | Eifer M [44] | Eur Radiol | 2022 | Classification | Thorax | 99 | PET-CT | 6 | N/A |
26 | Chen H [45] | Eur Radiol | 2022 | Detection and classification | Neuro | 609 | MRI | 11.3 | N/A |
27 | Zhong J [55] | Eur Radiol | 2022 | Detection | Technical | N/A | CT | 4.5 | N/A |
28 | Zhang X [46] | Eur Radiol | 2022 | Prognostication | Thorax | 172 | CT | 14.2 | N/A |
29 | Zhang H [52] | Eur Radiol | 2022 | Detection | Neuro | 355 | CT | 12.8 | 23 |
30 | Zheng YM [47] | Eur Radiol | 2022 | Prognostication | Head and neck | 217 | CT | 15.8 | N/A |
31 | Salinas-Miranda E [48] | Eur Radiol | 2022 | Detection | Abdomen | 122 | CT | 9.3 | N/A |
32 | Nagaraj Y [49] | Eur Radiol | 2022 | Detection | Thorax | 2720 | CT | 14.3 | N/A |
33 | Bleker J [50] | Eur Radiol | 2022 | Detection | Abdomen | 524 | MRI | 11.7 | N/A |
1According to the ratings of 6 raters from groups 1 and 2