Name
Title | ||
|---|---|---|
Precision radiotherapy via information integration of expert human knowledge and AI recommendation to optimize clinical decision making |
Abstract | ||
|---|---|---|
•Develop an integrative system to help physicians design radiotherapy by combining human knowledge and AI recommendation.•Quantify the uncertainty of the treatment outcome based on black-box AI algorithms and physicians’ prescriptions.•Use the data analytic results to educate physicians and improve the AI recommendations.•Demonstrate the proposed method using real patient data from radiotherapy. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.cmpb.2022.106927 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Precision medicine,Decision making,Artificial intelligence,Computer model calibration,Gaussian process modeling | Journal | 221 |
ISSN | Citations | PageRank |
0169-2607 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenbo Sun | 1 | 0 | 0.34 |
| Dipesh Niraula | 2 | 0 | 0.34 |
| Issam El-Naqa | 3 | 528 | 36.31 |
| Randall K Ten Haken | 4 | 0 | 0.34 |
| Ivo D Dinov | 5 | 0 | 0.34 |
| Kyle Cuneo | 6 | 0 | 0.34 |
| Judy Jin | 7 | 0 | 0.34 |