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MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

Title:	MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery
Authors:	Su, Chenyang^{Aff16, Aff17}; Wang, Yishun^Aff20; Xu, Boqiang^{Aff17, Aff18}; Feng, Rong^{Aff16, Aff17}; Du, Lei^Aff20; Liu, Hongbin^{Aff17, Aff18}; Meng, Gaofeng^{Aff17, Aff18, Aff19}
Contributors:	Goos, Gerhard, Founding Editor^Aff1; Hartmanis, Juris, Founding Editor^Aff2; Bertino, Elisa, Series Editor^Aff3; Gao, Wen, Series Editor^Aff4; Steffen, Bernhard, Series Editor^Aff5; Yung, Moti, Series Editor^Aff6; Gee, James C., editor^Aff7; Alexander, Daniel C., editor^Aff8; Hong, Jaesung, editor^Aff9; Iglesias, Juan Eugenio, editor^Aff10; Sudre, Carole H., editor^Aff11; Venkataraman, Archana, editor^Aff12; Golland, Polina, editor^Aff13; Kim, Jong Hyo, editor^Aff14; Park, Jinah, editor^Aff15
Source:	Medical Image Computing and Computer Assisted Intervention – MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part XI. 15970:402-411
Database:	Springer Nature eBooks