Innovations in Deep Learning to Predict Individual Risk and Treatment Outcome

被引：0
|
作者：
Langs, Georg [1 ,2 ]
机构：
[1] Med Univ Vienna, Machine Learning Med Imaging, Vienna, Austria
[2] Med Univ Vienna, Computat Imaging Res Lab, Dept Biomed Imaging & Image Guided Therapy, Vienna, Austria
来源：
RADIOLOGY | 2023年 / 307卷 / 05期
基金：
奥地利科学基金会;
关键词：
D O I：
10.1148/radiol.231116
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
引用
收藏
页数：2
相关论文
共 50 条
  • [41] Service innovations: risk assessment in learning disability
    Bhaumik, S.
    Nadkarni, S. S.
    Biswas, A. B.
    Watson, J. M.
    PSYCHIATRIC BULLETIN, 2005, 29 (01): : 28 - 31
  • [42] Deep learning to predict risk of lateral skull base cerebrospinal fluid leak or encephalocele
    Curry, Steven D.
    Boochoon, Kieran S.
    Casazza, Geoffrey C.
    Surdell, Daniel L.
    Cramer, Justin A.
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2024, 19 (12) : 2453 - 2461
  • [43] Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers
    Foldyna, Borek
    Hadzic, Ibrahim
    Zeleznik, Roman
    Langenbach, Marcel C.
    Raghu, Vineet K.
    Mayrhofer, Thomas
    Lu, Michael T.
    Aerts, Hugo J. W. L.
    COMMUNICATIONS MEDICINE, 2024, 4 (01):
  • [44] Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers
    Borek Foldyna
    Ibrahim Hadzic
    Roman Zeleznik
    Marcel C. Langenbach
    Vineet K. Raghu
    Thomas Mayrhofer
    Michael T. Lu
    Hugo J. W. L. Aerts
    Communications Medicine, 4
  • [45] ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation
    Khurshid, Shaan
    Friedman, Samuel
    Reeder, Christopher
    Di Achille, Paolo
    Diamant, Nathaniel
    Singh, Pulkit
    Harrington, Lia X.
    Wang, Xin
    Al-Alusi, Mostafa A.
    Sarma, Gopal
    Foulkes, Andrea S.
    Ellinor, Patrick T.
    Anderson, Christopher D.
    Ho, Jennifer E.
    Philippakis, Anthony A.
    Batra, Puneet
    Lubitz, Steven A.
    CIRCULATION, 2022, 145 (02) : 122 - 133
  • [46] Individual treatment expectations predict clinical outcome after lumbar injections against low back pain
    Mueller-Schrader, Matthias
    Heinzle, Jakob
    Mueller, Alfred
    Lanz, Christian
    Haeussler, Oliver
    Sutter, Martin
    Eggspuehler, Andreas
    Mare, Stefania
    Toussaint, Birte
    Pereira, Ines
    Petzschner, Frederike H.
    Wiech, Katja
    Barth, Juergen
    Witt, Claudia M.
    Stephan, Klaas Enno
    Manjaly, Zina-Mary
    PAIN, 2023, 164 (01) : 132 - 141
  • [47] PET to predict treatment response and outcome
    Howes, O.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2015, 25 : S139 - S139
  • [48] A prognostic computer model to predict individual outcome in interventional cardiology
    Budde, T
    Haude, M
    Hopp, HW
    Kerber, S
    Caspari, G
    Fassbender, G
    Fingerhut, M
    Novopashenny, I
    Breithardt, G
    Erbel, R
    Erdmann, E
    Wischnewsky, MB
    EUROPEAN HEART JOURNAL, 1997, 18 (10) : 1611 - 1619
  • [49] How to predict and monitor individual responses to treatment
    Tintore, M.
    JOURNAL OF NEUROLOGY, 2009, 256 : S7 - S7
  • [50] Towards an individual treatment in alcoholism: Project predict
    Mann, K. F.
    Smolka, M.
    Diehl, A.
    Zimmermann, U.
    Heinz, A.
    EUROPEAN PSYCHIATRY, 2007, 22 : S29 - S29
12345